JP7536962B2 - Rehabilitation guidance support system using activity visualization - Google Patents

Description

The present invention relates to a rehabilitation instruction support system that visualizes activity levels.

In recent years, systems have been developed for remotely providing rehabilitation guidance to patients suffering from heart failure or the like.
Moreover, Patent Document 1 discloses a system for managing the health of trainees who have lifestyle-related diseases such as diabetes.

The system described in Patent Document 1 includes a measuring device carried by the trainee to measure the trainee's activities, a database that stores the trainee's biometric test results, and a data processing device that is communicatively connected to the measuring device and processes the trainee's activity data measured by the measuring device.

The measuring device is a so-called pedometer, and includes an acceleration sensor and an activity data processing unit. The activity data processing unit determines the activity intensity of the trainee every four seconds from the amplitude of the waveform of the signal output from the acceleration sensor. The activity data processing unit also classifies the determined activity intensity into one of the following activity states according to the intensity: resting state, walking state, brisk walking state, and running state.

The data processing device includes a data creation unit that creates data for a health management report. The health report data is sent to a terminal for an instructor who provides rehabilitation guidance to the trainee, and is displayed on a display unit of the terminal. The health report data includes data on the time required for each of the trainee's activity states over the course of a week: resting state, walking state, fast walking state, and running state.

By using this health management system, a trainer can provide health guidance to a trainee based on the trainee's activity status over the course of a week as determined from the health report.

JP 2004-121562 A

A trainee with heart failure or the like rarely engages in high-intensity activities such as brisk walking or running, but instead walks relatively slowly. However, when providing rehabilitation guidance to a trainee with heart failure or the like using the system disclosed in Patent Document 1, most of the trainee's activity status over the course of a week as determined from the health report will be in a resting state and walking state. As a result, a trainer such as a doctor cannot determine how much of the trainee's relatively slow walking time is spent walking at a medium intensity or walking at a high intensity. Therefore, there is room for improvement in providing effective support for rehabilitation guidance for each trainee.

Various aspects of a rehabilitation instruction support system using activity visualization to solve the above problems will be described.
[Aspect 1]
A rehabilitation instruction support system by activity visualization comprising: a trainee terminal including a wearable device; a server; and an instructor terminal having an input unit and a display unit, wherein the wearable device executes detecting an activity intensity of the trainee; the trainee terminal executes transmitting data of the activity intensity detected by the wearable device to the server; the server executes receiving the activity intensity data transmitted from the trainee terminal, storing the received activity intensity data for each trainee, generating time data for the trainee designated by an input operation through the input unit based on the stored activity intensity data, during a period designated by the input operation, during which the trainee performed an activity at a designated activity intensity, which is an activity intensity within an intensity range designated by the input operation, and outputting the time data to be displayed on the display unit; and the instructor terminal executes displaying the time data for the trainee designated by the input operation on the display unit, and individually setting a lower limit value and an upper limit value of the designated activity intensity for each trainee based on the input operation.

According to this configuration, the wearable device attached to the trainee detects the activity intensity of the trainee. Then, data on the detected activity intensity is transmitted from the trainee's terminal to the server. Here, according to the above configuration, the lower limit and upper limit of the designated activity intensity are set individually for each trainee based on an input operation through the input unit of the trainee's terminal. The server generates time data for the trainee designated by the input operation during which the trainee performed the activity at the designated activity intensity during the period. Then, the time data is displayed on the display unit of the trainee's terminal. This allows the trainer to set the range of the designated activity intensity according to the trainee's physical ability, and to grasp the time data during which the activity was performed at the designated activity intensity thus set, i.e., the amount of activity, through the display unit. Therefore, rehabilitation training can be effectively supported for each trainee.

[Aspect 2]
When the time data is medium intensity time data, the server generates, based on the stored activity intensity data, low intensity time data, which is time data for when activity was performed at an activity intensity below the lower limit, and high intensity time data, which is time data for when activity was performed at an activity intensity exceeding the upper limit, during the period, and outputs the medium intensity time data, the low intensity time data, and the high intensity time data to be displayed on the display unit, and the instructor terminal displays the medium intensity time data, the low intensity time data, and the high intensity time data on the display unit for the instructor specified by the input operation.

According to this configuration, the medium intensity time data, low intensity time data, and high intensity time data are displayed on the display unit of the instructor's terminal. This allows the instructor to grasp the low intensity time data and high intensity time data in addition to the medium intensity time data through the display unit. This makes it possible to more effectively support rehabilitation instruction for each trainee.

[Aspect 3]
The server acquires weather information data for the period and outputs the weather information data to be displayed on the display unit, and the instructor terminal displays the weather information data together with the time data on the display unit. This is the rehabilitation training support system by activity visualization described in [Aspect 1] or [Aspect 2].

According to this configuration, the weather information data is displayed on the display unit of the instructor's terminal together with the time data. This allows the instructor to understand the relationship between the time data and the weather information data.

[Aspect 4]
A rehabilitation training support system by activity visualization described in any one of [Aspect 1] to [Aspect 3], wherein the activity intensity is walking intensity, the specified activity intensity is a specified walking intensity, and the time data is time data of walking at the specified walking intensity.

With this configuration, the trainer can set the range of designated walking intensity for each trainee individually according to the trainee's physical ability, and can view the time data for walking at the designated walking intensity through the display unit.

[Aspect 5]
A rehabilitation training support system by activity visualization described in any one of [Aspect 1] to [Aspect 4], wherein the activity intensity is all activity intensities including walking intensity, and the time data is all activity time data including walking.

With this configuration, the trainer can set the range of designated activity intensities for each trainee individually for all activity intensities, including walking intensity, according to the trainee's physical ability. In addition, the trainer can view the time data for the activities performed at the designated activity intensities thus set through the display unit.

[Aspect 6]
The wearable device detects the wakefulness state of the trainee, and the trainee terminal transmits data of the wakefulness state detected by the wearable device to the server. The server generates inactivity time data during wakefulness when the trainee designated by the input operation performs an activity at an inactivity intensity that is equal to or less than the threshold value designated by the input operation during the period based on the stored activity intensity data and the wakefulness data, and outputs the inactivity time data to be displayed on the display unit. The trainer terminal displays the inactivity time data on the display unit for the trainee designated by the input operation, and sets the threshold value individually for each trainee based on the input operation. The rehabilitation training support system by activity visualization according to any one of [Aspect 1] to [Aspect 5].

