JP4497966B2 - Equipment control system - Google Patents

Description

  The present invention relates to a device control system that controls a state of a device to be used based on life information of a plurality of clients.

  Prior art documents related to a system that operates a device used by the client, for example, a bed, an air conditioner, a lighting device, etc. in an optimum state based on life information for each client, particularly sleep stage information, include the following. .

JP 2003-339664 A

  The technique disclosed in Patent Literature 1 uses biological information obtained without restriction, and is based on the six stages of sleep, which is an international standard. A method for accurately estimating in real time with a scale, and a device using the method, which is a nominal measure of a client's individual sleep stage based on biological heart rate variability information and body movement information measured by an unconstrained biological sensor It is characterized by identifying with.

  An outline of various biometric information of the client individual that can be detected by the technique disclosed in the sleep stage estimation means 19 of Patent Document 1 will be described with reference to FIGS. 2 and 1. Pressure fluctuation of the air mattress 1 where the client 3 goes to bed is detected by the unconstrained sensor means 4, and heartbeat, breathing, and snoring are extracted via the filter means 5.

  The body movement information obtained by the image processing means 11 for inputting the biological information and the image signal of the infrared camera 10 is input to the sleep stage estimation calculating means indicated by the dotted line block 9, and is subjected to signal processing for heart rate information Ib, continuous Sleep stage information Sc, 6-stage sleep information Sa based on a nominal scale, body movement information Im, snoring information Is, and respiratory information Ir are obtained. Since the signal processing algorithm is described in detail in Patent Document 1, the description thereof is omitted here.

  The biometric information obtained from the sleep stage estimation calculation means 9 is held in the memory holding means 18 and uses the general information Si to monitor the individual status of the client, record data, emergency call, and device control for maintaining a comfortable environment. Etc. Patent Document 1 discloses examples of various device controls.

The conventional device control system has the following problems.
(1) The control corresponding to the sleep stage at that time can be performed. For example, it is possible to change the brightness of the lighting fixture, the volume of the audio equipment, and the set temperature of the heating appliance corresponding to the sleep stage 1: 1, but various controls according to the transition state of the sleep stage up to that point Is impossible.

(2) In the conventional system, until reaching a certain depth of sleep, it is possible to dimm the lighting 1: 1 corresponding to the sleep stage, reduce the volume of the audio equipment, and lower the set temperature of the heater, Once the depth of sleep is reached, it is impossible to turn off the lights, turn off the audio equipment, or turn off the heating regardless of the sleep stage. That is, it is impossible to designate a plurality of different controls based on the transition data so far for one sleep stage.
(3) The conventional system is control based on the individual sleep stage of the client. Therefore, when a plurality of people sleep in the same room, there is only a method of controlling devices commonly used by people in the same room based on the sleep stage of a specific person. Therefore, it was not always optimal control except for the specific person.

(4) When multiple people live in the same room, not all of them wake up at the same time. Others are sleeping, but only one person may work or read. In that case, you must be careful not to disturb the behavior of the person who is working, reading, or waking up. It may also be necessary to prioritize the sleep stage of the sick or elderly.

  Accordingly, the problem to be solved by the present invention is to realize a device control system that enables various state control of devices used based on life data transition data of a plurality of clients.

In order to achieve such an object, the configuration of the present invention is as follows.
(1) In a device control system for controlling the state of a device to be used based on sleep stage information of a plurality of clients,
A sleep stage synthesis means for synthesizing life information of the plurality of clients;
Based on the control stage output means for updating the control stage of the device when the transition data of the sleep stage satisfies a predetermined update factor condition, the output of the control stage output means and the information of the sleep stage synthesis means Operating means for adjusting the device to a state set in its control stage,
Transition data of the sleep stage, the sleep cycle number count value, the specified sleep stage count, at least one of the sleep evaluation index calculation value, a sleep cycle number count value,
The update factor of the transition data is at least the sleep among the arrival of the specified number of sleep cycles, the specified number of sleep stages or the specified number of sleep states, and the specified value of the sleep evaluation index calculation value. Reaching the specified number of cycles ,
When the polarity of the difference in the sleep stage is the same polarity multiple times in succession, sleep is regarded as a change in the polarity direction, and the number of sleep cycles for each individual is counted based on the number of inversions of the polarity direction. A characteristic device control system.

( 2 ) In the case where priority is given to a person who is awake among a plurality of clients, the sleep stage synthesis means selects and synthesizes the sleep stage information of the person who is awake and The device control system according to (1) , wherein the sleep stage information of all members is synthesized.

( 3 ) The device control system according to (1) or (2) , wherein the sleep evaluation index calculation value is given as a function value having the sleep stage for each individual as a variable.

( 4 ) The device control system according to (3) , wherein a time integration value using the individual sleep stage as a variable is calculated as the function value.

( 5 ) The device control system according to (3) , wherein a time differential value using the individual sleep stage as a variable is calculated as the function value.

( 6 ) The device control system according to (3) , wherein the function value is a variable of the number of individual sleep cycles .

(1) Diversity: In order to improve the comfort and energy saving as a whole, the sleep stages as a whole are synthesized and controlled based on the sleep stages of the clients in the same room. In addition to the control corresponding to the sleep stage at that time, various device controls can be performed according to the transition of the sleep stage up to that point.

