KR102218414B1 - Vital signal verification apparatus, vital signal measurement apparatus and vital signal verification method - Google Patents

Abstract

In the present invention, it is possible to determine whether the heart rate signal is accurately measured from a non-contact-measured biological signal whose measurement power varies greatly depending on the measurement position and angle, and the heart rate signal is included in the biological signal measured for heart disease patients such as arrhythmia. A bio-signal verification device, a bio-signal measuring device, and a living body thereof that can improve the quality of services such as remote medical services or home healthcare services based on self-diagnosis by making it easy to check whether or not there is an arrhythmia in real time. A signal verification method can be provided.

Description

Bio-signal verification device, bio-signal measuring device, and bio-signal verification method thereof {VITAL SIGNAL VERIFICATION APPARATUS, VITAL SIGNAL MEASUREMENT APPARATUS AND VITAL SIGNAL VERIFICATION METHOD}

The present invention relates to a bio-signal verification device, a bio-signal measuring device, and a bio-signal verification method thereof, and to a bio-signal verification device capable of verifying a heartbeat signal measured in a non-contact manner, a bio-signal measuring device, and a bio-signal verification method thereof. will be.

Conventionally, in order to measure a vital signal, particularly a heart rate signal, an electrocardiogram test has been mainly performed to analyze a heartbeat waveform obtained by attaching an electrode to the skin for a certain period of time. In an electrocardiogram, since a patient visits a hospital and an expert such as a doctor directly checks the heartbeat waveform to determine whether or not there is an arrhythmia, it may be a burden on the patient in terms of time and cost. In addition, since the electrode is attached to the skin, it is difficult to use it for patients with sensitive skin, such as newborns and burn patients, and it is not easy to perform tests during daily life.

Therefore, there is a need for a method of measuring a non-contact heart rate signal that can easily diagnose a subject's arrhythmia during daily life.

Accordingly, many studies have been conducted on non-contact heart rate measurement. In the case of non-contact heart rate measurement, it is easy to determine the presence or absence of a heart rate signal because it is easy to analyze the signal in the frequency domain or in the time domain in the case of people with a constant heart rate, but in the case of people with arrhythmia, the heart rate is irregular and it is difficult to determine the presence or absence of a heart rate signal. There is a limit.

Korean Patent Publication No. 10-2014-0106795 (published on 2014.09.04.)

An object of the present invention is to provide a bio-signal verification device, a bio-signal measuring device, and a bio-signal verification method thereof capable of determining whether a heartbeat signal measured in a non-contact manner is accurately measured.

Another object of the present invention is to provide a bio-signal verification device, a bio-signal measuring device, and a bio-signal verification method thereof capable of determining whether a heart rate signal is accurately measured from a bio-signal measured for a patient with heart disease such as arrhythmia.

In order to achieve the above object, the biosignal verification apparatus according to an embodiment of the present invention receives a frequency biosignal in which a received signal in a time domain obtained by a radar-based biosignal measurement device is converted into a frequency domain, and receives the frequency biosignal. A frequency section dividing unit that divides the signal into a breathing region, a heartbeat region, and a noise region according to a predetermined frequency section; A peak comparison unit configured to determine abnormal measurement when the power ratio of the respiration peak signal as a peak signal in the breathing region and the heart rate peak signal as the peak signal in the heart rate region is less than a predetermined first threshold value; When the power ratio of the peak signal is greater than or equal to the first threshold value, a ratio of the average power in the heartbeat region and the average power in the noise region is compared with a predetermined second threshold value, and if the power ratio is greater than or equal to the second threshold value, A power comparison unit that determines that it has been measured normally; And if the ratio of the average power is less than the predetermined second threshold, comparing the sum of the powers of the harmonic components of the heartbeat signal and the powers of the remaining signals with a predetermined third threshold, and if it is less than the third threshold, A harmonic analysis unit that determines that it has been measured normally; Includes.

If the bio-signal verification device is less than the third threshold, it is determined whether the signal-to-noise ratio calculated as a ratio of the average signal power in the frequency range determined around the heartbeat frequency and the total signal power in the noise region is greater than or equal to the fourth threshold value. Thus, if the fourth threshold value or more, the SNR analysis unit to determine that the normal measurement; It may further include.

The bio-signal verification device receives an autocorrelation signal of a received signal for an impulse signal periodically radiated from the radar-based bio-signal measurement device, and based on the periodic pattern of the autocorrelation signal, the A motion determination unit that determines whether or not the subject has moved, and determines that the subject has been abnormally measured; It may further include.

