JP4885659B2 - Heart rate fluctuation detection device and information processing method thereof - Google Patents

Description

  The present invention relates to a technique for visualizing fluctuations in pulsation based on biological signals such as an electrocardiogram waveform and a pulse.

  Conventionally, the Lorentz plot is known as a method for evaluating the enhanced state of sympathetic nerves and parasympathetic nerves. In general, it is important that the sympathetic nerve and the parasympathetic nerve are balanced. If the balance between the sympathetic nerve and the parasympathetic nerve is disturbed, fluctuations in pulsation (heart rate) are affected.

  The Lorentz plot is a well-known technique that visualizes the fluctuation of the pulsation based on biological signals such as an electrocardiogram waveform and a pulse.

  22 and 23 are diagrams showing a method of generating a Lorentz plot based on an electrocardiographic waveform. When an electrocardiographic waveform as indicated by 2201 in FIG. 22 is collected, the position of the R wave is first identified, and the RR interval is calculated. The R wave refers to the peak portion of the electrocardiogram waveform, and the RR interval refers to the heartbeat interval of the nth beat (n is an arbitrary integer) and the n + 1th beat of the R wave. In the example of FIG. 22, the positions of the R waves are identified as R1, R2, R3, and R4, respectively, and the RR intervals are calculated as T21, T32, and T43, respectively.

  Then, based on the calculated RR interval, T21 is plotted on the horizontal axis and T32 is plotted on the vertical axis in the two-dimensional graph region shown in FIG. Next, T32 is plotted on the horizontal axis and T43 is plotted on the vertical axis. A Lorentz plot is generated by sequentially performing such processing on successive RR intervals. FIG. 24 is a diagram showing an example of the generated Lorentz plot, in which (a) generally shows a good state that is balanced, and (b) and (c) show a state that is not balanced. ((B) shows a stress / disease pattern, and (c) shows an arrhythmia pattern).

  As a technique applying the Lorentz plot generated by such a method, the present applicant has made several proposals so far. For example, Patent Document 1 below proposes a real-time pulsation monitor in which the subject can grasp pulsation fluctuations on the spot by displaying the Lorentz plot in real time in parallel with the measurement of the electrocardiogram waveform. Yes.

Moreover, in the following Patent Document 2, an average Lorentz plot distribution region corresponding to the measurement subject's characteristic information (age and gender) is superimposed and displayed on the displayed Lorentz plot of the measurement subject. Therefore, a heartbeat interval display device is proposed in which the measurement subject can judge the fluctuation of the pulsation in comparison.
Japanese Patent Laid-Open No. 2001-212095 Japanese Patent Laid-Open No. 2001-212089

  However, using the fluctuation of the pulsation as an index is not sufficient to determine the health condition of the subject. For example, even if there is moderate fluctuation of the pulsation and the body is in a relaxed state, if the state continues for a long time, the life activity itself may be reduced and health may be harmed. On the contrary, even if there is little fluctuation of pulsation and the body is in tension, there may be a case where it can be changed for the health of the measurement subject for a short time. As described above, it is difficult to comprehensively determine the health condition of the subject without considering not only the fluctuation of the pulsation of the subject but also the continuation state of the fluctuation state.

  The present invention has been made in view of the above problems, and is a device that displays a time domain analysis result obtained based on detected pulsations and input subjective data together, and includes a subject to be measured. An object of the present invention is to provide an apparatus capable of comprehensively judging the health condition of a child.

In order to achieve the above object, a heartbeat fluctuation detecting apparatus according to the present invention has the following configuration. That is,
Extraction means for detecting the beat of the person to be measured and extracting the beat interval;
Based on the beat interval extracted by the extraction means, analysis means for performing a time domain analysis,
Detection means for detecting the body temperature of the measurement subject;
Determination means for determining the balance between the sympathetic nerve and the parasympathetic nerve of the measurement subject and the continuation status of the balance based on the analysis result by the analysis means and the detected body temperature;
Display means for displaying a message based on the determination result in the determination means.

  Further, another heartbeat fluctuation detecting device according to the present invention has the following configuration.

Extraction means for detecting the beat of the person to be measured and extracting the beat interval;
Coordinate calculation means for calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
Variation calculating means for calculating variations of the coordinate data calculated within a predetermined time;
Based on the detection means for detecting the body temperature of the subject within the predetermined time, the calculated variation, and the detected body temperature, the balance between the sympathetic nerve and the parasympathetic nerve of the subject and the balance Determination means for determining the continuation status of
Display means for displaying a message based on the determination result in the determination means.