(2) Comfort: It is common to go to sleep with bright lighting and TV / radio. For this reason, waking up and sleeping again during sleep may prevent deep sleep. In addition, there is a case where the patient cannot sleep well because he / she sleeps in an environment that is difficult to sleep until he / she wakes up in the morning.

  By using the present invention, even if you go to sleep with the light turned on or with the TV / radio turned on, you can turn off the light automatically when you go to sleep deeply, and you can turn off the TV / radio. Can take a good sleep and contribute to the improvement of overall comfort.

(3) Energy saving: If you use a heater (air conditioner, electric blanket) with this invention, even if you go to sleep while it is heated, it will automatically turn off the heater when you are deeply asleep. Can save energy. In this case, since a considerable part can be used in common rather than individually controlling, the cost can be reduced.

  Hereinafter, the present invention will be described in detail with reference to the drawings. A part of FIG. 1 and FIG. 2 is a functional block diagram showing an embodiment of a device control system to which the present invention is applied. In the present invention, the life information of the client includes biometric information Si including 6-stage sleep information and continuous sleep stage information provided from the memory holding means 18 of the sleep stage estimation means 19 described in FIG. 2, and block 100 in FIG. And state information F1 from the state detection means indicated by block 200 in FIG. Prior to the description of the main part, an outline of the state detection means 100 and 200 will be described.

  The state detection means 100 is intended to detect the state of the entire room where a plurality of clients live. 101 is an absent / occupied room detecting means, which is in an absent room (no one in the room) or vice versa (there is one or more people in the room) due to the movement of a plurality of clients from the image processing means 11. An absent room signal is output.

  The state detection means 200 is intended to detect the state of each individual client. Reference numeral 201 denotes a bed / bed detection unit that detects bed / bed from the heart rate information from the filter unit 5. Reference numeral 202 denotes a continuous hitting sound (striking bed) detecting means for judging and outputting a continuous hitting sound from a hitting sound signal obtained from the filter 5.

  The continuous hitting sound is used as a requesting means for performing operations such as turning on lighting or turning on the heating by the client's own intention after the client wakes up and leaves the floor.

  FIG. 3 is a functional block diagram showing a configuration example of the absent / occupied room detecting means 101, and FIG. 4 is a waveform diagram for explaining the operation. The analog signal that has detected the movement of the client is compared by a motion detection unit having a threshold value to become a motion detection signal pulse, which triggers a retriggerable mono multi. If the trigger interval is less than the set time τ, the Q output of the retriggerable mono multi is H, and if the trigger interval is greater than the set time τ, the retriggerable mono multi is inverted and the Q bar (Q inverted output) ) The output becomes H, and the absence room output.

  FIG. 5 is a functional block diagram showing an example of the configuration of the bed / bed presence detection means 201, and FIG. 6 is a waveform diagram for explaining the operation. An analog signal indicating a heartbeat is compared by a heartbeat detection unit having a threshold value to form a heartbeat detection signal pulse, which triggers a retriggerable mono multi. If the trigger interval is less than the set time τ, the Q output of the retriggerable mono multi is H, and if the trigger interval is greater than the set time τ, the retriggerable mono multi is inverted and the Q bar output is H. Get out of bed.

  FIG. 7 is a functional block diagram showing a configuration example of the continuous hitting sound detecting means 202, and FIG. 8 is a waveform diagram for explaining the operation. An analog signal indicating a hitting sound is compared by a hitting sound detection unit having a threshold value, and becomes a hitting sound detection signal pulse. The flip-flop FF1 is set to start operation, and a timer is started and counted by a counter.

  When the counter counts a predetermined number of pulses within the operation time of the timer, the flip-flop FF2 is inverted by this counter output and outputs a continuous hitting sound detection signal. When the timer counts up, the flip-flop FF1 is reset and the timer returns to the initial state.

  The routine starts when the next hitting sound is generated, but this continuous hitting sound output does not change when there is no predetermined number of count outputs within the timer count-up. Therefore, once the continuous hitting sound detection signal is output, the state continues, so that a delay circuit is provided so that the entire detection means is reset when a predetermined time has elapsed and when a bed is left.

  FIG. 9 is a functional block diagram showing another configuration example of the continuous hitting sound detecting means 202, and FIG. 10 is a flowchart showing a signal processing procedure. In the configuration of FIG. 7, it is determined that the hitting sound is repeated when a predetermined number of pulses are counted within the set time of the timer. However, in the configuration of FIG. The minimum is monitored, and the hitting sound that matches the predetermined condition is set as the continuous hitting sound.

  When the hitting detection unit receives a hitting signal exceeding a certain threshold, it outputs a hitting detection signal. When receiving a single sound detection signal, the periodic continuous sound detection unit measures whether or not the next sound detection signal is within a time range longer than Tmin and shorter than Tmax. In this case, it is further measured whether or not the next hitting sound detection signal is within a time range longer than Tmin and shorter than Tmax.

  After receiving one hitting detection signal and repeating the next hitting detection signal within a time range longer than Tmin and shorter than Tmax N times, it is determined that a periodic hitting sound has been detected and is periodically Outputs a continuous hit detection signal.

  If a next sound detection signal is received before Tmin or after Tmax after receiving one sound detection signal, the continuous sound detection operation is reset and started. When the periodic hitting sound detection signal is output, the subsequent flip-flop is set at the rising edge thereof, and the hitting sound detection signal becomes H (“continuous hitting detection”).