According to this configuration, the wakefulness state of the trainee is detected by the wearable device attached to the trainee. Then, data on the detected wakefulness state is transmitted from the trainee's terminal to the server. Here, according to the above configuration, a threshold value that is an upper limit of the inactivity intensity during wakefulness is set individually for each trainee based on an input operation through the input unit of the trainee's terminal. In the server, data on the inactivity time during wakefulness during the period is generated for the trainee specified by the input operation. Then, the data on the inactivity time during wakefulness is displayed on the display unit of the trainee's terminal. This allows the trainee to individually set the upper limit of the inactivity intensity for each trainee according to the trainee's physical ability, and to grasp the data on the inactivity time during wakefulness during which activity was performed at the inactivity intensity thus set through the display unit. Therefore, rehabilitation training can be supported more effectively for each trainee.

[Aspect 7]
The server,
generating walking speed data for the trainee designated by the input operation based on the stored walking intensity data when the trainee walks at the designated walking intensity during a period designated by the input operation;
outputting the walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the walking speed data for the trainee designated by the input operation;
A rehabilitation instruction support system using activity visualization according to aspect 4.

According to this configuration, the server generates walking speed data for the trainee specified by the input operation when the trainee walks at the specified walking intensity during the period specified by the input operation. The walking speed data is then displayed on the display unit of the trainer's terminal. This allows the trainer to grasp the walking speed data when walking at the set specified walking intensity through the display unit. This makes it possible to more effectively support rehabilitation training for each trainee.

[Aspect 8]
When the walking speed data is medium intensity walking speed data,
The server,
generating low-intensity walking speed data, which is time data during the period during which walking was performed at a walking intensity lower than the lower limit, based on the stored walking intensity data;
outputting the medium intensity walking speed data and the low intensity walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the medium intensity walking speed data and the low intensity walking speed data for the trainee designated by the input operation;
A rehabilitation instruction support system using activity visualization according to aspect 7.

According to this configuration, the server generates medium-intensity walking speed data and low-intensity walking speed data. The medium-intensity walking speed data and low-intensity walking speed data are then displayed on the display unit of the instructor's terminal. This allows the instructor to grasp the walking speed data by intensity through the display unit. This makes it possible to more effectively support rehabilitation instruction for each trainee.

[Aspect 9]
The instructor terminal includes:
Setting step length data of the trainee at the designated walking intensity for each trainee based on the input operation;
The wearable device includes:
Detecting step count data of the trainee;
The trainee terminal includes:
transmitting the step count data detected by the wearable device to the server;
The server,
generating walking speed data for the trainee designated by the input operation when the trainee walked at the designated walking intensity during the period based on the stored walking intensity data, the step count data, and the stride length data;
A rehabilitation instruction support system using activity visualization according to aspect 7.

According to this configuration, for a trainee specified by an input operation, walking speed data is generated when the trainee walks at a specified walking intensity during a period specified by the input operation, based on walking intensity data, stride length data at the specified walking intensity, and step count data. Therefore, walking speed data can be generated without using a GPS (Global Positioning System).

[Aspect 10]
A terminal for a trainee including a wearable device;
A server;
An instructor terminal having an input unit and a display unit,
The wearable device includes:
Detecting the walking intensity of the trainee;
The trainee terminal includes:
transmitting data of the walking intensity detected by the wearable device to the server;
The server,
receiving the walking intensity data transmitted from the trainee terminal;
storing the received walking intensity data for each of the trainees;
generating walking speed data for the trainee designated by an input operation through the input unit, based on the stored walking intensity data, when the trainee walks at a designated walking intensity, which is within an intensity range designated by the input operation, during a period designated by the input operation;
outputting the walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the walking speed data for the trainee designated by the input operation;
and setting a lower limit value and an upper limit value of the designated walking intensity for each of the trainees based on the input operation.
A rehabilitation instruction support system that visualizes activity levels.

According to this configuration, the walking intensity of the trainee is detected by a wearable device attached to the trainee. Then, data on the detected walking intensity is transmitted from the trainee's terminal to the server. Here, according to the above configuration, the lower limit and upper limit of the designated walking intensity are set individually for each trainee based on an input operation through the input unit of the trainee's terminal. The server generates walking speed data for the trainee designated by the input operation, which indicates the walking speed at which the trainee walked at the designated walking intensity during the period. Then, the walking speed data is displayed on the display unit of the trainee's terminal. This allows the trainer to set the range of the designated walking intensity according to the trainee's physical ability, and to grasp the walking speed data at the walking speed at the designated walking intensity thus set through the display unit. Therefore, rehabilitation training can be effectively supported for each trainee.

The present invention makes it possible to effectively support rehabilitation instruction for each trainee.

FIG. 1 is a schematic diagram showing the entire system of a first embodiment of a rehabilitation instruction support system using activity visualization. FIG. 2 is a block diagram showing a schematic configuration of the wearable device. FIG. 3 is a block diagram showing a schematic configuration of the data communication device. FIG. 4 is a screen showing a list of trainees. FIG. 5 shows a setting screen relating to walking times by intensity. FIG. 6 shows a setting screen relating to the activity time for a specified exercise intensity. FIG. 7 shows a setting screen relating to the physical inactivity time during wakefulness. FIG. 8 is a report screen showing daily averages of walking time by intensity and activity time at a specified exercise intensity. FIG. 9 is a report screen showing walking time by intensity for each day. FIG. 10 is a report screen showing activity time classified by exercise intensity for each day. FIG. 11 is a report screen showing the amount of time spent inactive while awake for each day and the average pulse rate during that time. FIG. 12 is a report screen showing the walking time by intensity and the pulse rate over the course of a day. FIG. 13 shows a setting screen relating to a target value for a moderate intensity walking speed and a stride length in the second embodiment. FIG. 14 shows a setting screen relating to wearer information. FIG. 15 is a report screen showing daily averages of walking time by intensity and activity time at a specified exercise intensity. FIG. 16 is a report screen showing the average moderate intensity walking speed for each day. FIG. 17 is a report screen showing the average low intensity walking speed for each day. FIG. 18 is a report screen showing the walking time by intensity and the pulse rate over the course of a day.