  According to the present invention, in the device that displays the time domain analysis result obtained based on the detected beat and the input subjective data together, it is possible to comprehensively determine the health condition of the measurement subject. become able to.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings as necessary. The heartbeat fluctuation detection apparatus described in each of the following embodiments will be described as an apparatus that displays a Lorentz plot, which is one of geometric figure analysis methods of time domain analysis. However, the present invention is described below. The form is not limited. For example, as another heart rate variability index, a triangle index, which is one of geometric figure analysis methods for time domain analysis, SDNN, SDANN, r-MSSD, RR50 (NN50), pNN50 (φ ₀ NN50), CVRR, and the like.

[First Embodiment]
1. Appearance Configuration FIG. 1 of the apparatus is a diagram showing an external configuration of the heartbeat fluctuation detecting device according to a first embodiment of the present invention. In the figure, reference numeral 101 denotes a housing which covers an internal electronic device and forms the outer shape of the apparatus. An electrode for detecting a pulsation is embedded in a part of the housing 101 (a part indicated by 102). Can detect the pulsation.

  Reference numeral 103 denotes a display / operation unit, which displays a Lorentz plot as one of data obtained by one of the geometric figure analysis methods of the time domain analysis method based on the detected pulsation, and the person to be measured Accepts various operations by.

  Although not shown in FIG. 1, it is assumed that the heart rate fluctuation detection apparatus according to the present embodiment is configured to be connected to a thermometer that detects the body temperature of the measurement subject.

2. Functional Configuration of Device FIG. 2 is a diagram showing a functional configuration of the heartbeat fluctuation detecting device according to the first embodiment of the present invention. In the figure, reference numeral 201 denotes a clock unit which oscillates a clock signal and supplies it to the CPU 202. Reference numeral 202 denotes a CPU which operates based on a clock signal oscillated from the clock unit 201. A RAM 203 functions as a work area for a program processed by the CPU 202 and also functions as a storage unit that temporarily stores data and the like during program processing. A ROM 204 stores a program processed by the CPU 202.

  Reference numeral 205 denotes a display / operation unit that displays a processing result processed by the CPU 202 and receives an instruction input from the measurement subject. Reference numeral 206 denotes an electrode that detects the pulsation of the subject and outputs an electrical signal. An amplifier 207 amplifies the electrical signal output from the electrode 206 and converts it into a digital signal (hereinafter referred to as heartbeat measurement data).

  Reference numeral 208 denotes a thermometer (body temperature measuring means) that detects the body temperature of the subject and outputs an electrical signal. An amplifier 209 amplifies the electrical signal output from the thermometer 208 and converts it into a digital signal (hereinafter referred to as body temperature measurement data).

  Reference numeral 210 denotes a data recording unit, which is calculated data and body temperature measurement data obtained by processing the heart rate measurement data in the CPU 202, and information (setting) about the measurement subject set by the measurement subject via the display / operation unit 205. Data: eg age, sex) etc. are recorded.

  Functions 221 to 228 realized by the program stored in the ROM 204 are shown. Reference numeral 221 denotes a heartbeat detection processing unit that receives heartbeat measurement data output from the amplifier 207. A heartbeat interval detection processing unit 222 identifies the R wave of the heartbeat waveform based on the received heartbeat measurement data, calculates each RR interval, and calculates Lorentz plot data (Lorentz plot in a two-dimensional graph area). Coordinate data for display). Also, a heart rate per predetermined time, for example, one minute is calculated. Further, when the measurement is completed, the degree of fluctuation and the degree of achievement of the target are calculated. The fluctuation degree means the size of the distribution area of the two-dimensional graph area (in the heartbeat fluctuation detection apparatus according to the present embodiment, the variation of Lorentz plot data). The target achievement level refers to the ratio of the size of the distribution region of the generated Lorentz plot to the size of the average distribution region of the Lorentz plot corresponding to the information (age) about the measurement subject.

  A display processing unit 223 displays setting data input in advance by the person to be measured on the display / operation unit 205 at the start of measurement. During the measurement, the Lorentz plot is displayed on the display / operation unit 205 based on the Lorentz plot data generated by the heartbeat interval detection processing unit 222, and the characters, A heart rate detection mark (described later) displayed by a symbol, a symbol mark or the like is blinked, and a heart rate is further displayed. Further, when the measurement is completed, the calculated degree of fluctuation and target achievement are displayed. Moreover, the body temperature measurement data received in the body temperature input process part mentioned later are displayed. Further, the past Lorentz plot data is read, and the Lorentz plot is displayed on the display / operation unit 205, and the fluctuation degree extracted by the trend processing unit described later is displayed as a trend graph.

  A data recording processing unit 224 records body temperature measurement data and the like in the data recording unit 210 in addition to the calculated Lorentz plot data, the degree of fluctuation, the target achievement level, and the input setting data. In addition, the Lorentz plot data, fluctuation degree, target achievement degree, input setting data, body temperature measurement data, and the like recorded in the past are deleted from the data recording unit 210.

