JP5114459B2 - Biological monitoring system and program - Google Patents

Description

  The present invention relates to a biological monitoring system for monitoring a biological state.

  In recent years, with the increase in the number of elderly people due to longevity and aging, cases of various treatments for patients with diseases such as hypertension and ischemic heart disease are increasing. When such a patient is treated with anesthesia or for a long time, the possibility of an unexpected situation increases.

  Therefore, for example, in the case of dental treatment, when anesthesia is involved, a system for monitoring a patient's biological condition has been developed in order to ensure patient safety (see, for example, Non-Patent Document 1).

  There has also been proposed a monitoring system that predicts the occurrence of an abnormal reaction in a living body by observing the state of an autonomic nerve (see, for example, Patent Documents 1 and 2). Patent Documents 1 and 2 disclose a biological monitoring method for detecting a change over time in the activity level of an autonomic nerve in a medical practice or the like, and giving a warning when a patient's abnormal reaction is predicted to stop the therapeutic action. Is disclosed.

  Furthermore, various systems for monitoring the state of a living body based on CVRR (Coefficient of Variation of RR intervals) indicating the degree of variation in the R-R interval, which is the interval between R waves in the electrocardiogram, have been proposed (for example, Patent Document 3). 4).

JP 2005-261777 A JP 2004-329710 A JP 2008-108005 A JP 2008-279127 A

Joe Kaneko et al., Edited by "Monitoring Guide for Measuring, Watching and Reading", Ishiyaku Shuppan Publishing Co., Ltd., October 20, 2004

  However, since CVRR is calculated based on the RR interval, which is the interval of R waves in the electrocardiogram data, it is generally updated to a new CVRR value at the timing when the R wave is detected. In addition, since the autonomic nerve activity index is calculated by frequency analysis of the RR interval of the electrocardiogram data, a new value is generally calculated by frequency analysis of the electrocardiogram data for a certain period. The

  Therefore, when attempting to monitor the state of the living body using both the values of CVRR and the autonomic nerve activity index, the timing at which the values of CVRR and the autonomic nerve activity index are updated, and the range of electrocardiographic data to be measured May not be able to be monitored with high accuracy.

  In other words, in the conventional biological monitoring system, the CVRR and the autonomic nerve activity index are calculated as different independent indexes, and therefore, the state of the living body is monitored using both the values of the CVRR and the autonomic nerve activity index. In such a case, there is a problem that an accurate living body state cannot be monitored.

  The objective of this invention is providing the biological monitoring system and program which can improve a monitoring precision, when monitoring the state of a biological body using CVRR and an autonomic nerve activity index.

[Biological monitoring system]
In order to achieve the above object, the living body monitoring system of the present invention comprises an electrocardiogram measuring means for measuring the electrocardiogram of a living body,
Each time an R wave is detected in the electrocardiographic data measured by the electrocardiogram measurement means, the activity level of the autonomic nerve is shown by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time point. An autonomic nerve activity calculating means for calculating an autonomic nerve activity index;
CVRR calculating means for calculating an electrocardiogram RR interval variation coefficient based on the electrocardiographic data in the past fixed period each time an R wave is detected in the electrocardiographic data measured by the electrocardiographic measuring means;
Display means for displaying biological information;
Control means for controlling the display means to display two-dimensionally the relationship between the autonomic nerve activity index calculated by the autonomic nerve activity calculating means and the electrocardiogram RR interval variation coefficient calculated by the CVRR calculating means A biological monitoring system.

  According to the present invention, every time an R wave is detected in electrocardiographic data, an autonomic nervous activity index and CVRR (electrocardiogram RR interval variation coefficient) are calculated based on the electrocardiographic data within the same predetermined period. Therefore, it is possible to improve the monitoring accuracy when monitoring the state of the living body using the CVRR and the autonomic nerve activity index.

In addition, another living body monitoring system of the present invention includes a receiving unit that receives electrocardiographic data measured by the electrocardiographic measuring unit,
Each time an R wave is detected in the electrocardiogram data received by the accepting means, an autonomic nerve activity index is calculated by frequency analysis of the electrocardiographic data within a certain past period from the R wave detection time point. Nerve activity calculation means,
CVRR calculating means for calculating an electrocardiogram RR interval variation coefficient based on the electrocardiographic data in the past fixed period each time an R wave is detected in the electrocardiographic data received by the receiving means;
Display means for displaying biological information;
Control means for controlling the display means to display two-dimensionally the relationship between the autonomic nerve activity index calculated by the autonomic nerve activity calculating means and the electrocardiogram RR interval variation coefficient calculated by the CVRR calculating means A biological monitoring system.

