JP6807279B2 - Extra systole discrimination device, extra systole discrimination method and program - Google Patents

Description

The present invention relates to an extra systole discriminating device, an extra systole discriminating method and a program.

Conventionally, an electrocardiographic waveform analysis system, which is biological information of a subject, has been widely known. First, the preconditions for understanding in the field of electrocardiographic waveform analysis will be briefly described.
1 Heart activity The heart does not have one rhythm in itself, but each part of the heart has its own rhythm. Under normal conditions, each part moves according to the rhythm of the sinus node (60 to 100 times / minute) called sinus rhythm.

The normal rhythm of the heart is transmitted in the order of sinus node → atrioventricular node → His bundle → left and right legs → Purkinje fiber, and in this process, it stimulates the atrial and ventricular muscles to cause regular contraction. An electrocardiogram can visualize the excitement of the atrium to which the sinus node belongs and the contraction of the ventricles. Waveforms seen on the electrocardiogram include P wave, QRS complex, T wave, and U wave. Of these, the P wave reflects the excitement of the atrium. In ventricular contraction, two types of phenomena, depolarization and repolarization, are observed in sequence in one contraction. It is the QRS complex that reflects this depolarization, and the T wave reflects the repolarization (see reference [i]).

Of the ECG waveforms, the QRS complex, which reflects the depolarizing activity of the heart, is the easiest to capture the features. The normal value of the QRS complex is 0.10 [sec] or less in duration and 3.5 [mV] to 4.0 [mV] or less in potential (references [i], [ii]).

Of the waveforms that make up the QRS complex, the Q wave and S wave are negative waves, and only the R wave is a positive wave. Since the R wave is easier to see than the Q wave and the S wave, the R-R Interval (RRI), which is the interval between two adjacent R waves, is often used to calculate the instantaneous heartbeat (reference [Reference]. i]-[iii]). Usually, it is evaluated whether the instantaneous heart rate calculated in this way or the average heart rate obtained from the instantaneous heart rate is sinus rhythm. FIG. 5 is a diagram showing the relationship between the R wave and the RRI.
2 Arrhythmia and extra systole A normal pulse refers to a state in which the P-QRS-T pattern is aligned in the same shape, the intervals are approximately regular, and the heart rate is 60 to 100 beats / minute. Those who lose one of these three characteristics are called arrhythmias.

One of the arrhythmias is extra systole. In extrasystoles, a QRS complex that interrupts a regular instantaneous heartbeat is observed, and the instantaneous heartbeat composed of the interrupted QRS complex and the QRS complex before and after it often deviates from sinus rhythm. FIG. 6 is a diagram showing an example of extra systole.

Extrasystoles are broadly divided into supraventricular extrasystoles and ventricular extrasystoles. In general, the QRS complex with supraventricular extrasystoles has almost the same shape as the normal QRS complex, but the QRS complex with ventricular extrasystoles often has a different shape from normal (references [i], [ii]. ]reference). FIG. 7 is a diagram showing a QRS complex observed in supraventricular extrasystoles, and FIG. 8 is a diagram showing a QRS complex observed in ventricular extrasystoles.
3 Wearable ECG measurement As one of the means for measuring an electrocardiogram, there is a wearable device such as a Holter electrocardiograph. In the electrocardiogram acquired using these devices, measurement abnormalities occur due to electrode abnormalities such as electrode deformation and displacement, or measurement abnormalities due to various factors such as body movement, sweating, and static electricity (see Reference [iv]). This measurement abnormality can be confirmed on the electrocardiogram in the form of artifacts and noise as shown in FIG.