  A trend processing unit 225 extracts the past fluctuation degree and body temperature measurement data recorded in the data recording unit 210 and arranges them in time series. Note that it is also possible to extract only the fluctuation degree and body temperature measurement data associated with specific setting data and arrange them in time series. Note that the degree of fluctuation can be arbitrarily selected and arranged in ascending order, descending order, frequency order, date, or the like.

  A user input processing unit 226 receives setting data input via the display / operation unit 205. A body temperature input processing unit 227 receives body temperature measurement data output from the amplifier 209.

  A determination processing unit 228 determines the state of the person to be measured based on the calculated degree of fluctuation and the received body temperature measurement data.

3. Screen design Figure 3 in the apparatus is a diagram showing an example of a screen of the display / operation unit 205 (Here, the screen or the like may be used in addition, high visibility organic EL LCD screen). Reference numeral 301 denotes a data display unit, and the display processing unit 223 displays various data. In the example of FIG. 3, a screen for displaying a Lorentz plot is shown, and the units of the horizontal axis and the vertical axis are msec. Reference numerals 309 and 310 denote scroll bars for scrolling the data display unit 301, respectively. Reference numeral 205a denotes a cross key for arbitrarily moving the cursor and the scroll bar.

  Reference numeral 302 denotes a measurement button, and the measurement subject starts measurement by pressing the measurement button 302.

  A reproduction button 303 reads past Lorentz plot data recorded in the data recording unit 208 and displays it on the data display unit 301. A delete button 304 deletes past Lorentz plot data, fluctuation degree, target achievement and setting data, body temperature measurement data, and the like recorded in the data recording unit 208.

  A trend display button 305 displays a trend graph of the degree of fluctuation on the data display unit 301. A trend display end button 306 terminates the display of the trend graph on the data display unit 301 and returns to the display of the Lorentz plot.

  Reference numerals 307 and 308 denote a reduction button and an enlargement button, respectively, which reduce or enlarge the Lorentz plot, trend graph, and the like displayed on the data display unit 301.

4). Flow of processing in the device (overall)
FIG. 4 is a flowchart showing the flow of the entire process in the heartbeat fluctuation detecting apparatus according to the first embodiment of the present invention. When the apparatus is turned on in step S401, an initial screen (for example, the screen shown in FIG. 3) is displayed on the display / operation unit 205 in step S402.

  In step S403, it is determined what operation has been performed by the measurement subject. If it is determined that the measurement button 302 has been pressed by the measurement subject, the process proceeds to step S404, and the measurement process is executed (details of the measurement process will be described later). If it is determined that the playback button 303 or the delete button 304 has been pressed by the subject, the process advances to step S407 to execute the Lorentz plot data playback / deletion process (details of the Lorentz plot data playback / deletion process are as follows). , Described later). Further, when it is determined that the trend display button 305 is pressed by the measurement subject, the process proceeds to step S408, and the trend display process is executed (details of the trend display process will be described later).

  When the measurement process in step S404 ends, the process proceeds to step S405, and it is determined whether or not the calculated Lorentz plot data or the like is to be stored in the data recording unit 208. If a save instruction is input from the measurement subject, the process proceeds to step S406, where Lorentz plot data or the like is saved.

  If it is determined in step S405 that a save instruction has not been input, if the save process of Lorentz plot data or the like is completed in step S406, or if the Lorentz plot data reproduction / deletion process is completed in step S407, or If the trend display process ends in S408, the process proceeds to step S409.

  In step S409, it is determined whether or not a power OFF operation has been performed. If the power OFF operation has not been performed, the process returns to step S403 and the above processing is repeated.

  On the other hand, if the power is turned off in step S409, the process is terminated.

5. Details of Measurement Processing (Step S404) Details of the measurement processing (step S404) will be described with reference to FIGS. FIG. 5A is a flowchart showing the flow of the measurement process (step S404).

  When the measurement button 302 is pressed to start the measurement process, in step S501, a setting data input screen is displayed on the data display unit 301 to determine whether or not setting data has been input.

  For example, FIG. 6 is a diagram illustrating a state in which the setting data input screen 601 is displayed on the data display unit 301. As shown in the figure, in the case of the present embodiment, for example, the measurement subject inputs setting data for default items (here, five items 602 to 606) at the time of measurement.

  Reference numeral 602 denotes an item for selecting the age of the person to be measured (by selecting the age of the person to be measured, an average Lorentz plot distribution region corresponding to the age can be called). Reference numeral 603 denotes an item for selecting the current status of the measurement subject. Items 604 and 605 are used to input information about the subject's subjective symptoms based on the subject's subjectivity. Specifically, reference numeral 604 denotes an item for inputting information on the current mental state of the measurement subject. Reference numeral 605 denotes an item for inputting information on the current physical condition (physical state) of the measurement subject. Reference numeral 606 denotes an item for inputting information on a medicine that the measurement subject is currently taking.