  In the present invention, the autonomic nerve activity index may be a sympathetic nerve activity index indicating a sympathetic activity level.

  In the present invention, the autonomic nerve activity index may be an autonomic nerve total activity index indicating an overall activity of autonomic nerve activity.

[program]
Further, the program of the present invention includes a step of measuring an electrocardiogram of a living body by an electrocardiogram measuring means,
Each time an R wave is detected in the electrocardiographic data measured by the electrocardiogram measurement means, the activity level of the autonomic nerve is shown by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time point. Calculating an autonomic nerve activity index;
Each time an R wave is detected in the electrocardiogram data measured by the electrocardiogram measurement means, an electrocardiogram RR interval variation coefficient is calculated based on the electrocardiogram data in the past fixed period ;
A program for causing a computer to execute a step of two-dimensionally displaying a relationship between a calculated autonomic nerve activity index and a calculated electrocardiogram RR interval variation coefficient.

Furthermore, another program of the present invention includes a step of receiving electrocardiographic data measured by an electrocardiographic measurement means;
Each time an R wave is detected in the received electrocardiographic data, calculating an autonomic nerve activity index by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time ;
Each time an R wave is detected in the received electrocardiogram data, a step of calculating an electrocardiogram RR interval variation coefficient based on the electrocardiogram data in the past fixed period ;
A program for causing a computer to execute a step of two-dimensionally displaying a relationship between a calculated autonomic nerve activity index and a calculated electrocardiogram RR interval variation coefficient.

  As described above, according to the present invention, when monitoring the state of a living body using CVRR and an autonomic nerve activity index, it is possible to improve the monitoring accuracy.

It is a block diagram which shows the structure of the biological monitoring system of one Embodiment of this invention. It is a flowchart which shows operation | movement of the biological monitoring system of one Embodiment of this invention. It is a flowchart for demonstrating the LF / HF calculation method in the biological monitoring system of one Embodiment of this invention. It is a figure which shows the heart rate fluctuation | variation measuring method in the case of LF / HF calculation. It is a figure which shows an example which spectrum-analyzed in the case of LF / HF calculation. It is a figure for demonstrating the calculation method (FIG. 6 (A)) of the conventional LF and HF, and the calculation method (FIG. 6 (B)) of LF and HF in embodiment of this invention. It is a figure for comparing and showing the conventional calculation method and the calculation method of the embodiment of the present invention. It is a figure which shows an example of the display shown by the display apparatus 22 in FIG. It is a figure which shows the other example of the display shown by the display apparatus 22 in FIG. It is a figure which shows the example of an actual display based on the measurement data calculated by the conventional calculation method. It is a figure which shows the example of an actual display based on the measurement data calculated by the calculation method of embodiment of this invention.

  Next, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing a configuration of a living body monitoring system according to an embodiment of the present invention.

  As shown in FIG. 1, the biological monitoring system of the present embodiment displays an electrocardiogram monitor 14 for acquiring electrocardiographic data of a measurement subject, a control device 18, a storage device 20, and biological information. Display device 22, autonomic nerve activity calculation unit 24, and CVRR (Coefficient of Variation of RR intervals) calculation unit 25.

  The electrocardiogram monitor 14 attaches a minus electrode, for example, to the measurement subject's throat, a plus electrode on the left flank, and a body ground on the right flank, obtains heart movement as an electrical signal and records it as electrocardiographic data.

  The autonomic nerve activity calculation unit 24 performs frequency analysis (spectrum analysis) on electrocardiographic data within a predetermined period such as 60 seconds each time an R wave is detected in the electrocardiographic data measured by the electrocardiogram monitor 14. Thus, an autonomic nerve activity index indicating the degree of autonomic nerve activity is calculated. The R wave refers to the peak portion of the electrocardiogram waveform. Here, as specific examples of the autonomic nerve activity index, the sympathetic nerve activity index (LF / HF) indicating the activity level of the sympathetic nerve and the autonomic nerve total activity indicating the overall activity amount of the autonomic nerve activity. A quantity index (LH + HF) can be used.

  Here, LF + HF which is the sum of the high frequency component (HF) and the low frequency component (LF) in the spectrum analysis result of the RR interval indicates the overall size of the autonomic nerve activity and the total power of the autonomic nerve. ing. Therefore, in this embodiment, this LF + HF is used as an autonomic nerve total activity amount index indicating the overall activity amount of autonomic nerve activity.