As shown in FIG. 9, the waveform observed as an artifact is similar to the R wave, and one or more are observed continuously. Therefore, the algorithm that analyzes the electrocardiogram and extracts the R wave makes the artifact an R wave. (Hereinafter, such an R wave is referred to as a measurement abnormality R wave, and an RRI including one or more measurement abnormality R waves is referred to as a measurement abnormality RRI).
An artifact that is one of the measurement abnormalities is misjudged as an R wave, and does not reflect the depolarizing activity of the heart at all due to its generation mechanism. Therefore, if at least one of the R waves constituting the instantaneous heartbeat to be analyzed is erroneously determined to be an R wave, the RRI duration is shorter than the sinus rhythm, but extra systole. It cannot be said that.
4 Conventional method As a method for detecting arrhythmia, there is a method using a pulse rate measured by Apple Watch (registered trademark) or the like. In this method, based on the fact that the peak frequency of the heart rate variability analysis appears in 0.003 to 0.04, 0.04 to 0.15, and 0.15 to 0.4 [Hz], it was measured by Apple Watch or the like. Patients with atrial fibrillation are identified by comparing the peak frequency obtained by frequency analysis of the pulse rate with the peak frequency of healthy subjects.

Insight Data, "Detecting heart arrhythmia learning machine learning and Apple Watch data," Search URL: https://blog. insightdatascience. com / detecting-heart-arrhythmia-using-machine-learning-and-apple-watch-data-84bc97f30d3e (searched on May 1, 2017)

The pulse wave is not equal to the heart rate because it fluctuates under the influence of the heart and blood vessels. Since the heart rate variability analysis is premised on performing analysis using RRI, which is an instantaneous heartbeat, the target peak frequency may not always be used as it is for pulse analysis.

In general, extrasystoles can be captured by electrocardiogram, but may not be captured by pulse waves (reference [v]). In such a case, since the pulse obtained from the pulse wave and the heartbeat obtained from the electrocardiogram do not match, it is impossible in principle to estimate the abnormality of the heart from the pulse.

When the number of extra systoles is small, the change in heart rate is small, so there is a high possibility that abnormalities cannot be detected even if frequency analysis is performed using heart rate instead of pulse rate. The conventional method does not consider the abnormality of the measuring instrument. That is, since the measurement abnormality R wave cannot be excluded from the analysis target, it is impossible to distinguish between the case where the measurement abnormality R wave occurs at a frequency regarded as an arrhythmia and the state where the subject has an arrhythmia.

The present invention has been made in view of the above circumstances, and is an extra systole discriminating device and an extra systole discriminating method capable of discriminating an extra systole after discriminating between a measurement abnormal state and a normal measurement state. And the purpose of providing the program.

In the first aspect of the present invention, when the extra systole discriminating device has a normal measurement state of the R wave obtained from the electrocardiographic data, the QRS group including the R wave whose measurement state is normal is evaluated. Evaluation target QRS group determination means to be determined as an evaluation target QRS group,
The evaluation object QRS complex and the adjacent QRS complex adjacent to the evaluation object QRS complex in time is, whether it is in the range of sinus rhythm with is a QRS complex occurs in the past, as well as the evaluation object QRS group and the adjacent QRS A means for determining an extra systole candidate for determining whether or not the QRS complex to be evaluated is an extra systole candidate based on whether or not the group occurs within the physiologically possible range of the heart. To do.

A second aspect of the present invention further includes, in the first aspect, a type determination means for determining the type of extrasystole indicated by the evaluation target QRS group determined to be the extrasystole candidate.

In the third aspect of the present invention, in the first aspect, the extra systole candidate determination means means that the evaluation target QRS complex is outside the predetermined sinus rhythm range and the adjacent QRS group is relative to the evaluation target QRS complex. If you are occurring within a predetermined time, it determined that the evaluation object QRS complex is the extrasystole candidates.

A fourth aspect of the present invention further includes, in the second aspect, a normal QRS group determining means for determining whether or not the evaluation target QRS complex is a normal QRS group, and the type determining means is the evaluation target. QRS complex is based on whether it is determined that the normal QRS complex, to determine the type of extrasystoles represented by the evaluation object QRS complex.

In the fifth aspect of the present invention, the extra contraction discrimination method is applied to the extra contraction discriminating device, and the evaluation target QRS group determining means of the extra contraction discriminating device is obtained from the electrocardiographic data. When the measurement state of the R wave is normal, the QRS group including the R wave whose measurement state is normal is determined as the evaluation target QRS group to be evaluated, and the extra contraction candidate determination of the extra contraction discriminating device is determined. It means the evaluation object QRS complex and the adjacent QRS complex adjacent to the evaluation object QRS complex in time is, whether it is in the range of sinus rhythm with is a QRS complex occurs in the past, as well as the evaluation object QRS complex and Based on whether or not the adjacent QRS complex occurs within the range that the heart can physiologically take, it is determined whether or not the evaluation target QRS complex is a candidate for extraconstriction.