  Reference numeral 607 denotes a setting button. When the setting button 607 is pressed, the setting data of the setting items 602 to 606 is set, and then the setting data input screen 601 is closed. Reference numeral 608 denotes a cancel button. When the cancel button 608 is pressed, the setting data input screen 601 is closed without setting the setting data of the setting items 602 to 606. When the setting button 607 is pressed, it is determined in step S501 that setting data has been input, and the process proceeds to step S502. On the other hand, when the cancel button 608 is pressed, the process is terminated.

  In step S502, threshold values a and b are set. The detailed flow of the threshold value a and b setting processing will be described later.

  When the processing in step S502 is completed, a measurement start instruction input screen 701 is displayed as shown in FIG. 7, and it is determined whether or not to start measurement.

  When the start button 702 is pressed, the measurement start instruction input screen 701 is closed and measurement (heart rate, body temperature) is started (“Yes” in step S503). On the other hand, when the cancel button 703 is pressed, the measurement start instruction input screen 701 is closed and the process is terminated (“No” in step S503).

  When measurement is started in step S503, setting data and the like are displayed in step S504. FIG. 8 is a diagram illustrating an example of the data display unit 301 after the measurement is started.

  In the figure, reference numeral 801 denotes a heartbeat detection mark, which blinks in accordance with the R wave of the heartbeat measurement data received by the heartbeat detection processing unit 211. Reference numeral 802 denotes a heart rate display column (a column for displaying the number of heart beats per minute). Reference numeral 803 denotes a column for displaying whether the data display unit 301 is currently enlarged, displayed in a standard size, or reduced. Reference numeral 804 denotes a field for displaying the current date and time. Further, in the target setting field 807, the age or age and gender of the measurement subject selected by the measurement subject on the setting data input screen 601 is displayed (however, the age and sex may not be displayed). Reference numeral 805 denotes an average Lorentz plot distribution area corresponding to the age of the selected person to be measured.

  In step S505, the heartbeat detection processing unit 221 receives heartbeat measurement data. The body temperature input processing unit 227 receives body temperature measurement data.

  In step S506, based on the heart rate measurement data received by the heart rate detection processing unit 211, the heart rate detection mark 801 blinks and the heart rate is displayed in the heart rate display field 802 in real time.

  In step S507, Lorentz plot is performed. 806 in FIG. 8 is an example of a Lorentz plot. In step S508, it is determined whether a predetermined time has elapsed since the measurement was started. If the predetermined time has not elapsed, the process returns to step S505. On the other hand, if the predetermined time has elapsed, the process proceeds to step S509. The progress until a predetermined time elapses is displayed at an arbitrary position on the data display unit 301 (segment display or the like, countdown display or countup display), or a pet, a child, a landscape, a character, or the like is arbitrarily selected. It is also possible to display the screen so as to complete an image or the like sequentially. In addition, Lorentz plots are displayed in order until a predetermined time elapses, but all Lorentz plots may be displayed simultaneously after a predetermined time elapses.

  In step S509, the target achievement level and the fluctuation level are calculated and displayed based on all the Lorentz plot data at the time of the current measurement. Preferably, in step S510, a line indicating the Lorentz plot data distribution area is displayed. In this way, it can be easily compared with the size of the distribution area of the average Lorentz plot corresponding to information (age, gender) about the measurement subject.

  In step S511, the body temperature measurement data is displayed on the data display unit 301. Further, in step S512, the state of the subject is determined based on the degree of fluctuation calculated in step S509 and the body temperature measurement data received in step S505 (the details of the determination process will be described later). . In addition, a message corresponding to the determined state of the measurement subject is displayed on the data display unit 301.

  FIG. 9 is a diagram illustrating a state in which a line 901 indicating a distribution area of Lorentz plot data, a target achievement level 902, a fluctuation level 903, a body temperature 904, and a message 905 are displayed.

5.1 Details of threshold value a and b setting process (step S502) Details of the threshold value a and b setting process (step S502) will be described with reference to FIG. 5B. In step S521, all past fluctuation degrees that have been measured and recorded in the data recording unit 210 are read out. In step S522, the average value Avg of the past fluctuation degree read in step S521 is calculated. In step S523, the calculated Avg is set to the threshold value a of the fluctuation degree.

  In step S524, the body temperature threshold value recorded in the data recording unit 210 in advance (the lower limit value of the ideal body temperature) is read. In step S525, the read value is set as the body temperature threshold value b.

  Thus, in this embodiment, the threshold value of the fluctuation degree is set based on the measurement result of the measurement subject in the past. A predetermined value is used as the body temperature threshold.

5.2 Details of Determination Process (Step S512) Next, details of the determination process (step S512) will be described with reference to FIG. 5C. In step S531, it is determined whether or not the calculated degree of fluctuation is greater than or equal to the threshold value a. If it is determined that the calculated degree of fluctuation is equal to or greater than the threshold value a, the process proceeds to step S532, and it is determined whether or not the measured body temperature is equal to or greater than the threshold value b. If it is determined that the measured body temperature is equal to or higher than the threshold value b, the process proceeds to step S533.

