JP7797167B2 - Electrocardiogram analyzer - Google Patents

Description

Article 30, Paragraph 2 of the Patent Act applies (1) Distribution date: February 5, 2021 Distribution location: Document management system within Fukuda Denshi Co., Ltd. (The system is only accessible to related parties, but after the distribution date, it has become possible to distribute to third parties through related parties who have access to the system) Distributor: Fukuda Denshi Co., Ltd. Content of the item distributed: PDF data file of the catalog for the product (SCM-9000) invented by Fujiwara Hiroki and equipped with a three-dimensional graph display function for long-term electrocardiograms (2) Sale date: March 26, 2021 Sale location: Fukuda Denshi Hiroshima Sales Co., Ltd. Distributor: Fukuda Denshi Co., Ltd. Content of the item sold: Fukuda Denshi Co., Ltd. sold the product (SCM-9000) invented by Fujiwara Hiroki and equipped with a three-dimensional graph display function for long-term electrocardiograms to Fukuda Denshi Hiroshima Sales Co., Ltd. (3) Date of sale: March 29, 2021 Place of sale: Matsuyoshi Medical Instruments Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold to Matsuyoshi Medical Instruments Co., Ltd. a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki. (4) Date of sale: March 30, 2021 Place of sale: Fukuda Denshi Minami Tohoku Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold to Fukuda Denshi Minami Tohoku Sales Co., Ltd. a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki. (5) Date of sale: March 31, 2021 Place of sale: Fukuda Denshi Minami Tohoku Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Minami Tohoku Sales Co., Ltd. (6) Date of sale: March 31, 2021 Place of sale: Fukuda Denshi Minami Kanto Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Minami Kanto Sales Co., Ltd.

Article 30, paragraph 2 of the Patent Act applies (7) Date of sale: May 21, 2021 Place of sale: Fukuda Denshi Minami Kanto Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Minami Kanto Sales Co., Ltd. (8) Date of sale: June 24, 2021 Place of sale: Fukuda Denshi Seibu Minami Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Seibu Minami Sales Co., Ltd. (9) Date of sale: July 20, 2021 Place of sale: Fukuda Denshi Nishi Kanto Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Nishi Kanto Sales Co., Ltd. (10) Date of sale: July 28, 2021 Place of sale: Fukuda Denshi Hyogo Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Hyogo Sales Co., Ltd. (11) Date of sale: August 23, 2021 Location of sale: Fukuda Denshi Hokuriku Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Hokuriku Sales Co., Ltd. (12) Date of loan: August 25, 2021 Location of loan: Fukuda Denshi Keiji Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item loaned: Fukuda Denshi Co., Ltd. loaned a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Keiji Sales Co., Ltd.

Article 30, paragraph 2 of the Patent Act applies (13) Date of loan: September 6, 2021 Location of loan: Fukuda Denshi Keiji Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item loaned: Fukuda Denshi Co., Ltd. loaned a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Keiji Sales Co., Ltd. (14) Date of sale: September 28, 2021 Location of sale: Fukuda Denshi Keiji Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Keiji Sales Co., Ltd. (15) Date of sale: September 29, 2021 Place of sale: Fukuda Denshi Minami Tohoku Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Minami Tohoku Sales Co., Ltd. (16) Date of sale: September 30, 2021 Place of sale: Fukuda Denshi Keiji Sales Co., Ltd. Disclosed by: Fukuda Denshi Co., Ltd. Details of the item sold: Fukuda Denshi Co., Ltd. sold a product (SCM-9000) equipped with a 3D graph display function for long-term electrocardiograms invented by Fujiwara Hiroki to Fukuda Denshi Keiji Sales Co., Ltd.

The present invention relates to an electrocardiogram analyzer.

Long-term electrocardiogram measurements are performed using a Holter monitor to detect conditions such as arrhythmias that are difficult to detect with short-term electrocardiogram measurements. The quality of electrocardiograms measured with a Holter monitor is not consistent and contains waveforms representing tens of thousands of beats. For this reason, it is common for technicians and doctors to conduct various analyses based on the results of automatic analysis by an electrocardiogram analyzer (Patent Documents 1 and 2).