First Embodiment
Hereinafter, the first embodiment will be described with reference to FIGS.
As shown in Figure 1, the rehabilitation training support system 1 using activity visualization supports rehabilitation training, and includes a trainee terminal 5 including a wearable device 51, a server 3, and an instructor terminal 4 having an input unit 43 and a display unit 42.

The trainee terminal 5, the server 3, and the trainer terminal 4 are communicably connected via a network 2. The network 2 is, for example, the Internet.
In Fig. 1, for the sake of simplicity, only one trainee terminal 5 and one instructor terminal 4 are shown. However, the server 3, as a cloud computer, can identify many trainee terminals 5 by their user IDs and identify many instructor terminals 4 by their instructor IDs, thereby processing many pieces of information simultaneously in real time. The user ID of the trainee terminal is associated one-to-one with the trainee ID (also called the wearer ID) described later.

<Teachee terminal 5>
As shown in FIG. 1 , the trainee terminal 5 includes a wearable device 51 and a data communication device 52 .

(Wearable device 51)
The wearable device 51 is worn on the wrist of the trainee, collects biometric information of the trainee, and transmits the biometric data wirelessly to the data communication device 52.

As shown in FIG. 2 , the wearable device 51 includes a power supply unit 61 , a control unit 62 , various sensors such as an acceleration sensor 63 and a pulse sensor 64 , and a wireless transmission unit 65 .
The control unit 62 has a CPU, a ROM, a RAM, a storage medium, etc. (not shown). The control unit 62 is electrically connected to various sensors for collecting biological information of the trainee.

The control unit 62 detects the walking of the trainee, for example, based on the detection signal of the acceleration sensor 63. The acceleration sensor 63 is a well-known three-axis acceleration sensor, and is used to detect body movement from the composite value of acceleration.

The control unit 62 detects the activity intensity of the trainee based on, for example, a detection signal from the acceleration sensor 63 .
METs (Metabolic equivalents) (hereinafter referred to as MET values) are used to measure activity intensity.

The control unit 62 derives the MET value using the detection signal of the acceleration sensor 63 and a well-known arithmetic expression.
The control unit 62 detects that the trainee is asleep when the acceleration sensor 63 does not detect acceleration for a predetermined time or more. Also, when the control unit 62 does not detect the trainee's asleep state, it detects that the trainee is awake. In this embodiment, the control unit 62 detects that the trainee is awake, and thus a primary determination of the awake state is made. After that, the server 3, which will be described later, makes a definitive determination of the awake state based on the primary determination.

The pulse sensor 64 detects the pulse of the trainee. The pulse sensor 64 has a known configuration and includes an LED, a photodiode, a circuit board, and the like.
The wireless transmission unit 65 transmits biological information such as the number of steps, activity intensity, sleep state, wakefulness state, pulse rate, etc., together with the user ID of the trainee terminal, the serial number of the trainee terminal, and time information as text data to the data communication device 52. In this embodiment, short-distance wireless communication is used as the wireless communication.

(Data communication device 52)
As shown in FIG. 1 , the data communication device 52 receives various types of biological information detected by the wearable device 51 , and transmits the received data to the server 3 via the network 2 .

As shown in FIG. 3, the data communication device 52 includes a power supply unit 71, a control unit 72, a receiving unit 73, a transmitting unit 74, and the like.
The control unit 72 has a CPU, RAM, ROM, etc. (not shown). The receiving unit 73 receives various types of biological information data from the wearable device 51. The transmitting unit 74 transmits the various types of biological information data to the server 3 via the network 2.

<Instructor's terminal 4>
As shown in FIG. 1, the instructor's terminal 4 is configured as a well-known computer system connectable to a network 2 .

The instructor's terminal 4 includes a terminal main body 41 , a display unit 42 , and an input unit 43 .
The terminal main body 41 has a CPU, ROM, RAM, an interface, a HDD, etc. The terminal main body 41 is a well-known computer that functions as an Internet client terminal with an OS and Internet browsing software installed. The display unit 42 is, for example, a liquid crystal display. The input unit 43 is composed of a keyboard, a mouse, etc. Note that when the instructor terminal 4 is configured as a touch panel type tablet terminal, the display unit 42 and the input unit 43 are configured by a touch panel.

<Server 3>
As shown in FIG. 1, the server 3 is a cloud computer system, and functions as a server computer of a client-server system in which the trainee terminal 5 and the trainer terminal 4 are clients.

The server 3 includes a gateway server 31, a database 32, a resource server 33, and a client server 34.
The server 3 receives biometric information data such as activity intensity data (hereinafter, activity intensity data S) and alertness state data (hereinafter, alertness state data A) transmitted from the trainee terminal 5 via the network 2 through the gateway server 31.

The server 3 associates the received biometric data with the user ID of the trainee terminal and the serial number of the trainee terminal, and stores the data in the database 32 in association with each trainee and with time data. The data stored in the database 32 is transferred to the resource server 33, and then transferred from the resource server 33 to the client server 34 via an API (Application Programming Interface).

The client server 34 and the instructor's terminal 4 form a client-server system. The client server 34 performs processing and output based on requests from the instructor's terminal 4.

The client server 34 outputs various data to the display unit 42 of the instructor's terminal 4 via the network 2 so that the data is displayed.
The client server 34 generates medium intensity time data Tm, low intensity time data Tl, and high intensity time data Th based on the activity intensity data S stored in the client server 34 for the trainee (user ID associated with the trainee ID) specified by an input operation (hereinafter, input operation) through the input unit 43.

The client server 34 generates physical inactivity time data TI for the trainee specified by the input operation based on the activity intensity data S and the wakefulness state data A stored in the client server 34. Note that the physical inactivity time data TI corresponds to the inactivity time data.

The medium intensity time data Tm is time data during which activity was performed at a specified activity intensity Sm, which is an activity intensity within the intensity range specified by the input operation, during a period P specified by the input operation.