  A specific method for calculating LF / HF or LH + HF will be described later.

  Each time an R wave is detected in the electrocardiogram data measured by the electrocardiogram monitor 14, the CVRR calculation unit 25 is based on the electrocardiographic data within the same predetermined period as the autonomic nerve activity index is calculated. , CVRR (electrocardiogram RR interval variation coefficient) is calculated. A specific method for calculating the CVRR will also be described later.

  The control device 18 is composed of, for example, a computer, processes the biological information obtained by the autonomic nerve activity calculation unit 24 and the CVRR calculation unit 25, stores the processed information in the storage device 20, or displays it on the display device 22. To do. The control device 18 displays a new value on the display device 22 at the timing when the R wave of the electrocardiogram data is detected.

  Then, the control device 18 shows the relationship between the autonomic nerve activity index (LF / HF or LF + HF) calculated by the autonomic nerve activity calculating unit 24 and the CVRR calculated by the CVRR calculating unit 25 to the display device 22. Display in two dimensions.

  Further, the control device 18 may set the dangerous area according to a preset value, or automatically sets the dangerous area according to the patient information input in advance such as the patient's past history, age, and sex. You may make it do.

  Next, the operation of the biological monitoring system of this embodiment will be described in detail with reference to FIGS. In addition, here, in order to simplify the explanation, a case where a sympathetic nerve activity index (LF / HF) is used as an autonomic nerve activity index will be described, but the autonomic nerve total activity index (LH + HF) is also calculated in a similar manner. It is possible to calculate. FIG. 2 is a flowchart showing the operation of the living body monitoring system of the present embodiment, and FIG. 3 is a flowchart for explaining the LF / HF calculation method.

  First, the operation of the biological monitoring system of this embodiment will be described with reference to FIG.

  First, as initial settings, patient information such as the name, age, ID number, sex, and past history (diabetes, vascular disorder, etc.) of the measurement subject is input to the control device 18 (S201).

  Then, measurement of the electrocardiogram data of the living body by the electrocardiogram monitor 14 is started (step S202). Each time an R wave is detected in the electrocardiogram data (step S203), the autonomic nerve activity calculation unit 24 performs an LF / HF calculation to indicate a sympathetic nerve activity index indicating the degree of sympathetic nerve activity ( LF / HF) is calculated (step S204). Then, the CVRR calculation unit 25 performs CVRR calculation to calculate CVRR that is an index indicating the degree of variation in the RR interval (step S205). Then, the calculation result calculated by the autonomic nerve activity calculation unit 24 and the calculation result calculated by the CVRR calculation unit 25 are stored in the storage device 20 by the control device 18 and two-dimensionally displayed on the display device 22 ( Step S206).

  Then, it is determined whether or not the treatment is continued (step S207). If the treatment is continued, the processing from step S203 is repeated. Then, such measurement and display are repeated, and when the safe treatment is completed (step S207), the control device 18 ends the process.

  Next, details of the LF / HF calculation method shown in step S203 of FIG. 2 are shown in FIGS.

  First, in step S <b> 301, the autonomic nerve activity calculation unit 24 calculates heartbeat variability from electrocardiographic data input from the electrocardiogram monitor 14. The heart rate variability was calculated as shown in FIGS. 4A and B by measuring the RR interval by taking the interval between the R wave and the next R wave, and then measuring as shown in FIGS. 4C and D. The R-R interval data is plotted at the time position of the rear R-wave, and after interpolation, data is resampled at equal intervals (dotted line in FIG. 4C). In the next step S302, spectrum analysis (frequency conversion) is performed on the data obtained in step S301. An example of the spectrum analysis in step S302 is shown in FIG. In the next step S303, a low frequency component LF is obtained. Here, the low frequency component LF is an integral value of the power spectrum component of 0.04 to 0.15 Hz. In the next step S304, a high frequency component HF is obtained. Here, the high frequency component HF is an integral value of the power spectrum component of 0.15 to 0.40 Hz. In step S305, the ratio between the LF obtained in step S303 and the HF obtained in step S304 is calculated as LF / HF.

  In the living body monitoring system of the present embodiment, the calculation of LF and HF is performed at the timing when the R wave is detected. FIG. 6 shows a method for calculating LF and HF in this embodiment in comparison with a general conventional method for calculating LF and HF. FIG. 6A is a diagram illustrating a conventional method for calculating LF and HF, and FIG. 6B is a diagram illustrating a method for calculating LF and HF in the present embodiment.