  The flip-flop is reset when the client leaves the floor, and the continuous hit detection signal becomes L. When there is no bed after the continuous hitting sound detection signal becomes H, the flip-flop is reset after a certain period of time by the output signal of the delay circuit, and the continuous hitting sound detection signal becomes L.

  The information on the absent / in-room, out-of-room / at-bed, and continuous hitting sound of the client obtained by the state detection means 100 and 200 described above is used as the state information F1 in the device control system of the present invention. Hereinafter, the main part of the device control system of the present invention will be described with reference to FIG.

  In FIG. 1, a region indicated by a dotted block R represents a multi-client environment (room where people live). In this example, three people, Mr. A, Mr. B, and Mr. C, are clients. 19a, 19b and 19c are sleep stage estimation means for individually detecting the biometric information Si of Mr. A, Mr. B and Mr. C.

  Reference numerals 200a, 200b, and 200c denote state detecting means for individually detecting Mr. A, Mr. B, and Mr. C's getting out of bed and continuous hitting sounds. The respective living body information Si, bed leaving, continuous hitting sound information, and common absent room information from 101 are output information from the plurality of client environments R.

  The device control system of the present invention comprises a control stage output means 300, an operation means 400, a control target device 500, and a sleep stage synthesis means 600 as large functional blocks.

  When the life information of the client, that is, biometric information Si (six-stage sleep information Sa or continuous sleep stage (hereinafter referred to as sleep state) information Sc) and transition data of the state information F1 satisfy the predetermined condition, One of a plurality of control stages is determined, and the control stage is updated when the data specified in the stage is satisfied due to data transition.

  Based on the determined control stage information, the operation unit 400 adjusts the operation state of the used device 500 in order to provide the client with an optimal living environment at the control stage.

  The sleep stage synthesizing unit 600 synthesizes and calculates the sleep stages of a plurality of clients based on the biometric information Si of each client, the absence room, and the bed leaving information F1, and gives the synthetic sleep stage information Sg to the operation unit 400 as a measurement value.

  In the control stage output means 300, 301 is an initialization signal creating means, and the individual biometric information Si inputted from the sleep stage estimation means 19a to 19c and the state information F1 obtained by the state detection means 200 are used for each individual. The initialization signal Rs is generated by inputting the bed leaving information and the entire absent room information.

  FIG. 11 is a functional block diagram showing a configuration example of the initialization signal generating means, and FIG. 12 is a waveform diagram for explaining the operation. When each client's wakefulness information or getting-off information generated by the wakefulness detection means based on the biological information Si is generated in all clients, a timer is started via the AND gate and OR gate, and any signal continues after the time is up. When the initialization signal Rs is generated, the initialization signal Rs is generated. Even in the absence room information, a timer is activated via the OR gate to generate an initialization signal Rs.

  The initialization signal Rs resets the sleep cycle number counting means 302, the designated sleep stage counting means 303, and the sleep evaluation index calculating means 304, and resets the control stage information counter 307 that outputs the control stage information Mi.

  The biological information Si is input to the sleep cycle number counting unit 302, the designated sleep stage counting unit 303, and the sleep evaluation index calculating unit 304, and the transition data of the life information of a plurality of clients is counted or calculated by three categories.

  FIG. 13 is a functional block diagram illustrating a configuration example of the sleep cycle number counting unit 302, which includes a plurality of individual sleep cycle number counting units and a selection calculation output unit, and the number of repetitions of changes in sleep stages or sleep states. Count.

The following function k (A, B, C) is designated as the selection calculation designation information ha (2). (Example of A, B, and C)
(1) Average value of outputs A to C of each individual sleep cycle number counting means k (A, B, C) = (A + B + C) / 3
(2) Weighted average values of outputs A to C of each individual sleep cycle number counting means k (A, B, C) = (α · A + β · B + γ · C) / (α + β + γ)
(3) Maximum value among outputs A to C of each individual sleep cycle number counting means k (A, B, C) = Max (A, B, C)
(4) The minimum value k (A, B, C) = Min (A, B, C) among the outputs A to C of the individual sleep cycle number counting means
Or
(5) Output value of specific personal sleep cycle number counting means k (A, B, C) = A or B or C

  The personal sleep cycle number counting means counts the number of repetitions of changes in the biological information Si. The count value is reset by the initialization signal Rs or the control stage update signal Mc. FIG. 14 is a functional block diagram showing a configuration example of the personal sleep cycle number counting means, and FIG. 15 is a waveform diagram for explaining the operation thereof.

The numerical values are associated with each sleep stage as follows.
Awakening: 5
REM: 4
Non-REM 1: 3
Non-rem 2: 2
Non-REM 3: 1
Non REM 4: 0

The sleep stage difference calculation means samples the sleep stage at a certain period,
(Value corresponding to the current sleep stage)-(value corresponding to the previous sleep stage)
And outputs the result for a certain period of time.

The figure shows an example where sleep is deepened first. The sleep stage transitions from NREM 1 to NREM 2. At the sampling time immediately after the transition,
(Value 2 corresponding to non-rem 2) − (value 3 corresponding to non-rem 1) = − 1
Thus, the sleep stage difference calculating means outputs −1 for a certain time.

  When the polarity discriminating means receives −1 as an input, the −polarity output becomes H. -When the polarity output goes high, reset the flip-flop. In this example, since the flip-flop and the counter are already reset by the initialization signal + control stage update signal, the sleep cycle count value is 0.