The low intensity time data Tl is time data during which an activity was performed at an activity intensity lower than the lower limit Smth1 of the designated activity intensity Sm during the period P.
The high intensity time data Th is time data during which an activity was performed at an activity intensity exceeding the upper limit value Smth2 of the designated activity intensity Sm during the period P.

The physical inactivity time data TI is data on the physical inactivity time during wakefulness when activity was performed at a physical inactivity intensity SI, which is an activity intensity equal to or less than the threshold value SIth during the period P. The physical inactivity intensity SI corresponds to the inactivity intensity.

The client server 34 acquires weather information data for a period P (hereinafter, weather information data W) via the network 2 .
The client server 34 outputs the medium intensity time data Tm, the low intensity time data Tl, the high intensity time data Th, the physical inactivity time data TI, and the weather information data W to be displayed on the display unit 42 of the instructor's terminal 4.

Meanwhile, the instructor's terminal 4 displays the medium intensity time data Tm, the low intensity time data Tl, and the high intensity time data Th for the trainee specified by the input operation on the display unit 42. The instructor's terminal 4 displays the physical inactivity time data TI for the trainee specified by the input operation on the display unit 42. The instructor's terminal 4 displays the weather information data W on the display unit 42 together with the time data Tm, Tl, and Th.

Further, the instructor terminal 4 sets the lower limit value Smth1, the upper limit value Smth2, and the threshold value SIth of the designated activity intensity Sm individually for each instructor based on an input operation.
Next, a trainee list screen 75 displayed on the display unit 42 of the trainer terminal 4 will be described with reference to FIG.

When the instructor's own ID and password are inputted into the instructor's terminal 4 by an input operation, a trainee list screen 75 is displayed on the display unit 42 .
4, the trainee list screen 75 displays, from the left, the wearer ID (trainee ID), wearer name (trainee's name), pulse (date and time), iAide-W S/N (serial number of the wearable device 51), remaining battery level (remaining battery level of the wearable device 51), etc. for each trainee. In addition, the trainee list screen 75 displays an individual setting icon, a wearer update icon 77, and a goal setting icon 76, etc. for each trainee.

Next, with reference to Figures 5 to 7, we will explain the various setting screens (setting screen 80 for walking time by intensity, setting screen 90 for activity time at a specified exercise intensity, and setting screen 100 for physical inactivity time while awake) that are displayed on the display unit 42 of the instructor's terminal 4.

When the goal setting icon 76 is selected on the instructor's terminal 4 by an input operation, various setting screens 80, 90, 100 are displayed on the display unit 42 in order from the top.
As shown in FIG. 5, a setting screen 80 for setting walking times by intensity displays, from the top, a target time setting section 81, a medium intensity range setting section 82, and a graph display order setting section 83.

From the pull-down menu of the two "▽" buttons in the target time setting section 81, a target value for the walking time at a moderate intensity in one day (24 hours) can be set.
The lower and upper limits of the medium intensity can be set from the pull-down menus of the two “▽” buttons in the medium intensity range setting section 82 .

From the pull-down menu of the “▽” button in the graph display order setting section 83, the display order of the bar graphs showing the walking times by intensity can be set.
In this case, the walking intensity corresponds to the activity intensity. The medium intensity is the designated activity intensity Sm and corresponds to the designated walking intensity. The lower limit and upper limit of the medium intensity correspond to the lower limit Smth1 and the upper limit Smth2 of the designated activity intensity Sm, respectively.

As shown in FIG. 6, the setting screen 90 for the activity time of the specified exercise intensity displays, from the top, a target time setting section 91, a specified exercise intensity range setting section 92, and a graph display order setting section 93.

From the pull-down menu of the two “▽” buttons in the target time setting section 91, a target value for the activity time at a specified exercise intensity in one day (24 hours) can be set.
The lower limit and upper limit of the designated exercise intensity can be set from the pull-down menu of the two “▽” buttons in the designated exercise intensity range setting section 92 .

From the pull-down menu of the “▽” button in the graph display order setting section 93, the display order of the bar graphs showing the activity time of the specified exercise intensity can be set.
In this case, all activity intensities including walking intensity correspond to the activity intensity. The designated exercise intensity corresponds to the designated activity intensity Sm. The lower limit and upper limit of the designated exercise intensity Sm correspond to the lower limit Smth1 and the upper limit Smth2, respectively.

As shown in FIG. 7, a setting screen 100 for setting the physical inactivity time during wakefulness displays, from the top, a target time setting section 101 and a physical inactivity range setting section 102.
From the pull-down menu of the two “▽” buttons in the target time setting section 101, a target value for the amount of physical inactivity time during wakefulness in one day (24 hours) can be set.

By selecting one of the three radio buttons in the physical inactivity range setting section 102, a threshold value of the activity intensity that defines the range of physical inactivity during wakefulness can be set.
The threshold value corresponds to a threshold value SIth that is an upper limit of the physical inactivity intensity SI during wakefulness. The physical inactivity intensity SI is an activity intensity that is equal to or less than the threshold value SIth.

When various settings are made in this manner, various reports shown in FIGS.
Next, a report screen showing daily averages of walking times by intensity and activity times at specified exercise intensities will be described with reference to FIG.

As shown in FIG. 8, this report screen displays the average daily values of walking time by intensity and activity time at a specified exercise intensity for a period (e.g., one week) specified by input operations. In more detail, the report screen displays a pie chart of walking time by intensity and a pie chart of activity time at a specified exercise intensity. The report screen also displays a table of the goals, results, and achievement rate (%) for each of the number of steps, walking time (only medium intensity), activity time at a specified exercise intensity (when awake), and physical inactivity time (when awake), etc.

Next, a report screen showing walking times classified by intensity for each day will be described with reference to FIG.
9, the report screen displays a bar graph of walking time by intensity for each day in a week specified by input operation, together with the target moderate intensity walking time. Also, on each bar graph, the total walking time for that day and the walking times for moderate, low, and high intensity are displayed.

Here, the medium intensity walking time, the low intensity walking time, and the high intensity walking time correspond to the medium intensity time data Tm, the low intensity time data Tl, and the high intensity time data Th, respectively. Furthermore, one day (24 hours) corresponds to the period P.