A biological signal measuring apparatus according to another embodiment of the present invention for achieving the above object comprises: a signal generator for generating a signal of a predetermined waveform; A transmission antenna for radiating a signal generated by the signal generator; A reception antenna for receiving a reception signal from which the signal radiated from the transmission antenna is reflected; A signal processor for converting the received signal in a time domain into a signal in a frequency domain to obtain a frequency biosignal; And a biological signal for determining whether the biological signal is normally measured by dividing the frequency biological signal into a breathing region, a heart rate region, and a noise region according to a predetermined frequency section, and comparing the signals in the separated breathing region, the heart rate region, and the noise region. Verification unit; Includes.

In order to achieve the above object, a biosignal verification method according to another embodiment of the present invention includes the steps of: receiving a frequency biosignal in which a received signal in a time domain obtained by a radar-based biosignal measuring device is converted into a frequency domain; Dividing the frequency biological signal into a breathing region, a heartbeat region, and a noise region according to a predetermined frequency section; The power ratio of the peak signal, which is the peak signal in the breathing region, and the peak signal, which is the peak signal, in the heart rate region, is compared with a predetermined first threshold value, and if the power ratio is less than the first threshold value, the measurement is abnormal. Determining; When the power ratio of the peak signal is greater than or equal to the first threshold value, a ratio of the average power in the heartbeat region and the average power in the noise region is compared with a predetermined second threshold value, and if the power ratio is greater than or equal to the second threshold value, Determining that it has been measured normally; And if the ratio of the average power is less than the predetermined second threshold, comparing the sum of the powers of the harmonic components of the heartbeat signal and the powers of the remaining signals with a predetermined third threshold, and if it is less than the third threshold, Determining that it has been measured normally; Includes.

Therefore, in the biosignal verification device, the biosignal measurement device, and the biosignal verification method according to an embodiment of the present invention, the heart rate signal is accurately measured from the non-contact-measured biosignal in which the measurement power varies greatly depending on the measurement position and angle. Make it possible to determine whether or not. In particular, it is possible to easily check whether a heart rate signal is included in a vital signal measured for a patient with heart disease such as arrhythmia, so that arrhythmia can be detected in real time. Therefore, it is possible to improve service quality such as telemedicine service or home health care service based on self-diagnosis.

1 shows a schematic structure of a physiological signal measuring apparatus including a physiological signal verification apparatus according to an embodiment of the present invention.
2 shows an example of a detailed structure of the biosignal verification unit of FIG. 1.
3 to 5 show examples of biosignals in the time domain and the frequency domain, respectively.
6 shows a biosignal verification method according to an embodiment of the present invention.

In order to fully understand the present invention, the operational advantages of the present invention, and the objects achieved by the implementation of the present invention, reference should be made to the accompanying drawings illustrating preferred embodiments of the present invention and the contents described in the accompanying drawings.

Hereinafter, the present invention will be described in detail by describing a preferred embodiment of the present invention with reference to the accompanying drawings. However, the present invention may be implemented in various different forms, and is not limited to the described embodiments. In addition, in order to clearly describe the present invention, parts irrelevant to the description are omitted, and the same reference numerals in the drawings indicate the same members.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components unless specifically stated to the contrary. In addition, terms such as "... unit", "... group", "module", and "block" described in the specification mean units that process at least one function or operation, which is hardware, software, or hardware. And software.

1 shows a schematic structure of a biosignal measuring apparatus including a biosignal verification apparatus according to an embodiment of the present invention, and FIG. 2 shows an example of a detailed structure of a biosignal verification unit of FIG. 1, and FIGS. 3 to 5 Represents an example of a biosignal in the time domain and the frequency domain, respectively.

Since the biosignal verification device is configured to verify the biosignal measured by the biosignal measurement device, it may be configured separately from the biosignal measurement device, but is usually included in the biosignal measurement device, and thus also in FIG. A case in which the verification device 100 is included in the biosignal measuring device and configured is illustrated.

That is, FIG. 1 shows an example of a non-contact bio-signal measuring device 100 including a bio-signal verification device, and also shows a schematic structure of a radar-based bio-signal measuring device 100 as an example. In particular, it is assumed here that the non-contact bio-signal measuring device 100 is an IR-UWB (Impulse Radio Ultra Wide-Band) radar-based bio-signal measuring device.