JP 2009-95552 A Japanese Patent Application Laid-Open No. 2020-130335

As described in Patent Document 1, the maximum measurement time for a typical Holter electrocardiogram monitor is one day (24 hours), but some monitors are capable of measuring for longer periods, such as several days. However, similar automatic analysis is performed for measurements over multiple days (e.g., 48 hours or more) and for measurements over one day, and it cannot be said that sufficient research has been done into automatic analysis specific to measurements over multiple days.

The present invention has been made in consideration of the above problems of the conventional technology, and in one aspect thereof, provides an electrocardiogram analysis device capable of providing information specific to electrocardiograms measured over multiple days.

The above-mentioned object can be achieved by an electrocardiogram analysis device comprising: an acquisition means for acquiring electrocardiogram data; a determination means for determining whether the measurement period of the electrocardiogram data is equal to or longer than a predetermined time exceeding 24 hours; and a control means for enabling a trend display for long-term electrocardiograms in response to the determination means' determination that the measurement period is equal to or longer than the predetermined time, wherein the trend display for long-term electrocardiograms is a trend display that presents parameter values calculated from the electrocardiogram data in a three-dimensional graph having axes for time zone, date, and value, and further displays a cursor that extends along the three-dimensional graph in the direction of the date axis and is movable in the direction of the time zone axis .

With this configuration, the present invention can provide an electrocardiogram analysis device and a control method thereof that can provide information specific to electrocardiograms measured over multiple days.

1 is a block diagram illustrating an example of the functional configuration of a general-purpose computer as an example of an electrocardiogram analysis apparatus according to an embodiment of the present invention. FIG. 2 is a diagram showing an example of a two-dimensional graph presented by the electrocardiogram analysis apparatus according to the embodiment. FIG. 2 is a diagram showing an example of a three-dimensional graph presented by the electrocardiogram analysis apparatus according to the embodiment. FIG. 10 is a diagram showing another example of a three-dimensional graph presented by the electrocardiogram analysis apparatus according to the embodiment.

The present invention will now be described in detail based on illustrative embodiments with reference to the accompanying drawings. Note that the following embodiments do not limit the scope of the claimed invention. Furthermore, although the embodiments describe multiple features, not all of them are necessarily essential to the invention, and multiple features may be combined in any desired manner. Furthermore, in the accompanying drawings, the same reference numbers are used to designate identical or similar components, and redundant explanations will be omitted.

In the following embodiments, the present invention will be described as being implemented on a general-purpose computer such as a personal computer or tablet terminal. However, the present invention can also be implemented on any electronic device, such as a media player, smartphone, or game console.

Figure 1 is a block diagram showing an example of the functional configuration of a general-purpose computer 100 capable of functioning as an electrocardiogram analysis device according to this embodiment. The CPU 1, which functions as a control unit, realizes functions according to the program, for example, by reading a program stored in the storage device 10 into the RAM 3 and executing it. For example, by executing a specific application program (electrocardiogram analysis application) while the operating system (OS) is running on the general-purpose computer 100, the general-purpose computer 100 functions as the electrocardiogram analysis device according to this embodiment.

The storage device 10 is, for example, a hard disk drive (HDD) or solid state drive (SSD), and stores operating system (OS), device drivers, applications, user data, etc. The storage device 10 also stores GUI (graphical user interface) data for displaying menu screens, user setting data, and application initial setting data.

ROM2 stores programs and firmware necessary for starting up the computer, such as a bootstrap loader, as well as various setting information. ROM2 may be at least partially rewritable.

RAM 3 is used as an area for expanding programs executed by CPU 1, and as a temporary storage area for variables, data, etc. Part of RAM 3 may also be used as video memory.