Next, a report screen showing the activity time classified by exercise intensity for each day will be described with reference to FIG.
10, the report screen displays a bar graph of the activity time for each exercise intensity for each day in a week specified by the input operation, together with the target activity time for the specified exercise intensity. Also, on each bar graph, the numerical value of the total activity time for that day, and the numerical values of the activity time for the specified exercise intensity, the activity time below the specified exercise intensity, and the activity time above the specified exercise intensity are displayed.

Here, the activity time of the specified exercise intensity, the activity time below the specified exercise intensity, and the activity time of the specified exercise intensity or higher correspond to the medium intensity time data Tm, the low intensity time data Tl, and the high intensity time data Th, respectively. Furthermore, one day (24 hours) corresponds to the period P.

Next, referring to FIG. 11, a report screen showing the time of physical inactivity during waking hours for each day and the average pulse rate for that day will be described.
11, the report screen displays a bar graph of the physical inactivity time during wakefulness for each day in a week specified by an input operation, a line graph of the average pulse rate for that day, and a target physical inactivity time. In addition, the numerical values of the physical inactivity time during wakefulness for that day and the average pulse rate for that day are displayed on the bar graph showing the physical inactivity time during wakefulness for that day.

Here, the physical inactivity time during wakefulness corresponds to the physical inactivity time data T I. Furthermore, one day (24 hours) corresponds to the period P.
Next, a report screen showing the walking time by intensity and the pulse rate over a one-day (24-hour) period will be described with reference to FIG.

As shown in FIG. 12, this report screen displays a bar graph of walking time by intensity for that day (24 hours). In addition, the change in pulse rate (bpm) from midnight to midnight on that day is displayed as a scatter plot. This graph displays the change in the number of steps per specified time (for example, one minute) as a bar graph. Note that, instead of the change in the number of steps, the change in the MET value per specified time can be displayed as a bar graph through the selection by the instructor on the report output instruction screen (not shown). Furthermore, this graph displays the pulse rate after walking as a scatter plot of "○", while the pulse rate excluding after walking is displayed as a scatter plot of "●". Here, the pulse rate after walking is the pulse rate detected in a resting state after walking continuously for a set time or more. Note that this set time can be variably set.

The report screen also displays the weather information for that day, including the weather, minimum temperature, and maximum temperature.
Here, this weather information corresponds to the weather information data W.

Next, the effects of this embodiment will be described.
(1) The wearable device 51 worn by the trainee detects the activity intensity of the trainee. Then, the detected activity intensity data S is transmitted from the trainee terminal 5 to the server 3. Here, a lower limit Smth1 and an upper limit Smth2 of the designated activity intensity Sm are set individually for each trainee based on an input operation through the input unit 43 of the trainee terminal 4. In the server 3, time data (medium intensity time data Tm) during which the trainee performed the activity at the designated activity intensity Sm during the period P is generated for the trainee designated by the input operation. Then, the medium intensity time data Tm is displayed on the display unit 42 of the trainee terminal 4. This allows the trainee to set the range of the designated activity intensity Sm according to the trainee's physical ability, and to grasp the time data during which the activity was performed at the designated activity intensity Sm thus set, that is, the amount of activity, through the display unit. Therefore, rehabilitation training can be effectively supported for each trainee.

(2) The medium intensity time data Tm, low intensity time data Tl, and high intensity time data Th are displayed on the display unit 42 of the instructor's terminal 4. This allows the instructor to grasp the low intensity time data Tl and high intensity time data Th in addition to the medium intensity time data Tm through the display unit 42. This allows for more effective support of rehabilitation instruction for each trainee.

(3) The weather information data W is displayed on the display unit 42 of the instructor's terminal 4 together with the time data Tm, Tl, and Th. This allows the instructor to understand the relationship between the time data Tm, Tl, and Th and the weather information data W.

(4) Activity intensity is walking intensity, designated activity intensity Sm is designated walking intensity, and medium intensity time data Tm is time data during which walking was performed at the designated walking intensity.
According to this configuration, the trainer can set the range of the designated walking intensity for each trainee individually according to the trainee's physical ability, and can grasp the medium intensity time data Tm during which the trainee walked at the designated walking intensity thus set through the display unit 42.

(5) The activity intensity is all activity intensities including walking intensity, and the time data Tm, Tl, and Th are all activity time data including walking.
With this configuration, the trainer can set the range of the designated activity intensity Sm for each trainee individually for all activity intensities including walking intensity according to the trainee's physical ability. Furthermore, the trainer can grasp the time data Tm, Tl, and Th during which the trainee performed the activity at the designated activity intensity Sm thus set through the display unit 42.

(6) The wearable device 51 worn by the trainee detects the trainee's state of wakefulness. Then, the detected wakefulness state data A is transmitted from the trainee's terminal 5 to the server 3. Here, a threshold value SIth, which is the upper limit of the wakefulness physical inactivity intensity SI, is set individually for each trainee based on an input operation through the input unit 43 of the trainee's terminal 4. In the server 3, for the trainee specified by the input operation, wakefulness physical inactivity time data TI in the period P is generated. Then, the wakefulness physical inactivity time data TI is displayed on the display unit 42 of the trainee's terminal 4. This allows the trainee to individually set the upper limit of the physical inactivity intensity SI for each trainee according to the trainee's physical ability, and to grasp the wakefulness physical inactivity time data TI during which activity was performed at the thus set physical inactivity intensity SI through the display unit 42. Therefore, rehabilitation training can be more effectively supported for each trainee.

Second Embodiment
The second embodiment will be described below with reference to FIGS.
In this embodiment, in addition to the first embodiment, walking speed data when the trainee designated by the input operation walks at a medium intensity (hereinafter, medium intensity walking speed data Vm) is generated and displayed on the display unit 42, which is different from the first embodiment.

The following description will focus on the differences from the first embodiment.
As shown in FIG. 1, the data communication device 52 constituting the trainee terminal 5 receives step count data N detected by the wearable device 51 and transmits it to the server 3 via the network 2 .