  Similarly, at the sampling time immediately after the transition from the next non-rem 2 to the non-rem 3 and the sampling time immediately after the next transition from the non-rem 3 to the non-rem 4, the sleep stage difference is −1 and the −polarity output is H. .

In the next stage, we go in the direction that sleep becomes shallow. At the sampling time immediately after the transition from Non-REM 4 to Non-REM 3,
(Value 1 corresponding to non-rem 3)-(value 0 corresponding to non-rem 4) = 1
Thus, the sleep stage difference calculating means outputs +1 for a certain time.

  When the polarity discriminating means receives +1 as an input, the + polarity output becomes H. When the + polarity output goes high, the flip-flop is set and its Q bar output goes low. Similarly, the sleep stage difference becomes +1 and the + polarity output becomes H even at the sampling time immediately after the transition from the next non-rem 3 to non-rem 2 to non-rem 1 to REM.

After that, it goes in the direction of deep sleep again. At the sampling time immediately after the transition from REM to non-REM 1,
(Value 3 corresponding to non-rem 1) − (value 4 corresponding to REM) = − 1
Thus, the sleep stage difference calculating means outputs −1 for a certain time.

  When the polarity discriminating means receives −1 as an input, the −polarity output becomes H. -When the polarity output goes high, reset the flip-flop. The content of the counter is incremented by 1 at the rising edge of the Q-bar output of the flip-flop to become +1. That is, the sleep cycle count value is 1.

  FIG. 16 is a functional block diagram showing another configuration example of the personal sleep cycle number counting means, and FIG. 17 is a waveform diagram for explaining the operation thereof.

  The criteria for judging that the sleep has changed from the direction of deep sleep to the direction of shallow sleep, and that the sleep has changed from the direction of deep sleep to the direction of shallow sleep is based on sleep in the direction opposite to the previous sleep direction. The transition of the stage is continuous twice or more.

  The only difference from the configuration example of FIG. 14 is that the determination criteria are different. In the configuration of FIG. 14, the judgment criterion is that the transition of the sleep stage in the opposite direction to the previous sleep direction is only once, and there is a possibility of malfunction due to noise, so the transition continues two or more times. This is a requirement. Other configurations and operations are the same as those in FIG.

  16 is different from FIG. 14 in that a counter (+), a counter (−), and an OR gate for each reset input are added between the polarity discriminating means and the flip-flop. In the illustrated example, when two pulses are input to the trigger input terminal of each counter, each Q output becomes H.

  After a single pulse is input to the trigger input terminal of the counter, if the transition of the sleep stage in the opposite direction occurs, the counter is reset. Therefore, in order for the Q output of each counter to become H, the (+) polarity output or the (−) polarity output of the polarity discriminating means must be continuously output twice.

  The designated sleep stage counting means 303 inputs the biological information Si, the absent room, the bed leaving, and the continuous hitting sound detection signal, and the sleep stage, sleep state, absent room, bed leaving or the consecutive hit sound designated by the control stage designation information ha (1). The number of times of arrival at the detection is counted and reset by a control stage update signal Mc or an initialization signal Rs described later.

  FIG. 18 is a functional block diagram showing a configuration example of the designated sleep stage counting means 302, which is composed of a plurality of individual designated sleep stage number means and selection calculation output means, and reaches the designated sleep stage or sleep state. Count the number of times.

The following function k (A, B, C) is designated as the selection calculation designation information ha (2). (Example of A, B, and C)
(1) Average value of outputs A to C of each individual designated sleep stage counting means k (A, B, C) = (A + B + C) / 3
(2) Weighted average value of outputs A to C of each individual designated sleep stage counting means k (A, B, C) = (α · A + β · B + γ · C) / (α + β + γ)
(3) Maximum value among outputs A to C of each individual designated sleep stage counting means k (A, B, C) = Max (A, B, C)
(4) Minimum value among outputs A to C of each individual designated sleep stage counting means k (A, B, C) = Min (A, B, C)
Or
(5) Output value of specific personal designated sleep stage counting means k (A, B, C) = A or B or C

  FIG. 19 is a functional block diagram showing a configuration example of the personal designated sleep stage counting means. The sleep stage information Sa or absent room or bed leaving or continuous hitting sound detection and the designated sleep stage ha (1) are collated by the condition match detection means. If the condition is met, the designated sleep stage count counter is incremented by +1, and the designated sleep stage count is calculated. Output.

  The sleep evaluation index calculating means 304 receives the biological information Si, calculates a sleep evaluation index value by executing a function calculation using Si as a variable based on the evaluation function specified by the control stage specification information ha, and performs control. It is reset by the stage update signal Mc or the initialization signal Rs.

  FIG. 20 is a functional block diagram illustrating a configuration example of the sleep evaluation index calculation unit 304, which includes a plurality of individual sleep evaluation index calculation units and a selection calculation output unit, and is designated by the selection calculation designation information ha (2). It calculates based on the evaluation function.