  Here, when the degree of fluctuation is equal to or greater than the threshold value a, it can be said that the parasympathetic nerve is dominant and the body is in a relaxed state. Furthermore, it can be said that the body temperature is equal to or higher than the threshold value b is the ideal body temperature. Therefore, in step S533, the current person to be measured determines that “the person is in a moderately relaxed state and in a balanced state”.

  On the other hand, if it is determined in step S532 that the body temperature is lower than the threshold value b, the process proceeds to step S534.

  Here, when the degree of fluctuation is equal to or greater than the threshold value a, it can be said that the parasympathetic nerve is dominant and the body is in a relaxed state. On the other hand, if the body temperature is lower than the threshold value b, it can be said that the person being measured has a tendency to lower the body temperature. Therefore, in step S534, the current person to be measured determines that “the relaxed state continues, the life activity itself also decreases, and the body temperature tends to decrease”. It should be noted that such a state is not a desirable state for the person to be measured, and it can be said that the person to be measured should take good exercise to maintain his / her health.

  On the other hand, if it is determined in step S531 that the degree of fluctuation is smaller than the threshold value a, the process proceeds to step S535, and it is determined whether or not the measured body temperature is equal to or higher than the threshold value b. If it is determined that the measured body temperature is equal to or higher than the threshold value b, the process proceeds to step S536.

  Here, when the degree of fluctuation is smaller than the threshold value a, it can be said that the sympathetic nerve is dominant and the body is in a tense state. On the other hand, it can be said that the body temperature is equal to or higher than the threshold value b is the ideal body temperature. Therefore, in step S536, it is determined that the current person to be measured is “in a moderate tension state and in a balanced state”.

  On the other hand, if it is determined in step S535 that the body temperature is lower than the threshold value b, the process proceeds to step S537.

  Here, when the degree of fluctuation is smaller than the threshold value a, it can be said that the sympathetic nerve is dominant and the body is in a tense state. Further, the fact that the body temperature is lower than the threshold value b means that the measurement subject tends to be hypothermic. Accordingly, in step S537, the current person to be measured determines that “the continuation of the tension state tends to cause a decrease in blood flow and a decrease in body temperature”.

  In step S538, the determination result in step S533 or 534 or 536 or 537 is displayed on the data display unit 301.

  As described above, in the heartbeat fluctuation detection device according to the present embodiment, not only the fluctuation of the pulsation but also the body temperature is considered, so that not only the relaxed state or the tensioned state is determined, but also the relaxed state continues appropriately. It is also possible to determine “the continuation state of the fluctuation state” such as whether or not it is continued, or whether the tension state is moderately continued or continued excessively. As a result, it is possible to comprehensively determine the health condition of the measurement subject.

6). Details of Plot Data Saving Process (Step S406) Details of the plot data saving process (step S406) will be described with reference to FIGS. When the measurement is completed and the line 901 indicating the distribution area, the target achievement 902, the fluctuation degree 903, the body temperature 904, and the message 905 are displayed, the data display unit 301 stores the measurement result as shown in FIG. An input screen 1101 is displayed. The measurement result storage input screen 1101 includes a storage button 1102 and a cancel button 1103. The save button 1102 is a button for instructing to save the measurement result measured this time by the measurement subject. A cancel button 1103 is a button for inputting an instruction not to save the measurement result measured this time.

  In FIG. 11, when the save button 1102 is pressed, various setting data set at the time of the current measurement are recorded in the data recording unit 208 in step S1001 of FIG. Further, in step S1002, calculated data (Lorentz plot data, line 901 indicating the distribution area, target achievement 902, fluctuation degree 903) and body temperature measurement data (body temperature 904) are associated with the setting data in the data recording unit 208. Record. At this time, the date and time when the measurement is completed is also recorded.

  FIG. 12 is a diagram illustrating an example of various data (date and time, setting data, calculation data, body temperature measurement data) recorded in the data recording unit 208 by the plot data storage process.

  In the figure, reference numeral 1201 denotes a data number, which is assigned in ascending order according to the order of saving for each data to be saved.

  1202 is the date and time of measurement completion. 1203-1 to 1207 are setting data input by the measurement subject at the time of measurement, and 1208 to 1211 are calculation data. Specifically, 1208 is Lorentz plot data, 1209 is line data indicating a distribution region, 1210 is a target achievement level, and 1211 is a fluctuation level. Reference numeral 1212 denotes body temperature measurement data.

7). Details of Lorentz Plot Data Reproduction / Deletion Processing (Step S407) Details of Lorentz plot data reproduction / deletion processing (step S407) will be described with reference to FIGS. When the play button 303 or the delete button 304 is pressed, it is determined in step S1301 in FIG. 13 which button of the play button 303 or the delete button 304 has been pressed.