Memory card 4 is a recording medium that can be inserted into card slot 5 and removed, and general-purpose computer 100 can read data from memory card 4 inserted into card slot 5 and write data to memory card 4. In this embodiment, general-purpose computer 100 acquires data such as long-term electrocardiograms recorded by a Holter electrocardiograph via memory card 4. Note that general-purpose computer 100 may also acquire electrocardiogram data to be automatically analyzed by other methods. For example, it may acquire electrocardiogram data to be automatically analyzed from the Holter electrocardiograph that performed the measurement, or from another external device 200 that stores the measured electrocardiogram data, by communication via communication interface 20, which will be described later.

The display unit 6 includes a display device such as a liquid crystal display (LCD) or an organic EL display, a display control circuit, and the like. Note that while FIG. 1 shows a configuration in which the display unit 6 is built into the general-purpose computer 100, the display unit 6 may also be external. Furthermore, the computer may include both a built-in display unit 6 and an external display unit 6.

The operation unit 8 is a device with which the user inputs instructions to the general-purpose computer 100, and is typically one or more input devices such as a keyboard, a pointing device (such as a mouse), or a contact-sensing device (such as a touch panel). The keyboard may be a hardware keyboard or a software keyboard. The touch panel may be provided on the display unit 6, or may be in the form of a touchpad, such as those commonly found on notebook computers.

The communication interface (I/F) 20 is hardware that enables the general-purpose computer 100 to communicate with the external device 200 in accordance with a specified standard. The communication I/F 20 has a configuration according to the communication standard it supports, such as a connector that complies with a wired communication standard, or a wireless transceiver that complies with a wireless communication standard. The communication I/F 20 may support multiple communication standards. There are no particular restrictions on the communication standards that the communication I/F 20 supports, but typical examples of wired communication standards include Ethernet (registered trademark) and USB, and typical examples of wireless communication standards include Bluetooth (registered trademark) and wireless LAN (IEEE802.11x).

A user (e.g., a technician) who uses the automatic analysis of electrocardiograms measured with a Holter monitor launches the automatic analysis application stored in storage device 10 using an operating method appropriate for the OS running on general-purpose computer 100. CPU 1 reads the automatic analysis application from storage device 10 into RAM 3 and executes it, causing general-purpose computer 100 to function as an electrocardiogram analyzer. Hereinafter, the general-purpose computer 100 functioning as an electrocardiogram analyzer will be referred to as electrocardiogram analyzer 100.

Next, we will explain the operation of the electrocardiogram analysis device 100, which is realized by the CPU 1 executing an automatic analysis application. The CPU 1 acquires a data file storing the electrocardiogram data to be automatically analyzed in response to an operation from the operation unit 8. The CPU 1 may, for example, present a file browser screen provided by the OS on the display unit 6 and allow the user to specify the data file to acquire. Alternatively, the CPU 1 may search a predetermined location, such as the memory card 4, and automatically acquire a data file that meets predetermined conditions (for example, a data file with a specified file name).

The CPU 1 stores the acquired data file in the storage device 10. Note that instead of acquiring the entire data file all at once, the electrocardiogram data stored in the data file may be acquired in fixed amounts at a time. Note that in this embodiment, the electrocardiogram data is assumed to be digital data that has been A/D converted under predetermined conditions. There are no particular restrictions on the type or number of leads included in the electrocardiogram data, and they may be one or more of the leads measured by a typical Holter monitor, such as NASA leads, CC5 leads, and CM5 leads, or the standard 12 leads. The measurement period for the electrocardiogram data is assumed to be a predetermined period of time exceeding 24 hours (for example, 27 hours, 2 days, or one week).

CPU1 first applies quality check processing to the electrocardiogram data to detect poor signal sections that are unsuitable for analysis. For example, CPU1 evaluates the baseline level and superimposed noise, and identifies sections where the superimposed level exceeds a threshold or noise sections as poor signal sections and excludes them from analysis processing. If measurements are being taken on multiple channels (leads) using a Holter electrocardiograph, CPU1 applies quality check processing to the data on each channel.