The instructor terminal 4 sets the stride length data Lm for the trainee during medium intensity walking individually for each trainee based on an input operation.
The client server 34 generates, for the trainee specified by the input operation, medium-intensity walking speed data Vm and low-intensity walking speed data Vl for the period P specified by the input operation, based on the stored walking intensity data S.

In detail, the client server 34 generates medium-intensity walking speed data Vm for a period P based on the stored walking intensity data S, step count data N, and stride length data Lm for a trainee specified by an input operation. The medium-intensity walking speed data Vm is walking speed data when the trainee walks at a specified walking intensity Sm, which is a walking intensity within the intensity range specified by an input operation.

The client server 34 generates low-intensity walking speed data Vl for a period P for a trainee designated by an input operation based on the stored walking intensity data S, step count data N, and stride length data Ll for low-intensity walking. The low-intensity walking speed data Vl is walking speed data when walking is performed at a walking intensity that does not meet the lower limit Smth1 of the designated walking intensity Sm for the period P.

The method for setting the stride data Lm and Ll will be described in detail later.
The client server 34 outputs the medium intensity walking speed data Vm and the low intensity walking speed data Vl to the display unit 42 of the instructor's terminal 4 so as to be displayed thereon.

On the other hand, the instructor's terminal 4 displays on the display unit 42 the medium intensity walking speed data Vm and the low intensity walking speed data Vl for the trainee designated by the input operation.
Next, with reference to Figures 13 and 14, various setting screens (setting screen 110 for target value of moderate intensity walking speed and stride length, setting screen 120 for wearer information) displayed on the display unit 42 of the instructor's terminal 4 will be described.

As shown in FIG. 4, when the goal setting icon 76 is selected on the instructor's terminal 4 by an input operation, a setting screen 110 for the target value of the moderate intensity walking speed and the stride length is displayed on the display unit 42 in addition to the various setting screens 80, 90, and 100 described in the first embodiment.

As shown in FIG. 13, a setting screen 110 for setting a target value of a moderate intensity walking speed and a stride length displays, from the top, a target speed setting section 111 and a stride length setting section 112.
In the target speed setting section 111, a target value of the moderate intensity walking speed can be input and set via a keyboard or the like of the instructor's terminal 4. Here, the target value is set to 3.60 km/hour.

In the stride length setting section 112, stride length data Lm for medium intensity walking can be input and set via a keyboard or the like of the instructor's terminal 4.
In general, the stride length tends to increase as the walking intensity increases. Therefore, in this embodiment, the stride length used in calculating the walking speed for each of the medium-intensity walking, low-intensity walking, and high-intensity walking is set for each walking intensity.

In this embodiment, the upper and lower limits of the walking intensity of medium-intensity walking, which are specified when setting the stride length for each walking intensity, are not the upper and lower limits of the specified walking intensity Sm, but are values that are set uniformly regardless of the trainee. In this embodiment, medium-intensity walking is defined as walking equal to or greater than a first predetermined value (MET value) and less than a second predetermined value (MET value) that is greater than the first predetermined value, low-intensity walking is defined as walking less than the first predetermined value, and high-intensity walking is defined as walking equal to or greater than the second predetermined value.

Next, a method for calculating stride length data for each walking intensity will be described.
<Method of calculating stride data when stride data Lm for medium intensity walking is not input>
If the stride data Lm for moderate walking intensity has not been input, the stride data Lm, Ll, and Lh are calculated by multiplying the wearer's height data H by predetermined stride conversion coefficients αm, αl, and αh (where 0<αl<αm<αh<1). The wearer's height data H can be set on the setting screen 120 for wearer information (see FIG. 14).

As shown in FIG. 4, when a wearer update icon 77 is selected on the instructor's terminal 4 by an input operation, a setting screen 120 relating to wearer information is displayed on the display unit 42 .
As shown in FIG. 14, the setting screen 120 for wearer information displays, from the top, a wearer ID setting section, a wearer's last name and kana setting section, a birth year setting section, a gender setting section, a height setting section 121, and a weight setting section.

In the height setting section 121, height data H can be input and set via a keyboard or the like of the instructor's terminal 4. Here, height data H is set to 175.0 cm.

The stride length data Lm for moderate walking intensity is calculated based on the height data H in accordance with formula (1).
Lm=H×αm...(Formula 1)
The stride length data Ll for low intensity walking is calculated based on the height data H according to equation (2).

Ll=H×αl...(Formula 2)
The stride length data Lh for high intensity walking is calculated based on the height data H in accordance with equation (3).

Lh=H×αh...(Formula 3)
<Method of calculating stride data when stride data Lm for medium intensity walking is input>
When the stride length data Lm for moderate intensity walking is input, the input stride length data Lm is directly set as the stride length data Lm for moderate intensity walking, and the stride length data Lm and the above-mentioned stride length conversion coefficient are used to calculate the stride length. The data Ll and Lh are calculated.

The stride length data Ll for low intensity walking is calculated based on the stride length data Lm for medium intensity walking according to equation (4).
Ll=Lm/αm×αl (Formula 4)
The stride length data Lh for high intensity walking is calculated based on the stride length data Lm for medium intensity walking according to formula (5).

Lh=Lm/αm×αh...(Formula 5)
<Calculation method of the medium intensity walking speed data Vm and the low intensity walking speed data Vl>
When calculating the moderate intensity walking speed data Vm, the walking speed when walking at a designated walking intensity Sm (moderate intensity walking) is calculated every minute. The moderate intensity walking speed data Vm is calculated by dividing the total sum of the data for one day (24 hours) by the number of the data.

The walking speed per minute (cm/min) data is calculated by multiplying the number of steps per minute data N by the stride length data Lm (cm) for moderate intensity walking. When calculating the moderate intensity walking speed data Vm (km/h) based on the walking speed per minute (cm/min) data, a unit conversion is performed.

When calculating the low-intensity walking speed data Vl, the walking speed when walking at an activity intensity below the specified activity intensity Sm (low-intensity walking) is calculated for each minute. The low-intensity walking speed data Vl is calculated by dividing the sum of the walking speed data for each minute calculated in this way by the number of pieces of data.