In the sixth aspect of the present invention, in the fifth aspect, the type determination means of the extra systole discriminating device determines the type of extra systole indicated by the evaluation target QRS group determined to be the extra systole candidate. you.

In the seventh aspect of the present invention, in the fifth aspect, the extra systole candidate determination means of the extra systole discriminating device is such that the evaluation target QRS complex is outside the predetermined sinus rhythm range and the adjacent QRS complex is said. If you are occurring within a predetermined time with respect to the evaluation target QRS complex, it determined that the evaluation object QRS complex is the extrasystole candidates.

An eighth aspect of the present invention, in the sixth embodiment, the normal QRS complex determination means of the extrasystole discriminating device, said evaluation object QRS complex is determined whether a normal QRS complex, the extrasystole the type discrimination means discriminating device, based on whether the evaluation object QRS complex is determined to the normal QRS complex, to determine the type of extrasystoles represented by the evaluation object QRS complex.

Ninth aspect of the present invention is a program for executing the extrasystole determination method according to any one aspect fifth aspect to the eighth aspect.

In short, according to the present invention, it is possible to provide an extra systole discriminating device, an extra systole discriminating method and a program capable of discriminating an extra systole after discriminating between a measurement abnormal state and a normal measurement state. ..

It is a figure which shows the structure of the extra systole determination system which concerns on embodiment of this invention. It is a flowchart for demonstrating the operation of the extra systole determination system 10 which concerns on embodiment of this invention. It is a figure which shows the relationship between the evaluation state of two R waves extracted by the R wave extraction unit 21 and the evaluation value. It is a figure which shows an example of the instantaneous heart rate recalculation of the measurement state evaluation unit 22. It is a figure which shows the relationship between R wave and RRI. It is a figure which shows an example of an extra systole. It is a figure which shows the QRS complex seen in the supraventricular extrasystole. It is a figure which shows the QRS complex seen in the ventricular extrasystole. It is a figure which shows the electrocardiographic data which has an artifact and noise.

Hereinafter, the extra systole discriminating device according to the embodiment of the present invention will be described with reference to the drawings.

The extra systole discriminating device of the present embodiment discriminates the measurement state of the electrocardiogram, and then evaluates the validity of the occurrence time of the QRS complex for the QRS complex detected in a situation where there is no measurement abnormality such as an artifact. This is characterized by realizing extrasystole discrimination by a wearable electrocardiograph. When discriminating between ventricular extrasystoles and supraventricular extrasystoles, the validity of the shape is also evaluated in addition to the occurrence time of the QRS complex.

FIG. 1 is a diagram showing a configuration of an extra systole determination system according to an embodiment of the present invention. As shown in the figure, the extra systole determination system 10 includes an electrocardiographic measurement unit 11 and an extra systole determination device 12.

As an example, in the extra systole determination system 10, the electrocardiographic measurement unit 11 is a wearable device that can be worn by a subject (user), and the extra systole determination device 12 is a computer such as a smartphone, a tablet terminal, or a personal computer (PC). It is realized by the system as a device. For example, a computer device includes a processor such as a CPU (Central Processing Unit), a memory connected to the processor, and a communication interface for communicating (for example, wirelessly) with the electrocardiographic measuring unit 11.

The embodiment of the extra systole determination system 10 is not limited to this example. For example, the extra systole determination system 10 may be realized as one device. Further, the electrocardiographic measurement unit 11 may be provided outside the extra systole determination system 10. In other words, the extra systole determination system 10 may acquire the result of measuring the electrocardiogram of the subject from an external electrocardiographic measuring device corresponding to the electrocardiographic measuring unit 11.