The IR-UWB radar operates by transmitting a short impulse signal with a width of tens of nano/pico units at the speed of light to determine the existence and distance of an object by using the temporal difference between the received signal and the transmitted signal reflected by the object. . And because the transmission power is very small, it can be implemented with low power, low cost, and small size, and it is strong against narrow-band interference by using a broadband, and because the spectrum of the signal shows a similar noise form, security is also improved.

The IR-UWB radar-based bio-signal measuring device 100 uses an IR-UWB radar to radiate an impulse signal to the subject to detect the position of the subject, and then measure minute movements of the body due to respiration and heartbeat. have.

Referring to FIG. 1, the radar-based bio-signal measuring apparatus 100 according to the present embodiment includes a control unit 110, a signal generator 120, a transmitting antenna 130, a receiving antenna 140, and a signal processing unit 150. And a biosignal verification unit 160.

The control unit 110 controls the signal generation unit 120 in response to a user command to generate a signal to be emitted, and receives and analyzes the result of the biometric signal verified by the biosignal verification unit 160 to be measured and verified. Information on the subject's state is acquired based on the generated biosignal. For example, the controller 110 may obtain information on the subject's respiration and heart rate, and may also obtain information on whether or not the subject's arrhythmia.

The signal generator 120 generates a signal of a predetermined waveform under the control of the controller 110 and transmits the generated signal to the transmission antenna 130. When the radar-based bio-signal measuring apparatus uses IR-UWB, the signal generator 120 may generate an impulse signal, for example. In IR-UWB radar, the shorter the pulse period, the more information can be included.According to the FCC definition, a pulse signal with a pulse width of only a few ns is generated, and the bandwidth exceeds 500 MHz or the bandwidth is 20% compared to the center frequency. In the case of exceeding the UWB radar, the signal generator 120 may generate an impulse signal suitable for this definition.

The transmitting antenna 130 may radiate an impulse signal generated by the signal generator 120 to the outside, and at this time, the impulse signal may be radiated to a preset area. Here, as an example, it is assumed that the transmission antenna 130 radiates an impulse signal near the carotid artery of the subject.

The signal generator 120 and the transmission antenna 130 may be viewed as a transmitter of the radar-based bio-signal measuring apparatus 100.

The reception antenna 140 may receive a reflected signal from which a signal radiated from the transmission antenna 130 is reflected to the subject as a reception signal, and an ultra-wideband antenna having high directivity may be used.

In FIG. 1, for convenience of explanation, the transmit antenna 130 and the receive antenna 140 are separately divided, but in some cases, the transmit antenna 130 and the receive antenna 140 may be integrated into a transmit/receive antenna.

The signal processing unit 150 receives the received signal received by the receiving antenna 140 and processes the signal in a known manner to obtain a biosignal. In the IR-UWB radar-based bio-signal measuring apparatus 100, the signal processing unit 150 receives received through the receiving antenna 140 in response to each of a plurality of impulse signals periodically radiated through the receiving antenna 140, for example. The signals may be divided for each reception time period, and the received signals for each divided time period may be converted into a frequency domain signal.

When the impulse signal is radiated from the transmitting antenna 130, the radiated signal is reflected at various locations and incident on the received signal at different times according to the reflected distance. Accordingly, the signal processing unit 150 distinguishes a received signal for each impulse signal by classifying a received signal obtained between time intervals of a plurality of impulse signals periodically radiated from the transmitting antenna 130.

In some cases, when the signal processing unit 150 is configured not to determine the timing of emission of the impulse signal, the signal processing unit 150 acquires an auto-correlation signal for the received signal and determines the periodicity of the received signal. , It is possible to distinguish received signals for each impulse signal. In addition, an autocorrelation signal may be obtained to determine the subject's motion.

Here, the received signal divided into each impulse signal is referred to as a fast time signal, and a signal obtained by extracting a signal for the same specified time interval from each of a plurality of fast time signals acquired for a plurality of impulses is referred to as a slow time biosignal. . That is, since the slow-time bio-signal extracts a signal for the same specified time interval from each of a plurality of fast-time signals, it can be viewed as a set of received signals reflected from a predetermined distance interval among the received signals for a plurality of impulse signals. .

In addition, the signal processing unit 150 converts the slow time bio-signal into a bio-signal in the frequency domain. The signal processing unit 150 may obtain a biosignal in a frequency domain by performing Fast Fourier Transform on a slow time biosignal, for example.

In FIGS. 3 to 5, (a) represents a slow time biosignal, and (b) represents a biosignal in a frequency domain.