  In the conventional calculation method, LF and HF are calculated based on the electrocardiogram data of the past 60 seconds, for example, at a constant interval of 2 seconds, whereas in the calculation method of this embodiment, an R wave is detected. For example, LF and HF are calculated based on electrocardiogram data for the past 60 seconds. That is, in the calculation method of the present embodiment, LF and HF are not calculated periodically, but LF and HF are calculated for each beat in accordance with the timing at which the R wave is detected.

  In this way, the autonomic nerve activity calculation unit 24 calculates the sympathetic nerve activity index (LF / HF) from the electrocardiogram data measured by the electrocardiogram monitor 14. In addition, when the autonomic nerve activity calculation part 24 calculates an autonomic nerve total activity index (LH + HF), it is realizable by performing the process which adds the value of LF and HF in the process of step S305.

Next, details of the CVRR calculation method performed in step S203 of FIG. 2 will be described.
CVRR is an index indicating the degree of variation in heart rate variability, and is a coefficient indicating the degree of variation in the RR interval (interval of the apex of the R wave in the electrocardiogram waveform) shown in FIG. 4A. Specifically, this CVRR is calculated by the following equation.
CVRR = R−R interval standard deviation / R−R interval average × 100 (%)
Here, the RR interval standard deviation is, for example, the standard deviation of the RR interval in a predetermined period of 60 seconds. The RR interval average is, for example, an average of RR intervals in a predetermined period.

  The CVRR calculation unit 25 calculates CVRR from the electrocardiogram data measured by the electrocardiogram monitor 14 based on the above formula.

  FIG. 7 shows the relationship between the calculation method of LF and HF and the calculation method of CVRR in the living body monitoring system of the present embodiment described above in comparison with the conventional calculation method.

  Referring to FIG. 7, as described above, the calculation method of LF and HF is conventionally calculated based on the electrocardiogram data for the past 60 seconds at intervals of 2 seconds. Then, it turns out that it calculates based on the electrocardiogram data for the past 60 seconds for every R wave detection. The calculation method of CVRR is based on the electrocardiogram data for the past 100 beats at the time of detecting the R wave. In the present embodiment, the electrocardiogram data for the past 60 seconds is detected for each R wave detection. It can be seen that the calculation is based on this.

  That is, in the present embodiment, the calculation of LF and HF and the calculation of CVRR are performed based on electrocardiographic data at the same timing and the same period.

  Since CVRR is calculated based on the RR interval, CVRR is generally calculated based on electrocardiographic data having a fixed number of beats such as 100 beats. However, if CVRR is calculated based on electrocardiographic data having a fixed number of beats as described above, the range serving as a calculation reference also changes when the heart rate changes. For example, the range serving as the CVRR calculation reference differs by more than twice between tachycardia such as 120 beats / minute and normal heart rate such as 58 beats / minute.

  Therefore, if LF and HF are calculated based on electrocardiographic data of a period such as 60 seconds that is not related to the heart rate, and CVRR is calculated based on electrocardiographic data having a fixed number of beats, LF, HF The data range serving as the calculation reference for CVRR differs from the data range serving as the calculation reference for CVRR.

  Therefore, when calculating LF, HF and CVRR by this conventional calculation method, and monitoring the state of the living body using the autonomic nervous activity index based on LF and HF and CVRR, the data range that is the calculation reference It is impossible to deny the possibility that monitoring with high accuracy cannot be expected due to the difference between the two.

  For such a problem, according to the living body monitoring system of the present embodiment, every time an R wave is detected in electrocardiographic data, an autonomic nerve activity index and an index based on the electrocardiographic data within the same predetermined period are used. Since CVRR (electrocardiogram RR interval variation coefficient) is calculated, it becomes possible to improve the monitoring accuracy when the state of the living body is monitored using the CVRR and the autonomic nerve activity index.

  Next, an example of the display of the display device 22 in the biological monitoring system of the present embodiment is shown in FIG.

  In the display example shown in FIG. 8, the sympathetic activity index (LF / HF) calculated by the autonomic nerve activity calculating unit 24 with the sympathetic activity index (LF / HF) as the vertical axis and CVRR as the horizontal axis. HF) and CVRR are displayed two-dimensionally. In the display example shown in FIG. 8, the past measurement values are indicated by black circles, and the latest measurement values are indicated by white circles.

  Normally, when the subject is at rest, the parasympathetic nerve is dominant, the sympathetic nerve activity index (LF / HF) is a relatively small value, the RR interval is stable, and the value of CVRR Is also a small value.