The electrocardiographic measurement unit 11 measures the electrocardiogram of the subject and sends the measurement result to the R wave extraction unit 21. The electrocardiogram is a biological signal of the circulatory system, including, for example, a periodic signal synchronized with the contraction of the ventricles. The electrocardiographic measurement unit 11 measures the electrocardiogram with at least two electrodes. The measurement result includes time series data capable of extracting an electrocardiogram corresponding to an R wave in an electrocardiogram. For example, the measurement result includes time series data of the electrocardiogram. The electrocardiographic measurement unit 11 only needs to be able to measure the electrocardiogram equivalent to the R wave, and the embodiment thereof does not matter. For example, the electrocardiographic measurement unit 11 includes a Holter electrocardiograph.

The extra systole determination device 12 includes an R wave extraction unit 21, a measurement state evaluation unit 22, a QRS complex shape evaluation unit 23, a QRS complex occurrence time evaluation unit 24, and an extra systole determination unit 25. As for the functional blocks of the electrocardiographic measurement unit 11, the R wave extraction unit 21, and the measurement state evaluation unit 22, another existing technique may be used.

The functions of the R wave extraction unit 21, the measurement state evaluation unit 22, the QRS complex shape evaluation unit 23, the QRS complex occurrence time evaluation unit 24, and the extra systole determination unit 25 are, for example, a program in which the processor is stored in the memory. It is realized by reading and executing. Note that some or all of these functions may be realized by a circuit such as an application specific integrated circuit (ASIC).

The R wave extraction unit 21 analyzes the time series data of the electrocardiogram measured by the electrocardiogram measurement unit 11 and extracts the R wave. In the embodiment, the specific method for extracting the R wave does not matter. When it is necessary for the subsequent processing, the information related to the extracted R wave may be recorded in the R wave related information recording unit (not shown). The R wave related information recording unit records information related to the R wave extracted by the R wave extraction unit 21. In the embodiment, no specific recording method is specified.

The measurement state evaluation unit 22 evaluates the measurement state of the electrocardiogram based on the information of the electrocardiogram measurement unit 11, the R wave-related information recording unit, the instantaneous heartbeat information recording unit (not shown), and the like. Here, the instantaneous heartbeat information recording unit records the instantaneous heartbeat. Although the specific recording format is not particularly specified, for example, a matrix of instantaneous heartbeats and a data matrix composed of the time information of the first R wave constituting the instantaneous heartbeat and the instantaneous heartbeat can be considered. The instantaneous heartbeat information recording unit is not an essential function in the embodiment. The measurement state evaluation unit 22 may be any method as long as it can discriminate between a portion that does not include an artifact and can be measured normally and a measurement abnormality such as an artifact, and the method for realizing the measurement is not specifically specified in the embodiment.

The QRS complex shape evaluation unit 23 evaluates the shape of the QRS complex only for the R wave detected in the normal measurement state as a result of the evaluation of the measurement state of the measurement state evaluation unit 22. The specific processing will be described later. The QRS complex shape evaluation unit 23 is not necessarily essential in the embodiment, but in the subsequent extra systole determination unit 25, the supraventricular extra systole shown in FIG. 7 and the ventricular extra systole shown in FIG. 8 It is an indispensable function when you want to distinguish.

The QRS complex occurrence time evaluation unit 24 evaluates the occurrence time of the QRS complex only for the R wave detected in the normal measurement state as a result of the measurement state evaluation unit 22. The specific processing will be described later.

The extra systole determination unit 25 determines the extra systole based on the information of the QRS complex shape evaluation unit 23 and the QRS complex occurrence time evaluation unit 24. The specific processing will be described later.

Next, the operation of the extra systole determination system 10 according to the embodiment of the present invention will be described with reference to the flowchart of FIG.

In this embodiment, the electrocardiographic data acquired in advance by the electrocardiographic measurement unit 11 is targeted, and the case where the extra systole discriminating device 12 executes the target electrocardiographic data offline will be described as an example. It may be realized by a method other than this. For example, all the processes described below may be sequentially processed online, or only a part may be online and the others may be offline.

First, the electrocardiographic measurement unit 11 measures the subject's electrocardiogram and sends time-series electrocardiogram data for the subject's electrocardiogram to the R wave extraction unit 21 (S1). The R wave extraction unit 21 extracts an R wave from the time-series electrocardiographic data measured by the electrocardiographic measurement unit 11 (S2).