Here, the receiving antenna 140 and the signal processing unit 150 may be regarded as receiving units of the radar-based bio-signal measuring apparatus 100.

The biosignal verification unit 160 is a biosignal verification apparatus according to the present embodiment, and verifies whether a heartbeat signal is normally measured from the biosignal by analyzing a biosignal in a frequency domain obtained by the signal processing unit 150.

In general, when a radar signal such as IR-UWB is radiated to a subject and a biological signal is measured from a received signal, respiration is the largest and the heart rate is not easy to measure. However, as described above, when the measurement is performed near the carotid artery of the subject, since the heart rate is measured to be larger than that of respiration, there is an advantage in that it is easy to measure the heart rate. However, when measurement is performed near the carotid artery, the measurement power of the heart rate signal varies greatly according to the measurement angle, and there is a difference in the angle at which the heart rate signal is largely measured for each person.

Accordingly, it is necessary for the biosignal verification unit 160 to determine whether or not the heartbeat signal normally appears in the measured biosignal. In addition, the biosignal verification unit 160 should be able to check whether the heartbeat signal is measured even for a patient whose heartbeat signal is irregular due to arrhythmia or the like.

Referring to FIG. 2, the biosignal verification unit 160 includes a motion determination unit 161, a frequency section classification unit 162, a peak comparison unit 163, a power comparison unit 164, a harmonic analysis unit 165, An SNR analysis unit 166 and a verification result determination unit 167 may be included.

The motion determination unit 161 first determines whether or not there is a motion of the subject. The IR-UWB radar-based bio-signal measuring device 100 has the advantage of being able to measure bio-signals such as respiration and heart rate, but is vulnerable to minute movements, so it is not possible to measure bio-signals due to the movement of the subject. Distortion may occur. Accordingly, the motion determination unit 161 first determines whether the subject is moving, and verifies whether the biological signal is normal. Here, the motion determination unit 161 may determine whether the subject is moving by analyzing the periodicity of the autocorrelation signal of the received signal, for example.

In some cases, the function of the motion determination unit 161 to determine whether the subject is moving may be performed through other means, and in this case, the motion determination unit 161 may be excluded from the biosignal verification unit 160. For example, the controller 110 may determine the subject's movement through other means.

And if it is determined that there is no movement of the subject as a result of the determination, the frequency section classifying unit 162 classifies the frequency section for each predetermined section from the biosignal in which the slow time biosignal is converted to the frequency domain.

The slow-time bio-signal contains components due to various noises in addition to components by respiration and components by heart rate, and respiration and heart rate components can be easily distinguished in the frequency domain. For example, the frequency section classifying unit 162 may divide a low frequency of 10 to 30 bpm (beats per minute) into a breathing area, and 45 to 110 bpm may be divided into a heart rate area. In addition, a high frequency region of 110 bpm or more may be classified as a noise region.

That is, the frequency section classifying unit 162 divides the biological signal in the frequency domain into a predetermined breathing area, a heart rate area, and a noise area, so that the breathing signal, the heart rate signal, and the noise signal can be roughly distinguished from the biological signal.

Accordingly, in the biological signals in the frequency domain of (b) in FIGS. 3 to 5, the breathing area, the heart rate area, and the noise area are separated and displayed. Here, FIG. 3 shows the bio-signals measured when the subject is normal, and FIG. 4 shows the bio-signals measured when the subject is an arrhythmia patient, and FIG. 5 shows the bio-signals when the subject is normal but contains a large amount of noise. Show.

The peak comparison unit 163 extracts a peak signal from each of the breathing areas and the heart rate areas divided by the frequency section division unit 162, and calculates the power ratio of the breathing peak signal extracted from the breathing area and the heart rate peak signal extracted from the heart rate area. It is calculated, and it is determined whether the power ratio of the calculated peak signal is equal to or greater than a predetermined first threshold. As a result of the determination, if the power ratio of the peak signal is less than the predetermined first threshold, the biosignal verification unit 160 may determine that the heartbeat signal is not normally measured from the measured biosignal.

In the case of measuring the vicinity of the carotid artery as described above, as shown in FIG. 3(b), the component due to the heartbeat appears larger than that of respiration, so the first threshold may be set to a value of 1 or more as an example. . However, as shown in (b) of FIG. 4, since arrhythmia patients with irregular heartbeat should also be considered, the first threshold may be set to a value of 1 or less, and may be preset based on the results of various experiments. have.