The walking speed per minute (cm/min) data is calculated by multiplying the step count data N per minute by the stride length data Ll (cm) for low-intensity walking. When calculating the low-intensity walking speed data Vl (km/h) based on the walking speed per minute (cm/min), a unit conversion is performed.

When the various settings described above are made, various reports shown in FIGS.
Next, a report screen showing averages of walking times by intensity and activity times at specified exercise intensities over a period per day will be described with reference to FIG.

As shown in FIG. 15, in addition to the information displayed on the report screen shown in FIG. 8 of the first embodiment, this report screen displays the average daily walking speeds Vm and Vl (medium intensity, low intensity) for a period (e.g., one week) specified by an input operation. In more detail, the report screen displays a table showing the target, actual results, and achievement rate (%) for the average daily walking speed at medium intensity, as well as the actual results for the average daily walking speed at low intensity.

Next, a report screen showing walking speed (medium intensity) for each day will be described with reference to FIG.
16, the report screen displays a bar graph of the walking speed (medium intensity) for each day in a week specified by an input operation, together with the target walking speed (medium intensity). Also, the value of the walking speed (medium intensity) for that day is displayed on each bar graph.

Here, the walking speed (medium intensity) corresponds to the medium intensity walking speed data Vm, and one day (24 hours) corresponds to the period P.
Next, a report screen showing daily walking speed (low intensity) will be described with reference to FIG.

As shown in FIG. 17, this report screen displays a bar graph of the walking speed (low intensity) for each day in a week specified by input operations. In addition, the numerical value of the walking speed (low intensity) for that day is displayed on each bar graph.

Here, the walking speed (low intensity) corresponds to the low intensity walking speed data Vl, and one day (24 hours) corresponds to the period P.
Next, a report screen showing the walking time by intensity and the pulse rate over a one-day (24-hour) period will be described with reference to FIG.

As shown in FIG. 18, this report screen corresponds to the report screen shown in FIG. 12 of the first embodiment. This report screen does not display the progress of the number of steps per predetermined time (e.g., one minute) as a bar graph, but instead displays the progress of the average walking speed (m/sec) per predetermined time (e.g., one minute) as a bar graph.

In addition, the instructor can select on a report output instruction screen (not shown) to display a bar graph showing the progress of the number of steps per specified time or the progress of the MET value per specified time instead of the progress of the average walking speed per specified time.

Next, the effects of this embodiment will be described.
(7) In the server 3, walking speed data Vm is generated for the trainee designated by the input operation when the trainee walks at the designated walking intensity Sm during the period P designated by the input operation. Then, the walking speed data Vm is displayed on the display unit 42 of the instructor's terminal 4. This allows the instructor to grasp the walking speed data Vm when the trainee walks at the set designated walking intensity Sm through the display unit 42. This makes it possible to more effectively support rehabilitation instruction for each trainee.

(8) In the server 3, the medium-intensity walking speed data Vm and the low-intensity walking speed data Vl are generated. Then, the medium-intensity walking speed data Vm and the low-intensity walking speed data Vl are displayed on the display unit 42 of the instructor's terminal 4. This allows the instructor to grasp the walking speed data Vm, Vl by intensity through the display unit 42. Therefore, rehabilitation instruction can be more effectively supported for each trainee.

(9) For the trainee designated by the input operation, walking speed data Vm when walking at the designated walking intensity Sm during the period P is generated based on the walking intensity data S, the stride length data Lm at the designated walking intensity, and the step count data N. Therefore, the walking speed data Vm can be generated without using a GPS (Global Positioning System).

(10) The stride length data Ll for low intensity walking and the stride length data Lh for high intensity walking are calculated and set based on the stride length data Lm for medium intensity walking and the stride length conversion coefficient. This eliminates the need to measure the stride length data Ll for low intensity walking and the stride length data Lh for high intensity walking.

(11) If the stride length data Lm for moderate intensity walking has not been input, the stride length data Lm for moderate intensity walking is calculated and set based on the trainee's height data H and a stride length conversion coefficient. This eliminates the need to measure the stride length data Lm for moderate intensity walking.

(12) The change in the average walking speed (m/sec) per predetermined time period (for example, one minute) is displayed as a graph.
For example, pedestrian traffic lights are designed on the assumption that pedestrians will walk across a crosswalk at a speed of at least 1 m/s. For this reason, in rehabilitation training, it is important to know whether the walking speed of the trainee is 1 m/s or faster.

According to this embodiment, the trainer can estimate that the part of the graph shown in FIG. 18 where the bars are densely packed is the time period when the trainee is walking outdoors. Therefore, the trainer can understand the walking speed when walking outdoors from the graph and provide appropriate guidance to the trainee to increase his/her walking speed outdoors to 1 m/s or faster.

<Modification>
This embodiment can be modified as follows: This embodiment and the following modifications can be combined with each other to the extent that there is no technical contradiction.

- For example, the period displayed on the report screen shown in FIG. 8 can be changed to 10 days, 2 weeks, etc., based on input operations. The same applies to the report screens in FIGS. 9 to 12.

For example, one or more of the report screens shown in FIGS. 8 to 12 may be prevented from being displayed based on an input operation.
It is also possible to prevent the weather information data W from being displayed on the report screen shown in FIG.

- For example, on the report screen shown in FIG. 9, it is possible to prevent the low intensity walking time and the high intensity walking time from being displayed. In other words, it is possible to display only the medium intensity walking time (medium intensity time data Tm).

In the above embodiment, the period P is set to one day (24 hours). However, it may be set to, for example, 18 hours from 6:00 to 24:00.
The trainee and the trainee who use the rehabilitation training support system 1 by activity amount visualization according to the present invention may be the same person. In this case, the trainee can set the range of the designated activity intensity according to his/her own physical ability, and can grasp the time data during which the activity was performed at the designated activity intensity thus set, i.e., the amount of activity, through the display unit 42.

Instead of or in addition to the step count data N and the stride length data Lm, the walking speed data Vm may be generated based on GPS data.
Instead of or in addition to the low intensity walking speed data Vl, the high intensity walking speed data Vh may be displayed on the display unit 42.