CPU 1 applies quality check processing to all data from the start to the end of measurement, and stores information that can identify the detected bad signal sections (e.g., the start date and time and end date and time of the section) in association with the data file's identification information (e.g., the file name) in storage device 10. CPU 1 applies subsequent processing to sections of the electrocardiogram data excluding the bad signal sections (referred to as analysis sections or valid signal sections).

Next, CPU 1 detects QRS interval candidates from the electrocardiogram data. If measurements are being taken from multiple channels (leads) using a Holter electrocardiograph, CPU 1 detects QRS interval candidates from the data of each channel. CPU 1 then detects the candidate that is determined to be highly reliable as the final QRS interval. Reliability can be determined based on one or more of, for example, signal quality, the degree of noise contamination, the validity of the RR interval, and whether or not it has been detected in other leads.

The CPU 1 then calculates feature quantities (parameters) based on the QRS interval. The parameters calculated here include, but are not limited to, the RR interval (RRI) between adjacent QRS intervals, the width of the QRS interval, the height of the QRS interval, the direction of the QRS interval, and the area of the QRS interval. Furthermore, the CPU 1 can calculate other parameters from the parameters based on the QRS interval. In this embodiment, as an example, parameters related to heart rate variability (HRV) are calculated based on time-series data of the RRI.

There are no particular restrictions on the type of HRV-related parameters to be calculated, and any known parameters can be calculated. CPU 1 can calculate, for example, frequency domain parameters (e.g., one or more of VLF, LF, HF, LF/HF, CVVLF, CVLF, CVHF, and CVLF/HF) and time domain parameters (e.g., one or more of AVNN, SDNN, CVNN, and RR50(+)).

For example, CPU 1 applies a fast Fourier transform (FFT) to the RR curve obtained by spline interpolating the RRI time series data to obtain a power spectrum. Then, the power (integral value) for each predetermined frequency band in the power spectrum is calculated as VLF, LF, and HF. For example, VLF is the power in the frequency band of 0.0033 to 0.04 Hz, LF is the power in the frequency band of 0.04 to 0.14 Hz, and HF is the power in the frequency band of 0.14 to 0.4 Hz.

AVNN, SDNN, and CVNN are the average RRI value per 24 hours, the standard deviation, and SDNN/AVNN (%), respectively. RR50(+) is the number of RRIs per 24 hours with a difference of more than 50 ms.

HRV parameters are used to evaluate the autonomic nervous system (sympathetic and parasympathetic nervous systems) and to predict the occurrence of ventricular tachycardia and ventricular fibrillation.

In addition, in this embodiment, the CPU 1 calculates a day-to-day difference and a parameter based on the day-to-day difference for one or more calculated parameters. As mentioned above, measurements using a Holter monitor generally last for approximately 24 hours, so even for electrocardiograms measured over multiple days, analysis in 24-hour increments is simply repeated for the number of days, and no evaluation is performed between data measured on different days, such as day-to-day difference.

When CPU 1 acquires electrocardiogram data measured over multiple days, it calculates the daily difference of the parameters and parameters based on the daily difference, in addition to calculating the previous parameters. The daily difference of the parameters is the difference between parameter values corresponding to the same time on consecutive dates. Furthermore, parameters based on the daily difference may be, for example, the times when the daily difference is maximum and minimum over two consecutive days, or the maximum, minimum, and average values of the daily difference over the entire measurement period, but are not limited to these.

The CPU 1 stores all calculated parameter and RRI time series data in the storage device 10 in association with the electrocardiogram data or identification information (such as a file name) of the electrocardiogram data. In this embodiment, the CPU 1 determines that electrocardiogram data with a measurement period of a predetermined time exceeding 24 hours is electrocardiogram data measured over multiple days.

Day-to-day differences for the same parameter, or parameters based on day-to-day differences, are information that cannot be obtained through 24-hour measurements and can only be obtained through measurements over multiple days. For example, for HRV-related parameters, it is possible to determine the time of day when the day-to-day difference is greatest, and how the day-to-day difference varies depending on the day of the week. This can provide information with potential for new uses, such as identifying times and days of the week when caution is required for each subject.