On the other hand, if the power ratio of the peak signal is greater than or equal to the predetermined first threshold, the power comparison unit 164 calculates the ratio of the average power in the heartbeat region and the average power in the noise region, and the calculated average power ratio is It is determined whether it is equal to or greater than a predetermined second threshold. That is, it is determined whether the heart rate component appears larger than the noise component.

If the average power ratio is greater than or equal to the second threshold, it may be determined that the heartbeat signal is normally measured in the biosignal. However, if the average power ratio is less than the second threshold value, the harmonic analysis unit 165 analyzes a harmonic component of the heartbeat signal.

When the heartbeat signal is normally measured in the time domain, a harmonic component appears together with the heartbeat signal in the biosignal converted to the frequency domain, whereas the harmonic component does not appear in the noise signal. Therefore, when the heart rate signal is normally measured, a harmonic component appears together at a frequency corresponding to an integer multiple of the heart rate frequency, which is the peak frequency in the heart rate region.

Accordingly, the harmonic analysis unit 165 may analyze the power of the signal corresponding to the heartbeat frequency and an integer multiple of the heartbeat frequency to determine whether or not a harmonic component is present. For example, the heartbeat frequency and the signal corresponding to an integer multiple of the heartbeat frequency The presence or absence of a harmonic component may be determined by comparing a ratio of the sum of the powers and the powers of the remaining signals with a predetermined third threshold value.

If it is determined that the harmonic component is present, it is determined that the heartbeat signal has been measured normally. However, if it is determined that the harmonic component does not exist, the SNR analysis unit 166 compares the total signal power in the noise region with the average signal power in the predetermined frequency range around the heartbeat frequency, which is the peak frequency in the heartbeat region, The noise ratio is calculated, and it is determined whether the calculated signal-to-noise ratio is equal to or greater than a predetermined fourth threshold.

If the signal-to-noise ratio is greater than or equal to the predetermined fourth threshold, it is determined that the heartbeat signal is normally measured, and if the signal-to-noise ratio is less than the predetermined fourth threshold, it is determined that the heartbeat signal is not normally measured.

The verification result determination unit 167 is a heart rate signal according to the determination result of the motion determination unit 161, the peak comparison unit 163, the power comparison unit 164, the harmonic analysis unit 165, and the SNR analysis unit 166. It is determined whether or not is measured normally, and the determination result is transmitted to the control unit 110.

The control unit 110 may control the signal generator 120 or analyze information on whether or not respiration, heart rate, and arrhythmia in order to perform biosignal measurement again according to the determination result of the verification result determination unit 167. .

Although the biosignal verification unit 160 is separately illustrated above, the biosignal verification unit 160 may be included in the control unit 110 and configured. In some cases, the signal processing unit 150 may also be included in the control unit 110 and configured.

6 shows a biosignal verification method according to an embodiment of the present invention.

Referring to FIGS. 1 and 2, when the biosignal verification method of FIG. 6 is described, the biosignal verification apparatus 160 first acquires a biosignal (S11). Here, the biosignal verification apparatus 160 may obtain a frequency biosignal converted to a frequency domain, and in some cases, may also acquire a slow time biosignal in a time domain, and may obtain an autocorrelation signal for the received signal. You can also get it.

In addition, the biosignal verification apparatus 160 determines whether or not movement of the subject has occurred (S12). If it is determined that the subject's movement has occurred, it is determined that the biological signal has been abnormally measured (S18).

When the autocorrelation signal is obtained, the biosignal verification apparatus 160 may determine whether or not a motion of the subject has occurred from the obtained autocorrelation signal. However, when the bio-signal measuring apparatus 100 is configured to determine whether the subject's movement has occurred through a means other than an autocorrelation signal, the bio-signal verification apparatus 160 omits the step of determining whether the subject’s movement has occurred. can do.

On the other hand, when it is determined that the movement of the subject has not occurred, the biosignal verification apparatus 160 divides the frequency biosignal into a breathing area, a heartbeat area, and a noise area according to a predetermined frequency section (S13).

Then, it is determined whether the power ratio of the peak signal, which is the peak signal in the divided breathing region, and the heartbeat peak signal, which is the peak signal, in the heartbeat region, is greater than or equal to a predetermined first threshold (S14). If the power ratio of the peak signal is less than the predetermined first threshold, it is determined that the biological signal, especially the heart rate signal, has been abnormally measured (S18). However, if the power ratio of the peak signal is greater than or equal to the predetermined first threshold, the ratio of the average power in the heartbeat region and the average power in the noise region is calculated, and it is determined whether the calculated average power ratio is greater than or equal to a predetermined second threshold ( S15).