The measurement state evaluation unit 22 evaluates the measurement state of the electrocardiographic data of the target electrocardiogram. In the embodiment, it is determined whether or not the extracted R wave is an artifact based on the evaluation criteria (see References [i] and [ii]), and the R wave determined not to be an artifact is regarded as a normal measurement state. .. If necessary, the electrocardiographic data from the electrocardiographic measurement unit 11 may be input to the measurement state evaluation unit 22. In the embodiment, for example, among the R waves detected by the R wave extraction unit 21, those having a voltage value of 4.0 [mV] or more are regarded as measurement abnormality artifacts.

The measurement state evaluation unit 22 evaluates an instantaneous heartbeat composed of two adjacent R waves based on the measurement state applied to each R wave. When considering the two types of normal measurement state and artifact, the combination of R waves constituting the instantaneous heartbeat is one of "normal-normal", "normal-artifact", "artifact-normal", and "artifact-artifact". In the embodiment, a “normal-normal” QRS complex is sent out as an evaluation target of the QRS complex shape evaluation unit 23 (S3).

FIG. 3 is a diagram showing the relationship between the evaluation state of the two R waves extracted by the R wave extraction unit 21 and the evaluation value. As shown in the figure, when it is determined that both R waves extracted by the R wave extraction unit 21 are in the normal measurement state, the evaluation value in the measurement state evaluation unit 22 is "1". Become. When it is determined that one of the R waves extracted by the R wave extraction unit 21 is in a normal measurement state and the other is an artifact, the "evaluation value" is "0.5". When both R waves extracted by the R wave extraction unit 21 are artifacts, the "evaluation value" is "0".

This evaluation is just an example, and if the artifact can be finally excluded from the evaluation target, "normal-artifact" or "artifact-normal" may be included in the target.

Further, the measurement state evaluation unit 22 may perform an instantaneous heartbeat recalculation process as an optional process for the QRS group to be evaluated.

Specifically, the measurement state evaluation unit 22 recalculates the instantaneous heartbeat based on the evaluation result in the measurement state evaluation unit 22. FIG. 4 is a diagram showing an example of instantaneous heartbeat recalculation of the measurement state evaluation unit 22 according to the embodiment of the present invention.

Further, in the instantaneous heartbeat recalculation, the R wave determined as an artifact in the two adjacent R waves constituting the instantaneous heartbeat evaluated to correspond to any of # 2, # 3 and # 4 shown in Table 1. Is rejected, and only the remaining R waves determined to be in the normal measurement state are used to construct an instantaneous heartbeat which is two adjacent R waves.

In the example shown in FIG. 2, the R wave before recalculation has the R wave numbers “1” and “2” “R (normal measurement state)” and the R wave number “3” “3” in chronological order. "A (artifact)", "R" of R wave number "4", "R" of R wave number "5", "6", "7", "R" of R wave number "8", "9" It is an R wave determined to be.
On the other hand, in the instantaneous heart rate recalculation, the R wave determined to be "A" of the R wave numbers "3", "5", "6", and "7" is rejected, and the remaining R wave number "1". , "2", "4", "8", "9" using the R wave determined to be "R", the first instantaneous heartbeat (adjacent, R wave number "1", "2" (Composed of two R waves corresponding to), second instantaneous heartbeat (adjacent, composed of two R waves corresponding to R wave numbers "2" and "4"), and third instantaneous heartbeat (adjacent) (Composed of two R waves corresponding to R wave numbers "4" and "8"), and a fourth instantaneous heartbeat (adjacent, two R waves corresponding to R wave numbers "8" and "9") Consists of). After these recalculations, the instantaneous heartbeat evaluation unit 25 evaluates the instantaneous heartbeat measurement state only in "# 1 (both are normal measurement states)" shown in Table 1.

The QRS complex shape evaluation unit 23 evaluates the validity of the shape of the QRS complex transmitted from the measurement state evaluation unit 22 (S4). Specifically, it suffices if the normal QRS complex shown in FIG. 7 and the abnormal QRS group different from FIG. 7 shown in FIG. 8 can be discriminated.