The following function k (A, B, C) is designated as the selection calculation designation information ha (2). (Example of A, B, and C)
(1) Average value of output of each individual sleep evaluation index calculation means k (A, B, C) = (A + B + C) / 3
(2) Weighted average value of output of each individual sleep evaluation index calculating means k (A, B, C) = (α · A + β · B + γ · C) / (α + β + γ)
(3) The maximum value of the outputs of the individual sleep evaluation index calculation means k (A, B, C) = Max (A, B, C)
(4) The minimum value of the outputs of the individual sleep evaluation index calculation means k (A, B, C) = Min (A, B, C)
Or
(5) Output value of specific personal sleep evaluation index calculation means k (A, B, C) = A or B or C

  FIG. 21 is a functional block diagram showing a configuration example of the personal sleep evaluation index calculating means, and shows a case where integration is designated as the designated evaluation function ha (1). FIG. 22 is a time chart showing the result of the integral calculation, and the area shown by diagonal lines is an index value for evaluating the quality of sleep.

  Also, although not shown in the figure, by using a differential function as the designated evaluation function, when the rate of change of deep sleep falls above a certain value or below a certain value, or when the rate of change to fall asleep falls above or below a certain value It becomes possible to advance to the next control stage when the value is below the value.

  Reference numeral 308 denotes control stage designation means, which includes a control stage designation information storage unit 308a for storing control stage designation information F2 given from the outside, and a selector 308b for selecting the control stage designation information F2 at the control stage based on the control stage information Mi. Have.

  Based on the parameter designated by the control stage designation information F2 and the sleep evaluation function, the sleep cycle number counting means 302, the designated sleep stage counting means 303, and the sleep evaluation index calculating means 304 count or calculate the number of sleep cycles. The count output of the counting means 302 is given by d1, the count output of the designated sleep stage counting means 303 is given by d2, and the calculation output of the sleep evaluation index calculating means 304 is given by d3.

  When one of those count values or calculated value outputs (d1 to d3) is selected by the selector 305 based on the control stage designation information hb and the condition designated by the control stage designation information hc is met by the condition match detection means 306, A control stage update signal Mc is output.

  When the control stage update signal Mc is output, the content of the control stage information counter 307 is incremented by +1, and the control stage information signal Mi is updated. At the same time, the sleep cycle number counting means 302, the designated sleep stage counting means 303, and the sleep evaluation index calculating means 304 are reset via the OR gate 309.

  Next, the configuration of the operation unit 400 will be described. Reference numeral 401 denotes first calculation means, which calculates and outputs the set value S of the control unit 501 of the device 500. Reference numeral 402 denotes second calculation means for calculating and outputting an ON / OFF signal P1 for the power source of the control unit 501 and an ON / OFF signal P2 for the device 500 power source.

  Reference numeral 403 denotes an external setting value designation unit that stores external setting value designation information F4 and inputs the external setting value Se to the first calculation unit 401. Synthetic sleep stage information Sg generated by a sleep stage synthesizing unit 600 described later is commonly input as a measurement value for device control to the first calculation unit 401 and the second calculation unit 402.

  Reference numeral 404 denotes an operation function specifying means, which includes an operation function specifying information storage unit 404a and a selector 404b. The operation function designation information storage unit 404a stores operation function designation information F3 given from the outside, and designates an operation function to the first and second calculation means in each control stage.

  The selector 404b receives the control stage information Mi from the control stage output means 300, and supplies the first calculation means 401 and the second calculation means 402 with the operation function designation information F, G1, and G2 of the designated control stage.

  The first calculation means 401 uses an operation function corresponding to each control stage using the absent room / at-room, bed leaving / flooring, continuous hitting sound detection, sleep stage or sleep state as a variable. The set value S given to the control unit 501 of the device is adjusted with the set value from.

  Similarly, the second computing means 402 uses the operation functions corresponding to the respective control steps, which are variables such as absent / in-room, leaving / in-bed, continuous hitting sound detection, sleep phase or sleep state, and device control. An operation signal P1 or P2 for turning on / off the power of the unit 501 or the device 500 is generated.

  FIG. 23 is a table showing an example of a control stage and control stage designation information F2 and operation function designation information F3 at that stage. Example 1 has two control stages, Example 2 and Example 3 have three control stages. The case of a stage is illustrated. A specific example of F3 will be described with reference to FIG.

  Example 1 will be described. In the control stage 1, non-rem 4 is designated as the sleep stage parameter ha1 (1), the minimum value is designated as the selection calculation designation information ha1 (2), and the output of the designated sleep stage counting means 2 of 2 is designated as the selection parameter hb1. The match parameter hc1 is designated once.

  That is, even if the person who reaches the non-REM sleep 4 has reached the least number of times, the control stage update requirement is satisfied if it reaches once, the control stage update signal Mc is generated from the condition match detection means 306, and the control stage information counter 307 increments by +1. Then, the control stage transitions to 2.

  In the control stage 2, 0 is designated as the sleep evaluation function ha2 (1), the average value is designated as the selection calculation designation information ha2 (2), and the output of the sleep evaluation index calculating means 304 of 3 is designated as the selection parameter hb2. , A sufficiently large arbitrary number 100 times is designated as the match parameter hc2. In this case, since the function 0 cannot be 100, no match occurs, and the control stage continues at 2.

  In Example 2, even if the person who has the fewest sleep cycles in control stage 1 reaches 2, transition to control stage 2 and even if the person who has reached the least number of non-REM sleeps 1 reaches 2, transition to control stage 3 Since the calculation of the function 0 is performed here, the control stage 3 is subsequently continued in the same manner as in Example 1.