  If it is determined in step S1301 that the play button 303 has been pressed, the process advances to step S1302, and a data list recorded in the data recording unit 208 is displayed on the data display unit 301. Reference numeral 1401 in FIG. 14 shows a state where a data list is displayed. The measured person selects any one of the data numbers described in the data list 1401 and presses the play button 1402.

  In step S1303, data (setting data (age), calculation data (Lorentz plot data 1208, line data 1209 indicating a distribution region) necessary for the reproduction process of Lorentz plot data based on the data number selected by the measurement subject is determined. The target achievement degree 1210, the fluctuation degree 1211), and the body temperature measurement data 1212) are read out.

  In step S1304, the data read in step S1303 is displayed on the data display unit 301. At this time, an average Lorentz plot distribution area corresponding to the setting data (age) is called and displayed together.

  Note that when the measured person presses the cancel button 1403 when the data list 1401 is displayed, the data display unit 301 returns to the display before the playback button 303 is pressed.

  On the other hand, if it is determined in step S1301 that the delete button 304 has been pressed, the process advances to step S1305 to display the data list recorded in the data recording unit 208 on the data display unit 301. Reference numeral 1501 in FIG. 15 shows a state in which a data list is displayed. The measured person selects one of the data numbers described in the data list 1501 and presses the delete button 1502.

  In step S1306, the data of the data number selected by the measurement subject is deleted from the data recording unit 208. Subsequently, when the person to be measured selects another data number and presses the delete button 1502, the data of the data number is deleted from the data recording unit 208. That is, data can be continuously deleted until the cancel button 1503 is pressed.

  When the cancel button 1503 is pressed, in step S1307, the display immediately before the delete button 303 is pressed is returned.

8). Details of Trend Display Processing (Step S408) Details of the trend display processing (step S408) will be described with reference to FIGS.

  When the trend display button 305 is pressed, a trend display method selection screen 1700 shown in FIG. 17 is displayed on the data display unit 301.

  In step S1601, the trend display method selected by the person to be measured is accepted on the trend display method selection screen 1700. In step S1602, it is determined whether or not “display all data in time series” (1701) is selected on the trend display method selection screen 1700.

  If it is determined in step S1602 that “display all data in time series” (1701) is selected, the process advances to step S1603 to extract all fluctuation degree and body temperature measurement data recorded in the data recording unit 208. To do. In step S1604, the fluctuation degree and body temperature measurement data extracted in step S1603 are sorted in time series and displayed as a trend graph.

  In step S1602, when it is determined that “display all data in time series” (1701) is not selected (that is, when it is determined that “extract and display specific data” (1702) is selected). In step S1605, the process proceeds to step S1605.

  For example, when “extract and display specific data” (1702) is selected, the person to be measured, for example, “specific situation” (1703), “characteristic mental state” (1704), “specific physical condition” Any one or more of (1705) and “specific drug” (1706) are selected.

  When a plurality of selections are made, the fluctuation degree and body temperature measurement data of the data numbers in which all of these items are set are extracted.

  Therefore, in step S1605, the degree of fluctuation and body temperature measurement data corresponding to the data number in which the selected setting data is stored are extracted from the data recording unit 208. In step S1606, the extracted fluctuation degree and body temperature measurement data are sorted in time series or ascending order and descending order, and in step S1607, they are displayed as a trend graph.

  FIG. 18 is a diagram illustrating an example of a trend graph (1800 is a fluctuation trend graph, 1804 is a body temperature trend graph) displayed on the data display unit 301. For example, the horizontal axis indicates the date and time, and the vertical axis indicates the degree of fluctuation (%) or body temperature (° C.). 1801 is the maximum value of the trend graph of the fluctuation degree displayed on the data display unit 301, 1802 is the minimum value of the trend graph of the fluctuation degree displayed on the data display unit 301, and 1803 is the data display unit The average values of the trend graphs of the fluctuation degrees displayed in 301 are respectively shown. The horizontal axis may be displayed as simulation, and the vertical axis may be displayed as the degree of fluctuation.

  Returning to FIG. In step S1608, it is determined whether or not a specific portion of the displayed trend graph is designated by the measurement subject. If it is determined that the subject has been designated, the process advances to step S1609 to read setting data corresponding to the designated degree of fluctuation or body temperature. In step S1610, the read setting data is displayed in a balloon. To do.

  FIG. 19 is a diagram illustrating a state where a specific portion of the trend graph displayed on the data display unit 301 is designated. As shown in the figure, when the cursor 1900 is moved to a specific location with the cross key 205a, for example, a balloon (such as a comment) is displayed (1901, 1902), and setting data corresponding to the degree of fluctuation or body temperature at the specific location is displayed. Is displayed.