Furthermore, when CPU 1 acquires electrocardiogram data measured over multiple days, it calculates the day-to-day difference in parameters and parameters based on the day-to-day difference in parameters in addition to calculating the previous parameters. This makes it possible to provide the user with information that cannot be obtained from 24-hour measurements and can only be obtained from measurements over multiple days.

CPU1 provides a function for displaying trends that show changes in parameter values over time over the entire measurement period using a two-dimensional graph with a continuous time axis and a value axis. Furthermore, CPU1 provides a trend display function specific to electrocardiogram data measured over multiple days, which displays trends in a three-dimensional graph with a first time axis indicating the time period, a second time axis indicating the date that is perpendicular to the first time axis, and a value axis.

Figure 2 shows an example of a two-dimensional graph 250 presented on the display unit 6 by the trend display function provided by the electrocardiogram analysis device 100. As an example, this shows a two-dimensional graph 250 that provides a trend display of five frequency domain parameters related to HRV.

The change in the value of each parameter over time (trend) is displayed in the form of a two-dimensional graph in which the parameter values are plotted on a two-dimensional graph with the horizontal axis representing time and the vertical axis representing value. The parameters to be displayed as trends can be switched by operating pull-down menus 252 and 254. Pull-down menu 252 switches between frequency domain parameters and time domain parameters for trend display. Pull-down menu 254 is only displayed when a frequency domain parameter is specified in pull-down menu 252, and switches between parameters based on the power spectrum and their fluctuation coefficients (CCV).

When the CPU 1 determines that the measurement period of electrocardiogram data is equal to or longer than a predetermined time exceeding 24 hours, it enables the trend display for long-term electrocardiograms and displays the long-term trend button 256. When the long-term trend button 256 is operated, the display switches to the trend display for long-term electrocardiograms using a three-dimensional graph.

Figure 3 shows an example of a three-dimensional graph 300 presented on the display unit 6 by the electrocardiogram analysis device 100. Here, a three-dimensional graph presenting the HRV parameter HF calculated based on electrocardiogram data measured over a two-week period (14 days) is shown. However, the user can arbitrarily select the parameters to be presented using the three-dimensional graph.

The three-dimensional graph 300 has orthogonal X, Y, and Z axes, with parameter values plotted on the Z axis. Furthermore, time periods (time ranges) are plotted on the X axis, and dates are plotted at predetermined equal intervals on the Y axis. Because the time period on the X axis is the same for all dates, changes in the parameter value along the Y axis corresponding to any X coordinate represent the daily fluctuations in the parameter value at the time corresponding to the X coordinate.

In addition, adjacently plotted parameter coordinates are connected by a straight line on both the time axis (X axis) and the date axis (Y axis). The slope of this line allows you to intuitively grasp changes over time within the same day and over the course of a day.

In addition, parameter values are divided into multiple levels (ranges) based on the maximum value for the entire measurement period, and each parameter value range is displayed in a different color. This allows you to intuitively grasp the trends in the dates and times when large and small values are obtained.

Figure 3 shows a linear cursor 310 that highlights the parameter value corresponding to a particular X coordinate (i.e., time) in the three-dimensional graph 300 and the line connecting the parameter values. Figure 2 shows a cursor 310 that highlights the parameter value corresponding to 7:00 AM on each day from April 1st to April 14th, which is the measurement period.

The X coordinate at which the cursor 310 is displayed can be determined in response to an operation that specifies a point in the graph. Alternatively, the X coordinate may be determined in response to a time specified through the operation unit 8. The cursor 310 can also be moved in the X-axis direction by operating the operation unit 8 (for example, by pressing a direction key). The cursor 310 makes it easier to grasp the daily difference in parameter values corresponding to a specific time within the measurement period.