  In Example 3, the integration function of Si is specified as an evaluation function in the control stage 1, and when the evaluation index reaches 0.5 as an average value of each person, the transition is made to the control stage 2, where the number of times of reaching the REM sleep is Even if the number of persons reaches 1, the control stage 3 is shifted to the control stage 3 where the function 0 is calculated. Therefore, the control stage 3 is continued in the same manner as in Example 1.

  FIG. 24 shows operation function designation information F for adjusting the set value for the first calculation means 401 in the control steps 1 and 2 in the example 1 described in FIG. 23 and the power ON / OFF operation function for the second calculation means 402. It is an example of output of designation information G1 and G2.

  In the first stage shown in (A), F = 0 when the synthetic sleep stage information Sg is input in the absent room, and G = 1 and G2 are OFF, and F = 1 when getting out of bed, repeated hitting sounds, and awakening. After REM, F decreases by 0.1 in accordance with the transition of the sleep stage, thereby reducing the driving output of the device. G1 and G2 are kept ON except in the absence room.

  In the second stage shown in (B), the operation of the equipment is stopped at F = 0 except that F = 1 is obtained by the input of the bed leaving sound and the continuous hitting sound. G1 and G2 are also kept off except when they are turned on by the input of the bed leaving sound and the continuous hitting sound.

  FIG. 25 is a functional block diagram illustrating a configuration example of the sleep stage synthesis unit 600, and FIG. 26 is a flowchart illustrating a signal processing procedure. The sleep stage synthesis unit 600 includes a sleep stage synthesis unit 601, a sleep stage synthesis designation information storage unit 602, and a synthetic sleep stage register 603.

  Based on the designation information from the sleep stage designation information storage unit 602, the sleep stage synthesis unit 601 is based on the absence room as a whole, the bed / bed of each of a plurality of persons, the continuous hit sound detection, the sleep stage or the sleep state. The absence room, bed leaving / flooring, continuous hitting sound detection, sleep stage or sleep state are synthesized, and the synthesized sleep stage information Sg is held in the synthesized sleep stage register 603.

As sleep stage synthesis designation information, there are designation information on a priority mode for designating “priority / non-priority of the activity of a person who is awake” and designation information on a synthesis method.
When the priority mode is designated and there is a person who is awake, only the sleep stage of the person who is awake is selected and calculated by the designated synthesis method. When no one is awake, the sleep stages of all are selected, and the synthetic sleep stage is calculated by the designated synthesis method.
When the priority mode is not designated, the sleep stages of all are selected, and the synthetic sleep stage is calculated by the designated synthesis method.

As a synthesis method of the sleep stage, there are two methods, that is, a synthesis method in the case where there is a person who is waking up with priority mode designation and a synthesis method in other cases.
The method of synthesizing the sleep stage when there is a person waking up with priority mode designation selects only the sleep stage of the person who is awake, and the following function n1 (A, B, C) designated as the sleep stage synthesis designation function ) To calculate. (Example when A, B, and C are waking up)
(1) The average value of the values corresponding to the individual's getting up / being out of bed, detection of repeated hitting sounds, or awakening.
n1 (Si (A), Si (B), Si (C)) = {m (Si (A)) + m (Si (B)) + m (Si (C)))} / 3
(2) A weighted average value corresponding to each person's getting up / being out of bed, detection of repeated hitting sounds, or arousal.
n1 (Si (A), Si (B), Si (C)) = {α · m (Si (A)) + β · m (Si (B)) + γ · m (Si (C))} (α + β + γ)
(3) The maximum value among the values corresponding to the individual's getting up / being out of bed, detection of continuous hitting sound, or awakening.
n1 (Si (A), Si (B), Si (C)) = Max (m (Si (A)), m (Si (B)), m (Si (C)))
(4) The minimum value among the values corresponding to getting up / being out of each individual of the person who is awake, detection of continuous hitting sound, or awakening.
n1 (Si (A), Si (B), Si (C)) = Min (m (Si (A)), m (Si (B)), m (Si (C)))
Or
(5) A value corresponding to an individual waking up / being in bed, detection of continuous hitting sound, or arousal of a specific waking person.
n1 (Si (A), Si (B), Si (C)) = m (Si (A)) or m (Si (B)) or m (Si (A))
Calculated using one of the functions specified above, leaving the bed / bed, corresponding to the value closest to the calculated value, detection of continuous hitting sound or awakening (in a broad sense) synthetic sleep stage (leaving / bed) , Continuous hitting sound detection or awakening). When a person is absent, the synthetic sleep stage is also absent.
In cases other than the above, that is, when the priority mode is specified but there is no person waking up or when the priority mode is not specified, the sleep stage of all members is selected and specified as a sleep stage synthesis designation function. The function n2 (A, B, C) is used. (Example of A, B, and C)
(1) The average value of the values corresponding to each individual's bed / bed, continuous hit sound detection, sleep stage or sleep state.
n2 (Si (A), Si (B), Si (C)) = {m (Si (A)) + m (Si (B)) + m (Si (C)))} / 3
(2) Weighted average value corresponding to each individual's bed / bed, continuous sound detection, sleep stage or sleep state.
n2 (Si (A), Si (B), Si (C)) = {α · m (Si (A)) + β · m (Si (B)) + γ · m (Si (C))} (α + β + γ)
(3) The maximum value among values corresponding to each person's bed / bed, continuous hit sound detection, sleep stage or sleep state.
n2 (Si (A), Si (B), Si (C)) = Max (m (Si (A)), m (Si (B)), m (Si (C)))
(4) The minimum value among the values corresponding to each person's bed / bed, continuous hit sound detection, sleep stage or sleep state.
n2 (Si (A), Si (B), Si (C)) = Min (m (Si (A)), m (Si (B)), m (Si (C)))
Or
(5) A value corresponding to a specific person's bed leaving / floating, continuous hitting sound detection, sleep stage or sleep state.
n2 (Si (A), Si (B), Si (C)) = m (Si (A)) or m (Si (B)) or m (Si (A))
Calculated using one of the functions specified above, the bed / bed presence corresponding to the value closest to the calculated value, continuous beat detection, sleep stage or sleep state (in a broad sense) synthetic sleep stage ( Bed leaving / flooring, continuous hitting sound detection, sleep stage or sleep state). When a person is absent, the synthetic sleep stage is also absent.