- In the second embodiment, in addition to generating and displaying time data Tm during which activity was performed at the specified activity intensity Sm, walking speed data Vm during walking at the specified walking intensity Sm is also generated and displayed. Alternatively, it is possible to generate and display walking speed data Vm during walking at the specified walking intensity Sm, but not to generate and display time data Tm during which activity was performed at the specified activity intensity S.

LIST OF SYMBOLS 1...Rehabilitation instruction support system by visualization of activity amount 2...Network 3...Server 31...Gateway server 32...Database 33...Resource server 34...Client server 4...Instructor's terminal 41...Terminal body 42...Display unit 43...Input unit 5...Instructee's terminal 51...Wearable device 52...Data communication device 61...Power supply unit 62...Control unit 63...Acceleration sensor 64...Pulse sensor 65...Wireless transmission unit 71...Power supply unit 72...Control unit 73...Receiver unit 74...Transmitter unit 75...Instructee list screen 76...Goal setting icon 77...Wearer update icon 80...Setting screen for walking time by intensity 81...Target time setting unit 82...Medium intensity range setting unit 83...Graph display order setting unit 90...Setting screen for activity time of specified exercise intensity 91...Target time setting unit 92...Specified exercise intensity range setting unit 93...Graph display order setting unit 100: Setting screen for physical inactivity time during wakefulness 101: Target time setting section 102: Physical inactivity range setting section 110: Setting screen for medium intensity walking speed and stride length 111: Target speed setting section 112: Stride length setting section 120: Setting screen for wearer information 121: Height setting section

Claims (10)

A terminal for a trainee including a wearable device;
A server;
An instructor terminal having an input unit and a display unit,
The wearable device includes:
Detecting the activity intensity of the trainee;
The trainee terminal includes:
transmitting data of the activity intensity detected by the wearable device to the server;
The server,
Receiving the activity intensity data transmitted from the trainee terminal;
storing the received activity intensity data for each of the trainees;
For the trainee designated by an input operation through the input unit, based on the stored data of the activity intensity, generate time data of the time during which the trainee performed an activity at a designated activity intensity, which is an activity intensity within an intensity range designated by the input operation, during a period designated by the input operation;
outputting the time data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the time data for the trainee designated by the input operation;
and setting a lower limit value and an upper limit value of the designated activity intensity for each of the trainees based on the input operation.
A rehabilitation instruction support system that visualizes activity levels. When the time data is medium intensity time data,
The server,
generating low intensity time data, which is time data during which an activity was performed at an activity intensity below the lower limit value, and high intensity time data, which is time data during which an activity was performed at an activity intensity exceeding the upper limit value, based on the stored activity intensity data;
outputting the medium intensity time data, the low intensity time data, and the high intensity time data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the medium intensity time data, the low intensity time data, and the high intensity time data for the trainee designated by the input operation.
A rehabilitation instruction support system using activity visualization according to claim 1. The server,
Obtaining weather information data for the period;
outputting the weather information data to be displayed on the display unit;
The instructor terminal includes:
and displaying the weather information data together with the time data on the display unit.
3. A rehabilitation instruction support system using activity visualization according to claim 1 or 2. The activity intensity is walking intensity,
The designated activity intensity is a designated walking intensity,
The time data is time data for walking at the specified walking intensity.
A rehabilitation instruction support system using activity visualization according to claim 1. The activity intensity is any activity intensity including walking intensity,
The time data is all activity time data including walking.
A rehabilitation instruction support system using activity visualization according to claim 1. The wearable device includes:
Detecting the wakefulness of the trainee;
The trainee terminal includes:
transmitting data of the wakefulness state detected by the wearable device to the server;
The server,
For the trainee designated by the input operation, generating inactivity time data during wakefulness during which the trainee performed an activity at an inactivity intensity that is equal to or less than the threshold value designated by the input operation during the period based on the stored activity intensity data and the wakefulness state data;
outputting the inactivity time data to be displayed on the display unit;
The instructor terminal includes:
displaying the inactivity time data on the display unit for the trainee designated by the input operation;
and setting the threshold value for each of the trainees based on the input operation.
A rehabilitation instruction support system using activity visualization according to claim 1. The server,
generating walking speed data for the trainee designated by the input operation based on the stored walking intensity data when the trainee walks at the designated walking intensity during a period designated by the input operation;
outputting the walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the walking speed data for the trainee designated by the input operation;
The rehabilitation instruction support system by visualization of activity amount according to claim 4. When the walking speed data is medium intensity walking speed data,
The server,
generating low-intensity walking speed data, which is time data during the period during which walking was performed at a walking intensity lower than the lower limit, based on the stored walking intensity data;
outputting the medium intensity walking speed data and the low intensity walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the medium intensity walking speed data and the low intensity walking speed data for the trainee designated by the input operation;
The rehabilitation instruction support system by visualization of activity amount according to claim 7. The instructor terminal includes:
Setting step length data of the trainee at the designated walking intensity for each trainee based on the input operation;
The wearable device includes:
Detecting step count data of the trainee;
The trainee terminal includes:
transmitting the step count data detected by the wearable device to the server;
The server,
generating walking speed data for the trainee designated by the input operation when the trainee walked at the designated walking intensity during the period based on the stored walking intensity data, the step count data, and the stride length data;
The rehabilitation instruction support system by visualization of activity amount according to claim 7. A terminal for a trainee including a wearable device;
A server;
An instructor terminal having an input unit and a display unit,
The wearable device includes:
Detecting the walking intensity of the trainee;
The trainee terminal includes:
transmitting data of the walking intensity detected by the wearable device to the server;
The server,
receiving the walking intensity data transmitted from the trainee terminal;
storing the received walking intensity data for each of the trainees;
generating walking speed data for the trainee designated by an input operation through the input unit, based on the stored walking intensity data, when the trainee walks at a designated walking intensity, which is within an intensity range designated by the input operation, during a period designated by the input operation;
outputting the walking speed data to be displayed on the display unit;
The instructor terminal includes:
displaying, on the display unit, the walking speed data for the trainee designated by the input operation;
and setting a lower limit value and an upper limit value of the designated walking intensity for each of the trainees based on the input operation.
A rehabilitation instruction support system that visualizes activity levels.

Images