In the embodiment, the Q wave and the S wave in the R wave detected by the "R wave extraction unit" are calculated, and the one in which the duration of the QRS group falls within the normal value range is the "normal QRS group" and the normal range. Those exceeding the above are regarded as "abnormal QRS complex". Note that this evaluation method is merely an example, and another method may be used as long as the QRS complex shown in FIGS. 7 and 8 can be discriminated.
The QRS complex occurrence time evaluation unit 24 evaluates the validity of the occurrence time of the QRS complex (S5). In the embodiment, it is determined whether the evaluation target QRS complex is an extra systole candidate based on the adjacent QRS complex temporally adjacent to the evaluation target QRS complex. Specifically, is the QRS complex to be evaluated and the QRS complex before and after the QRS complex to be evaluated temporally adjacent to each other within the sinus rhythm range of the QRS complex that occurred in the past? , Evaluate whether the QRS complex to be evaluated and the QRS complex before and after it occur within the range that the heart can physiologically take. As a result of these two evaluations, the QRS complex that is out of the range of sinus rhythm and occurs within the range that the heart can physiologically take is judged as an "extra systole candidate".

In the embodiment, these criteria are not specifically specified, but for example, the range of mean ± n × standard deviation is set as sinus rhythm, and values that do not fall within that range are extracted, and then the mean −n × standard. It is conceivable that the QRS complex that occurs below the deviation is targeted, and those that occur at intervals of 250 [msec] or more corresponding to the maximum heart rate are judged as “extra systole candidates”. Here, when the fluctuation of the RRI to be evaluated exceeds the average + n × standard deviation, even if the RRI to be evaluated is determined not as an “extra systole candidate” but as a measurement abnormality RRI. good.

The extra systole determination unit 25 evaluates the extra systole based on the results of the QRS complex shape evaluation unit 23 and the QRS complex occurrence time evaluation unit 24 (S6). When only the QRS complex occurrence time evaluation unit 24 is used, the one determined as "extra systole candidate" in S5 is determined as "extra systole".

When using the two pieces of information of the QRS complex shape evaluation unit 23 and the QRS complex occurrence time evaluation unit 24, the determination result of S4 of the QRS group determined as "extra systole candidate" in S5 is referred to. "Extrasystole candidate" in S5 and "normal QRS complex" in S4 is "supraventricular extrasystole", "extrasystole candidate" in S5 and "abnormal QRS complex" in S4 Is determined to be "ventricular extrasystole".

Regarding the determination of "supraventricular extrasystole", if the electrocardiographic measurement unit 11 can measure the P wave, a more detailed determination is made based on the presence or absence of the P wave corresponding to the QRS complex. Is also good. For example, if there is a P wave in what is determined to be "supraventricular extrasystole", it may be determined to be "atrial extrasystole", and if there is no P wave, it may be determined to be "atrial junction extrasystole". ..

Therefore, according to the extra systole discriminating device of the present embodiment, the measurement state evaluation unit 22 excludes the RRI including the measurement abnormality R wave from the evaluation target, so that the electrocardiogram acquired by the wearable electrocardiograph is targeted. Abnormality evaluation can be made possible.

Further, by determining the extra systole based on the result of the QRS complex occurrence time evaluation unit 24, it is possible to discriminate between an artifact having a small potential such as an EMG artifact and an extra systole.

Further, by evaluating the shape of the QRS complex by the QRS complex shape evaluation unit 23 in addition to the QRS complex occurrence time evaluation unit 24, it is possible to discriminate between the supraventricular extrasystole and the ventricular extrasystole.