The electrocardiogram analysis device 100 also detects the day on which the maximum (Max) and minimum (Min) values of the parameter for multiple days corresponding to the time when the cursor 310 is displayed are obtained, and the day on which the difference between the parameter value of the previous day is greatest. The electrocardiogram analysis device 100 then displays indicators for the maximum (Max), minimum (Min), and maximum difference (MaxΔ) values of the parameters near the plot positions of the corresponding parameter values. As shown in Figure 2, a line connecting the indicator to the position on the cursor 310 may be displayed to clearly indicate the plot position indicated by the indicator.

Furthermore, the electrocardiogram analysis device 100 changes the display magnification (scale) and viewpoint of the three-dimensional graph 300 in response to operation of the operation unit 8. Therefore, the user can view the three-dimensional graph 300 at any magnification and viewpoint that makes it easy to see the daily difference in parameter values at a desired time.

Trend displays using three-dimensional graphs can be displayed simultaneously for multiple parameters. Figure 4 shows an example of a screen 400 that displays trend displays of four parameters in a comparable manner using three-dimensional graphs. The type of parameter presented in each three-dimensional graph can be set and changed by operating a pull-down menu 410 via the operation unit 8. Note that when the electrocardiogram analysis device 100 detects an operation to change the display magnification and viewpoint for one of the four three-dimensional graphs included on the screen 400, it will change or not change the display magnification and viewpoint for the other three three-dimensional graphs in conjunction with the operation, depending on the settings.

As described above, this embodiment makes it possible to realize an electrocardiogram analysis device that can provide users with unique and useful information from electrocardiogram data measured over multiple days that cannot be obtained by measurements within 24 hours.

(Other embodiments)
The present invention can also be implemented as a program that causes a computer to function as the electrocardiogram analyzer described in the above embodiment. Furthermore, the present invention is not limited to the content of the above embodiment, and various changes and modifications can be made without departing from the spirit and scope of the invention. Therefore, the following claims are appended to clarify the scope of the invention.

100... General-purpose computer (electrocardiogram analyzer), 1... CPU, 4... Memory card, 10... Storage device, 200... External device

Claims (9)

an acquisition means for acquiring electrocardiogram data;
a determination means for determining whether the measurement period of the electrocardiogram data is equal to or longer than a predetermined time exceeding 24 hours;
and a control means for enabling a trend display for a long-term electrocardiogram in response to the determination by the determination means that the measurement period is equal to or longer than the predetermined time,
the trend display for the long-term electrocardiogram is a trend display that presents parameter values calculated from the electrocardiogram data in a three-dimensional graph having axes of time period, date, and value;
An electrocardiogram analysis device further comprising: a cursor extending in the date axis direction along the three-dimensional graph and movable in the time zone axis direction; The electrocardiogram analysis device of claim 1, characterized in that in the three-dimensional graph, the coordinates of adjacently plotted parameters are connected by straight lines along the time zone axis and the date axis. The electrocardiogram analysis device of claim 1, wherein the three-dimensional graph uses different display colors depending on the range of values. The electrocardiogram analysis device of claim 3, wherein the value range is determined based on the maximum value of the parameter within the measurement period. An electrocardiogram analyzer according to any one of claims 1 to 4, characterized in that the cursor is linear. The electrocardiogram analysis device of claim 5, further comprising: a display indicating the magnitude of the difference between the value of the previous day and the multiple values of the parameter at the time indicated by the cursor, and the maximum difference between the multiple values of the parameter and the previous day's value, and the display indicating the magnitude of the difference is displayed near the plot position of the maximum difference between the multiple values of the parameter at the time indicated by the cursor. An electrocardiogram analysis device according to any one of claims 1 to 6, characterized in that the parameter is a parameter related to heart rate variability (HRV). An electrocardiogram analysis device according to any one of claims 1 to 7, characterized in that the three-dimensional graph for each of a plurality of parameters can be displayed in a comparable manner. A program for causing a computer to function as each of the means possessed by the electrocardiogram analysis device described in any one of claims 1 to 8.