  FIG. 27 is a time chart showing a composite example of sleep stages of a plurality of clients (Mr. A and Mr. B), who give priority to the activity of a person who is awake (wakes up) and sleep stages of a shallow person FIG. 5 shows the synthesis result when the average value is selected by prioritizing the activity of the person who has been selected and the activity of the person who is waking up (awake).

(1) An example of giving priority to the activity of a person who is awake (awake) and selecting the sleep stage of a sleepy person as a synthetic sleep stage:
When only Mr. A (lower solid line) is in the room, Mr. A's individual sleep stage becomes the synthetic sleep stage (upper solid line). After Mr. B (short dotted line) has entered the room, the sleep stage of a sleepless person becomes the synthetic sleep stage.

(2) An example in which the activity of a person who is awake (awake) is prioritized and the average value of the sleep stages of Mr. A and Mr. B is the synthetic sleep stage:
When only Mr. A (lower solid line) is in the room, Mr. A's individual sleep stage becomes the synthetic sleep stage (upper solid line).

  After Mr. B (short dotted line) enters the room, the average value of the sleep stages of Mr. A and Mr. B becomes the synthetic sleep stage. However, when one of Mr. A and Mr. B is in awakening, continuous hitting sound detection, or getting out of bed, that state is prioritized and the synthetic sleep stage is entered. At that time, the sleep stages of the rest are not reflected.

  In the embodiment described above, as the sleep stage Sa obtained from the sleep stage estimation means 19, the six stages of wakefulness, REM, non-rem 1, non-rem 2, non-rem 3, and non-rem 4 that are identified nominally are used. Yes.

However, depending on the device to be controlled, fine classification up to the above six steps is unnecessary, and the following rough classification may be sufficient.
Coarse classification example 1:
(1) Awakening (2) REM
(3) Non-REM 1 + Non-REM 2
(4) Non-REM 3 + Non-REM 4

Coarse classification example 2:
(1) Awakening (2) REM
(3) Non-REM 1-4

Coarse classification example 3:
(1) Awakening (2) REM + non-rem 1-4

  In the present invention, not only sleep stage information Sa but also sleep state information Sc given as a continuous signal is targeted as biological information Si. The sleep state information Sc can be obtained with higher accuracy than the dynamic model 12 of the sleep stage estimation calculation unit 9 that inputs the heart rate Ib, but a configuration in which the sleep state information Sc is detected more simply is also possible.

  When controlling a device in response to sleep, even if it does not detect and estimate in detail until the sleep stage, it is currently in a certain sleep stage (wakefulness, light sleep or deep sleep), or sleep is becoming deeper It may be sufficient to know whether the sleep direction is getting shallower or the direction of the sleep. Here, it is referred to as “sleep state”.

  It is relatively easy to detect a sleep state. There is a correlation between the depth of sleep and the heart rate, and the heart rate decreases as the sleep becomes deeper, and conversely, the heart rate increases as the sleep becomes shallower. Therefore, a sleep state can be detected only by heart rate information.

Examples of the sleep state classification are as follows.
(1) Awakening or light sleep
(2) Sleeping state D getting deeper
(3) Deep sleep state S
(4) Sleeping condition I getting shallow

  28 and 29 are a functional block diagram and a waveform diagram for extracting the sleep states W, D, S, and I based on heart rate information. The heart rate is counted by the heart rate counting means to become a heart rate signal, and converted into a difference value by the difference calculating means. This difference value represents the direction in which the sleep becomes deeper on the negative side and the direction in which the sleep becomes shallower on the positive side.

  This difference value is converted into a moving average signal by the moving average calculation means, and is converted into a pulse signal representing the direction D in which sleep is deep and the direction I in which sleep is shallow by the positive and negative level detection means.

  Since the flip-flop is set at the rising edge of the pulse D and the flip-flop is reset at the rising edge of the pulse I, the Q output and Q bar output of the flip-flop are the waveform diagrams (G) and (I) of FIG. . The gate 1 is a NOR gate that inputs D and I, and its output is (F), indicating a stationary state in which D and I do not change.

  The AND gate 2 receives the output of the NOR gate 1 and the Q output of the flip-flop, and the output is indicated by (H) and represents a deep sleep S. The AND gate 3 receives the output of the NOR gate 1 and the Q-bar output of the flip-flop, and the output is indicated by (J) and represents the awakening or the light sleep W.

  In the embodiment shown in FIG. 1, only one device 500 and control unit 501 are described for the sake of simplicity. However, not only a single device but also a plurality of devices can be controlled. In that case, the first calculation means for setting values and the second calculation means for power ON / OFF are required for the number of devices at the maximum.