  And when the value of LF / HF becomes large in spite of a to-be-measured person's resting state, it is possible that some physical stress is added to the to-be-measured person.

  Assuming from various measurement data, it is considered that the sympathetic nerve is activated when LF / HF is 2.0 or more, and when LF / HF is 5.0 or more, the state of the autonomic nerve is It is determined that the sympathetic nerve is dominant.

  Therefore, in the display example shown in FIG. 6, a dotted line is provided so that a region where LF / HF is 2.0 or more or 5.0 or more is clear. As a result, in a resting state such as during treatment, if LF / HF is 2.0 or less, the patient is not subjected to physical stress and is in the range of 2.0 to 5.0. It can be determined that the patient is undergoing minor physical stress. And when LF / HF becomes 5.0 or more, it can determine with the patient receiving the strong physical stress.

  In addition, when the person being measured is at rest, the CVRR is usually a low value of 5.0 or less. However, if any mental stress is applied to the person being measured, the value of this CVRR is Becomes larger. And when a to-be-measured person receives the strong mental stress, CVRR will be 10.0 or more.

  Therefore, in the display example shown in FIG. 8, a dotted line is provided so that a region where CVRR is 5.0 or higher or 10.0 or higher is clear. As a result, in a resting state such as during treatment, if CVRR is 5.0 or less, the patient is not mentally stressed. Can be determined to have received minor mental stress. And when CVRR becomes 10.0 or more, it can determine with the patient receiving the strong mental stress.

  Thus, according to the display example shown in FIG. 8, a person who performs treatment such as a doctor, a dentist, a nurse, a dental hygienist, etc., shows how much physical stress and mental stress the patient has. It is possible to visually grasp whether the patient is receiving, and it is possible to easily grasp not only the physical stress but also the mental stress that the patient is receiving.

  Next, FIG. 9 shows another example of display on the display device 22 in the autonomic nervous function diagnostic apparatus of this embodiment.

  In the display example shown in FIG. 9, the autonomic nerve activity index (LH + HF) calculated by the autonomic nerve activity calculation unit 24 with the autonomic nerve activity index (LH + HF) as the horizontal axis and CVRR as the vertical axis. And the relationship with CVRR are two-dimensionally displayed.

  Here, based on the plurality of autonomic nerve activity amount indexes (LF + HF) calculated by the autonomic nerve activity calculating unit 24 and the plurality of CVRRs calculated by the CVRR calculating unit 25, the control device 18 calculates LF + HF and The relationship of CVRR is calculated by a linear function, and a straight line based on the calculated linear function is displayed on the display device 22. Here, the control device 18 approximates the relationship between LF + HF and CVRR to a linear function by, for example, the least square method.

  Furthermore, the control device 18 may function as a determination unit that determines whether there is an abnormality in the autonomic nervous function based on a measurement result that deviates by a predetermined amount or more from the calculated relationship between LF + HF and CVRR. For example, the distance from the direct by the calculated linear function is calculated, and if the distance is greater than or equal to a predetermined value, it is determined that the correlation between LF + HF and CVRR is out of the correlation. The presence / absence of abnormality of the autonomic nerve function may be determined based on the number of measurement results being present and the distance from the primary straight line.

  According to the display as shown in FIG. 9, the abnormality of the autonomic nerve function can be easily determined and the autonomic nerve function can be determined with higher accuracy as compared with the case where the relationship between CVRR and LF / HF is displayed in two dimensions. It can be seen that the abnormality can be determined.

  The display examples shown in FIGS. 8 and 9 schematically show actual measurement data. Refer to FIGS. 10 and 11 for display examples based on data measured by an actual measurement subject. To explain.

  FIG. 10 is a diagram illustrating an actual display example based on measurement data calculated by a conventional calculation method. FIG. 11 is a diagram showing an actual display example based on the measurement data calculated by the calculation method of the present embodiment. 10 and 11, the autonomic nerve total activity amount index (LH + HF) calculated by the autonomic nerve activity level calculation unit 24 with the autonomic nerve total activity index (LH + HF) as the horizontal axis and CVRR as the vertical axis, and CVRR Is displayed in a two-dimensional manner.

  However, in the display examples shown in FIGS. 10 and 11, LF + HF is calculated based on electrocardiographic data for the past 60 seconds every time an R wave is detected. In the display example of the conventional calculation method in FIG. 10, CVRR is calculated based on data for the past 100 beats when the R wave is detected, whereas in the display example of the calculation method of the present embodiment in FIG. Then, CVRR is calculated based on data for the past 60 seconds when the R wave is detected.