  Returning to FIG. In step S1611, it is determined whether the trend display end button 306 has been pressed. If it is determined that the trend display end button 306 has been pressed, the trend display is terminated, and the display returns to the display screen before the trend display method selection screen 1700 is displayed in step S1601.

  On the other hand, if it is determined in step S1611 that the trend display end button 306 has not been pressed, the process returns to step S1608.

  As apparent from the above description, in this embodiment, the body temperature is measured together with the heartbeat, and the health condition of the measurement subject is determined based on the fluctuation of the pulsation and the body temperature.

  In other words, by considering fluctuations in pulsation and body temperature, it is possible not only to determine whether the state is relaxed or tensioned, but also whether the relaxed state is moderately continued, excessively continued, or tensioned. It has become possible to determine the continuation status of the state, such as whether it has continued moderately or continued excessively. As a result, it has become possible to comprehensively determine the health condition of the measurement subject.

[Second Embodiment]
In the first embodiment, the threshold value a is automatically calculated based on the past fluctuation degree, and the threshold value b is set to a predetermined value. Not limited. For example, the thresholds a and b may be configured so that the measurement subject can arbitrarily set the thresholds a and b.

  FIG. 20 is a diagram showing details of threshold value a, b setting processing (step S502) in this embodiment. FIG. 21 shows data when threshold value a, b setting processing (step S502) is started. It is a figure which shows the threshold value input screen 2101 displayed on the display part 301. FIG.

  The measured person inputs an appropriate threshold value in the field (2102) for inputting the threshold value of the fluctuation degree on the threshold value input screen 2101. In addition, an appropriate threshold value is input in a field (2103) for inputting a body temperature threshold value. When the input is completed, the setting button 2104 is pressed.

  When the measurement subject presses the setting button 2104, it is determined in step S2001 in FIG. 20 that a threshold value has been input, and the process proceeds to step S2002. In step S2002, the input threshold values are set to a and b, respectively.

  On the other hand, when the measurement subject presses the cancel button 2105, it is determined in step S2001 in FIG. 20 that the threshold value has not been input, and the process is terminated.

  As is apparent from the above description, according to the present embodiment, the person to be measured can arbitrarily set the threshold value a of the fluctuation degree and the threshold value b of the body temperature.

[Third Embodiment]
In the first embodiment, based on the degree of fluctuation and the body temperature, the health condition of the measurement subject (current health condition tendency) is displayed on the data display unit 301 as a message. It is not limited to this. For example, lifestyle advice may be displayed to the subject in correspondence with the current health condition trend.

  For example, if it is determined in step S503 of FIG. 5 that “it is in a moderately relaxed state and in a balanced state”, it may be arranged to display lifestyle habit advice that is only for the relaxed state. Good.

  In addition, in step S504 in FIG. 5, if it is determined that “the relaxed state continues, the life activity itself decreases, and the body temperature tends to decrease”, the advice that the appropriate exercise is taken in. May be displayed. Alternatively, a specific exercise program may be provided.

  If it is determined in step S506 in FIG. 5 that “it is in a moderately tensioned state and in a balanced state”, lifestyle advice for preventing the tension state from continuing excessively is displayed. Also good.

  Furthermore, if it is determined in step S507 in FIG. 5 that "the tendency to cause a decrease in blood flow and a decrease in body temperature due to continued tension," advice on a breathing training method for solving the tension is provided. It may be displayed or advice for promoting blood flow improvement may be displayed.

  By displaying such advice, the person being measured can not only grasp the trend of his / her current health condition, but also know what to do in the future. This will be meaningful to the person being measured.

It is a figure which shows the external appearance structure of the heartbeat fluctuation detection apparatus concerning the 1st Embodiment of this invention. It is a figure which shows the function structure of the heartbeat fluctuation detection apparatus concerning the 1st Embodiment of this invention. 6 is a diagram illustrating an example of a screen of a display / operation unit 205. FIG. It is a flowchart which shows the flow of a process in the heart rate fluctuation detection apparatus concerning the 1st Embodiment of this invention. It is a flowchart which shows the flow of a process of a measurement process (step S403). It is a flowchart which shows the flow of a process of a threshold value setting process (step S502). It is a flowchart which shows the flow of a process of a determination process (step S512). It is a figure which shows a mode that the setting data input screen 601 was displayed. It is a figure which shows a mode that the measurement start instruction | indication input screen 701 was displayed. It is a figure which shows an example of the data display part 301 after a measurement is started. It is a figure which shows a mode that the line 901 which shows the fluctuation degree of Lorentz plot data, the target achievement degree 902, the fluctuation degree 903, and the body temperature 904 were displayed. It is a flowchart which shows the flow of a process of plot data preservation | save processing (step S406). It is a figure which shows a mode that the measurement result preservation | save input screen 1101 was displayed. It is a figure which shows the various data recorded on the data recording part 208 by the plot data preservation | save process. It is a flowchart which shows the flow of a process of plot data reproduction | regeneration / deletion process (step S407). It is a figure which shows a mode that the data list was displayed. It is a figure which shows a mode that the data list was displayed. It is a flowchart which shows the flow of a process of a trend display process (step S408). It is a figure which shows an example of a trend display method selection screen. It is a figure which shows an example of the trend graph displayed on the data display part. It is a figure which shows a mode that the specific location of the trend graph displayed on the data display part was designated. It is a flowchart which shows the flow of a process of a threshold value setting process (step S502). It is a figure which shows an example of a threshold value input screen. It is a figure for demonstrating the Lorentz plot method based on an electrocardiogram waveform. It is a figure for demonstrating the Lorentz plot method based on an electrocardiogram waveform. It is a figure which shows an example of a Lorenz plot.