  Further, the operation function designation information stored in the operation function designation information storage unit 404a is also required for the maximum number of devices at each control stage. Also, the external set value specifying means 403 and the external set value specifying information F4 are required for the number of devices at the maximum.

  A connection form between the first and second calculation means 401 and 402, the device 500, and the control unit 501 thereof may be a direct connection or a wireless connection form. Also, there is a connection form in which the outputs of a plurality of computing means are connected to a wired LAN or a wireless LAN via a transmission interface, and a set value and a power ON / OFF signal are received by a reception interface on the device side and given to the device and its control unit. Is possible.

It is a functional block diagram which shows one Embodiment of the apparatus control system to which this invention is applied. It is a functional block diagram of the sleep stage estimation means and state detection means which identify the stage of sleep with a nominal scale currently disclosed by patent document 1. FIG. It is a functional block diagram which shows the structural example of an absent room / occupancy detection means. It is a wave form diagram explaining the operation | movement of FIG. It is a functional block diagram which shows the structural example of a bed leaving / bed presence detection means. FIG. 6 is a waveform diagram for explaining the operation of FIG. 5. It is a functional block diagram which shows the structural example of a continuous hitting sound detection means. It is a wave form diagram explaining the operation | movement of FIG. It is a functional block diagram which shows the other structural example of a continuous hitting sound detection means. 10 is a flowchart showing a signal processing procedure of FIG. 9. It is a functional block diagram which shows the structural example of an initialization signal preparation means. It is a wave form diagram explaining the operation | movement of FIG. It is a functional block diagram which shows the structural example of a sleep cycle frequency count means. It is a functional block diagram which shows the structural example of a personal sleep cycle frequency count means. It is a wave form diagram explaining the operation | movement of FIG. It is a functional block diagram which shows the other structural example of a personal sleep cycle frequency count means. It is a wave form diagram explaining the operation | movement of FIG. It is a functional block diagram which shows the structural example of a designated sleep stage counting means. It is a functional block diagram which shows the structural example of a personal designation | designated sleep stage counting means. It is a functional block diagram which shows the structural example of a sleep evaluation index calculation means. It is a functional block diagram which shows the structural example of a personal sleep evaluation index calculation means. It is a time chart explaining the operation | movement of FIG. It is a table which shows the example of control stage designation information. It is an output example of operation function specification information. It is a functional block diagram which shows the structural example of a sleep stage synthetic | combination means. It is a flowchart which shows the signal processing procedure of FIG. It is a time chart which shows the example of a synthesis | combination of the sleep stage of several clients. It is a functional block diagram which shows the structural example of a sleep state detection means. It is a wave form diagram explaining the operation | movement of FIG.

Explanation of symbols

3 Client 19 Sleep stage estimation means 100 State detection means (whole)
101 Absence room / occupancy detection means 200 Status detection means (by individual)
201 bed leaving / bed presence detection means 202 continuous hitting sound detection means 300 control stage output means 301 initialization signal creation means 302 sleep cycle number counting means 303 designated sleep stage count means 304 sleep evaluation index calculation means 305 selector 306 condition matching detection means 307 control Stage information counter 308 Control stage designation means 308a Control stage designation information storage section 308b Selector 309 OR gate 400 Operation means 401 First computation means 402 Second computation means 403 External set value designation means 404 Operation function designation means 404a Operation function designation information storage Unit 404b selector 500 device 501 control unit 600 sleep stage synthesis means 601 sleep stage synthesis unit 602 sleep stage synthesis designation information storage unit 603 synthetic sleep stage register Si biological information Sg synthetic sleep stage information F1 state information F2 Control stage designation information F3 Operation function designation information F4 External set value designation information

Claims (6)

In the device control system that controls the state of the device to be used based on the sleep stage information of multiple clients,
A sleep stage synthesis means for synthesizing life information of the plurality of clients;
Based on the control stage output means for updating the control stage of the device when the transition data of the sleep stage satisfies a predetermined update factor condition, the output of the control stage output means and the information of the sleep stage synthesis means Operating means for adjusting the device to a state set in its control stage,
Transition data of the sleep stage, the sleep cycle number count value, the specified sleep stage count, at least one of the sleep evaluation index calculation value, a sleep cycle number count value,
The update factor of the transition data is at least the sleep among the arrival of the specified number of sleep cycles, the specified number of sleep stages or the specified number of sleep states, and the specified value of the sleep evaluation index calculation value. Reaching the specified number of cycles ,
When the polarity of the difference in the sleep stage is the same polarity multiple times in succession, sleep is regarded as a change in the polarity direction, and the number of sleep cycles for each individual is counted based on the number of inversions of the polarity direction. A characteristic device control system. The sleep stage synthesizing means selects and synthesizes the sleep stage information of the person who is awake when giving priority to the person who is awake among a plurality of clients. The apparatus control system according to claim 1, wherein sleep stage information is synthesized. The apparatus control system according to claim 1, wherein the sleep evaluation index calculation value is given as a function value having the sleep stage for each individual as a variable. The apparatus control system according to claim 3, wherein a time integration value using the individual sleep stage as a variable is calculated as the function value. 4. The apparatus control system according to claim 3, wherein a time differential value having the individual sleep stage as a variable is calculated as the function value. The device control system according to claim 3, wherein the function value is a variable of the number of individual sleep cycles.

Images