  FIGS. 10 and 11 are display examples based on the same electrocardiographic data when the subject has cerebral anemia. Comparing FIG. 10 and FIG. 11, in the display example of FIG. 11, the values of CVRR and LF + HF are calculated based on data in the same range. It can be seen that the measurement point is located at Therefore, even when an abnormality occurs in the measurement subject, it becomes possible to detect the abnormality more quickly, and monitoring with higher accuracy is possible.

[Modification]
In the above embodiment, the electrocardiogram monitor 14 is provided, and the sympathetic nerve activity index (LF / HF) and CVRR are calculated based on the electrocardiogram data measured by the electrocardiogram monitor 14. The invention is not limited to such a configuration. Without providing the electrocardiogram monitor 14, a receiving means for receiving external electrocardiographic data is provided, and a sympathetic nerve activity index (LF / HF) and CVRR are calculated based on the electrocardiographic data received by the receiving means. It can also be set as a simple structure. By adopting such a configuration, it is not necessary to provide an electrocardiogram measuring means such as the electrocardiogram monitor 14 in the living body monitoring system.

14 ECG monitor 18 Control device 20 Storage device 22 Display device 24 Autonomic nerve activity level calculation unit 25 CVRR calculation unit S201 to S207 Steps S301 to S305 Steps

Claims (6)

An electrocardiogram measuring means for measuring the electrocardiogram of a living body;
Each time an R wave is detected in the electrocardiographic data measured by the electrocardiogram measurement means, the activity level of the autonomic nerve is shown by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time point. An autonomic nerve activity calculating means for calculating an autonomic nerve activity index;
CVRR calculating means for calculating an electrocardiogram RR interval variation coefficient based on the electrocardiographic data in the past fixed period each time an R wave is detected in the electrocardiographic data measured by the electrocardiographic measuring means;
Display means for displaying biological information;
Control means for controlling the display means to display two-dimensionally the relationship between the autonomic nerve activity index calculated by the autonomic nerve activity calculating means and the electrocardiogram RR interval variation coefficient calculated by the CVRR calculating means When,
A biological monitoring system. Receiving means for receiving electrocardiogram data measured by the electrocardiogram measuring means;
Each time an R wave is detected in the electrocardiogram data received by the accepting means, an autonomic nerve activity index is calculated by frequency analysis of the electrocardiographic data within a certain past period from the R wave detection time point. Nerve activity calculation means,
CVRR calculating means for calculating an electrocardiogram RR interval variation coefficient based on the electrocardiographic data in the past fixed period each time an R wave is detected in the electrocardiographic data received by the receiving means;
Display means for displaying biological information;
Control means for controlling the display means to display two-dimensionally the relationship between the autonomic nerve activity index calculated by the autonomic nerve activity calculating means and the electrocardiogram RR interval variation coefficient calculated by the CVRR calculating means When,
A biological monitoring system.   The living body monitoring system according to claim 1, wherein the autonomic nerve activity index is a sympathetic nerve activity index indicating a sympathetic activity level.   The living body monitoring system according to claim 1, wherein the autonomic nerve activity index is an autonomic nerve total activity index indicating an overall activity of autonomic nerve activity. Measuring the electrocardiogram of a living body by means of electrocardiogram measuring means;
Each time an R wave is detected in the electrocardiographic data measured by the electrocardiogram measurement means, the activity level of the autonomic nerve is shown by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time point. Calculating an autonomic nerve activity index;
Each time an R wave is detected in the electrocardiogram data measured by the electrocardiogram measurement means, an electrocardiogram RR interval variation coefficient is calculated based on the electrocardiogram data in the past fixed period ;
Two-dimensionally displaying a relationship between the calculated autonomic nerve activity index and the calculated electrocardiogram RR interval variation coefficient;
A program that causes a computer to execute. Receiving the electrocardiogram data measured by the electrocardiograph means;
Each time an R wave is detected in the received electrocardiographic data, calculating an autonomic nerve activity index by frequency analysis of the electrocardiographic data within a certain period in the past from the R wave detection time ;
Each time an R wave is detected in the received electrocardiogram data, a step of calculating an electrocardiogram RR interval variation coefficient based on the electrocardiogram data in the past fixed period ;
Two-dimensionally displaying a relationship between the calculated autonomic nerve activity index and the calculated electrocardiogram RR interval variation coefficient;
A program that causes a computer to execute.

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