Claims (12)

Extraction means for detecting the beat of the person to be measured and extracting the beat interval;
Based on the beat interval extracted by the extraction means, analysis means for performing a time domain analysis,
Detection means for detecting the body temperature of the measurement subject;
Determination means for determining the balance between the sympathetic nerve and the parasympathetic nerve of the measurement subject and the continuation status of the balance based on the analysis result by the analysis means and the detected body temperature;
A heart rate fluctuation detection device comprising: display means for displaying a message based on a determination result in the determination means. Extraction means for detecting the beat of the person to be measured and extracting the beat interval;
Coordinate calculation means for calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
Variation calculating means for calculating variations of the coordinate data calculated within a predetermined time;
Based on the detection means for detecting the body temperature of the subject within the predetermined time, the calculated variation, and the detected body temperature, the balance between the sympathetic nerve and the parasympathetic nerve of the subject and the balance Determination means for determining the continuation status of
A heart rate fluctuation detection device comprising: display means for displaying a message based on a determination result in the determination means. When the calculated variation is greater than a predetermined variation threshold and the detected body temperature is greater than the predetermined body temperature threshold, the determination means that the parametrical sympathetic nerve is dominant in the subject. 3. The heartbeat fluctuation detecting apparatus according to claim 2, wherein it is determined that the heartbeat fluctuation is continued. When the calculated variation is larger than a predetermined variation threshold and the detected body temperature is smaller than the predetermined body temperature threshold, the measurement subject continues to be in a state where the parasympathetic nerve is dominant. The heartbeat fluctuation detection device according to claim 2, wherein it is determined that the time during which the operation is performed is long. When the calculated variation is smaller than a predetermined variation threshold and the detected body temperature is larger than a predetermined body temperature threshold, the measurement subject has an appropriate sympathetic nerve state. 3. The heartbeat fluctuation detecting apparatus according to claim 2, wherein it is determined that the heartbeat fluctuation is continued. When the calculated variation is smaller than a predetermined variation threshold and the detected body temperature is smaller than a predetermined body temperature threshold, the determination unit continues to be in a state where the sympathetic nerve is dominant. The heartbeat fluctuation detection device according to claim 2, wherein it is determined that the time during which the operation is performed is long. The display means further includes:
The heart rate fluctuation detection device according to claim 2, wherein a plot is displayed in the two-dimensional graph area based on the coordinate data, and the detected body temperature is displayed. A setting means for setting information on the subject,
Storage means for storing the calculated variation, the detected body temperature, and information on the subject in association with each other,
The display means further includes:
The trend graph is displayed by extracting the variation and the body temperature associated with predetermined information from the information on the measurement subject and arranging them in time series. Heart rate fluctuation detection device. 9. The heartbeat fluctuation detecting apparatus according to claim 8, wherein the variation threshold is determined by calculating an average value based on the calculated variation stored in the storage unit. An extraction process for detecting the beat of the person to be measured and extracting the beat interval;
Based on the beat interval extracted by the extraction step, an analysis step for performing a time domain analysis,
A detection step of detecting the body temperature of the measurement subject;
A determination step of determining a balance between the sympathetic nerve and the parasympathetic nerve of the measurement subject and a continuation state of the balance based on the analysis result by the analysis step and the detected body temperature;
A display step of displaying a message based on a determination result in the determination step. An information processing method in a heartbeat fluctuation detecting device, comprising: An extraction process for detecting the beat of the person to be measured and extracting the beat interval;
A coordinate calculation step of calculating each coordinate data when the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as a vertical axis or a horizontal axis of a two-dimensional graph region;
A variation calculating step of calculating variations of the coordinate data calculated within a predetermined time;
Based on the detection step of detecting the body temperature of the subject within the predetermined time, the calculated variation, and the detected body temperature, the balance between the sympathetic nerve and the parasympathetic nerve of the subject and the balance A determination step of determining the continuation status of
A display step of displaying a message based on a determination result in the determination step. A control program for realizing the information processing method according to claim 10 or 11 by a computer.

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