The present invention is not limited to the above-described embodiment as it is, and at the implementation stage, the components can be modified and embodied without departing from the gist thereof. In addition, various inventions can be formed by an appropriate combination of a plurality of components disclosed in the above-described embodiment. For example, some components may be removed from all the components shown in the embodiments. In addition, components from different embodiments may be combined as appropriate.
References i) Jun Okude, you know this! Easy Point ECG 2nd Edition, Igaku-Shoin, 2011
ii) Shigeyuki Watanabe et al., How to read an electrocardiogram Perfect Manual, Yodosha, 2006
iii) Hiroshi Inoue, Cardiovascular Disease and Autonomic Nervous Function 2nd Edition, Igaku-Shoin, 2001
iv) Nihon Kohden, Mechanism and Countermeasures for Noise Mixing: Points for Recording a Clean ECG-Holter ECG- (Confirmed on March 23, 2017)
http: // www. nihon kohden. co. jp / iryo / point / halter / medical. html
v) National Cardiovascular Research Center Cardiovascular Information Service, Scary Arrhythmia and Non-Scary Arrhythmia,
(Confirmed on March 23, 2017)
http: // www. ncvc. go. jp / cvdinfo / pamphlet / heart / pamphlet 06. html

10 ... Extra systole determination system, 11 ... Electrocardiographic measurement unit, 12 ... Extra systole determination device, 21 ... R wave extraction unit, 22 ... Measurement state evaluation unit, 23 ... QRS group shape evaluation unit, 24 ... QRS complex occurrence Time evaluation unit, 25 ... Extra systole determination unit.

Claims (9)

When the measurement state of the R wave obtained from the electrocardiographic data is normal, the evaluation target QRS group determining means for determining the QRS group including the R wave whose measurement state is normal as the evaluation target QRS group to be evaluated. ,
The evaluation object QRS complex and the adjacent QRS complex adjacent to the evaluation object QRS complex in time is, whether it is in the range of sinus rhythm with is a QRS complex occurs in the past, as well as the evaluation object QRS group and the adjacent QRS An extra systole candidate determination means for determining whether or not the evaluation target QRS complex is an extra systole candidate based on whether or not the group occurs within the range that the heart can physiologically take .
An extra systole discriminating device comprising. Further provided with a type discriminating means for discriminating the type of extra systole indicated by the evaluation target QRS group determined to be the extra systole candidate.
The extra systole discriminating device according to claim 1. The extra systole candidate determination means
When the evaluation target QRS complex is out of the predetermined sinus rhythm range and the adjacent QRS complex occurs within a predetermined time with respect to the evaluation target QRS complex, the evaluation target QRS complex causes the extra systole. Judge as a candidate,
The extra systole discriminating device according to claim 1. Further provided with a normal QRS group determination means for determining whether or not the evaluation target QRS group is a normal QRS group.
The type determination means
The type of extra systole indicated by the evaluation target QRS complex is determined based on whether or not the evaluation target QRS complex is determined to be the normal QRS group.
The extra systole discriminating device according to claim 2. This method is applied to extra systole discriminators.
The evaluation target QRS group determination means of the extra systole discriminating device is
When the measurement state of the R wave obtained from the electrocardiographic data is normal, the QRS group including the R wave whose measurement state is normal is determined as the evaluation target QRS group to be evaluated.
The extra systole candidate determination means of the extra systole determination device
The evaluation object QRS complex and the adjacent QRS complex adjacent to the evaluation object QRS complex in time is, whether it is in the range of sinus rhythm with is a QRS complex occurs in the past, as well as the evaluation object QRS group and the adjacent QRS It is determined whether or not the QRS complex to be evaluated is a candidate for extrasystole based on whether or not the group occurs within the range that the heart can physiologically take .
Extra systole determination method. The type discrimination means of the extra systole discriminating device is
The type of extra systole indicated by the evaluation target QRS complex determined to be the extra systole candidate is determined.
The extrasystole determination method according to claim 5. The extra systole candidate determination means of the extra systole determination device
When the evaluation target QRS complex is out of the predetermined sinus rhythm range and the adjacent QRS complex occurs within a predetermined time with respect to the evaluation target QRS complex, the evaluation target QRS complex causes the extra systole. Judge as a candidate,
The extrasystole determination method according to claim 5. The normal QRS group determination means of the extra systole determination device
It is determined whether or not the evaluation target QRS group is a normal QRS group, and the evaluation target QRS group is determined.
The type discrimination means of the extra systole discriminating device
The type of extra systole indicated by the evaluation target QRS complex is determined based on whether or not the evaluation target QRS complex is determined to be the normal QRS group.
The extrasystole determination method according to claim 6. A program for causing a computer to execute the extra systole determination method according to any one of claims 5 to 8.