If the average power ratio is greater than or equal to the predetermined second threshold, it is determined that the biosignal has been measured normally (S19). However, if the average power ratio is less than the predetermined second threshold, the sum of the powers of the harmonic components of the heartbeat signal and the powers of the remaining signals is compared with the predetermined third threshold.

If the power ratio of the harmonic component is greater than or equal to the third threshold, it is determined that the biological signal has been measured normally (S19), and if the power ratio of the harmonic component is less than the third threshold, the average signal power of the frequency range determined around the heartbeat frequency The signal-to-noise ratio is calculated as the ratio of the total signal power of the noise region and it is determined whether the calculated signal-to-noise ratio is greater than or equal to a predetermined fourth threshold (S17).

If the signal-to-noise ratio is greater than or equal to the predetermined fourth threshold, it is determined that the biological signal has been measured normally (S19), and if the signal-to-noise ratio is less than the predetermined fourth threshold, it is determined that the biological signal has been measured normally (S18).

The method according to the present invention may be implemented as a computer program stored in a medium for execution on a computer. Here, the computer-readable medium may be any available medium that can be accessed by a computer, and may also include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, and ROM (Read Dedicated memory), RAM (random access memory), CD (compact disk)-ROM, DVD (digital video disk)-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

The present invention has been described with reference to the embodiments shown in the drawings, but these are merely exemplary, and those of ordinary skill in the art will appreciate that various modifications and other equivalent embodiments are possible therefrom.

Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

110: control unit 120: signal generation unit
130: transmit antenna 140: receive antenna
150: signal processing unit 160: biometric signal verification unit
161: motion discrimination unit 162: frequency section discrimination unit
163: peak comparison unit 164: power comparison unit
165: harmonic analysis unit 166: SNR analysis unit
167: verification result determination unit

Claims (10)

The received signal in the time domain obtained by the radar-based bio-signal measuring device is applied with a frequency bio-signal converted into a frequency domain, and the frequency bio-signal is divided into a breathing area, a heart rate area, and a noise area according to a predetermined frequency section. Frequency section division unit;
A peak comparison unit configured to determine abnormal measurement when the power ratio of the respiration peak signal as a peak signal in the breathing region and the heart rate peak signal as the peak signal in the heart rate region is less than a predetermined first threshold value;
When the power ratio of the peak signal is greater than or equal to the first threshold value, a ratio of the average power in the heartbeat region and the average power in the noise region is compared with a predetermined second threshold value, and if the power ratio is greater than or equal to the second threshold value, A power comparison unit that determines that it has been measured normally; And
If the ratio of the average power is less than the second threshold value, the sum of the power of the harmonic component of the heart rate signal and the power of the remaining signals are compared with the third threshold value, and if it is less than the third threshold value, normal A harmonic analysis unit that determines the measured value; Bio-signal verification device comprising a. The method of claim 1, wherein the biosignal verification device
If it is less than the third threshold, it is determined whether the signal-to-noise ratio calculated as a ratio of the average signal power in the frequency range determined around the heartbeat frequency and the total signal power in the noise region is greater than or equal to the fourth threshold value, and the fourth threshold If the value is more than the SNR analysis unit to determine that the normal measurement; Bio-signal verification device further comprising a. The method of claim 1, wherein the biosignal verification device
Receives an autocorrelation signal of a received signal for an impulse signal periodically radiated from the radar-based biosignal measuring device, and determines whether the subject has moved or not based on the periodic pattern of the autocorrelation signal to determine that the subject has moved If so, the motion determination unit to determine that the abnormal measurement; Bio-signal verification device further comprising a. A signal generator for generating a signal of a predetermined waveform;
A transmission antenna for radiating a signal generated by the signal generator;
A reception antenna for receiving a reception signal from which the signal radiated from the transmission antenna is reflected;
A signal processor for converting the received signal in a time domain into a signal in a frequency domain to obtain a frequency biosignal; And
Biosignal verification that divides the frequency biosignal into a breathing area, a heartbeat area, and a noise area according to a predetermined frequency section, and compares the signals in the separated breathing area, heart rate area, and noise area to determine whether or not the biosignal is normally measured. part; Bio-signal measuring device comprising a. The method of claim 4, wherein the biosignal verification unit
A frequency section dividing unit that divides the frequency biological signal into a breathing area, a heartbeat area, and a noise area according to a predetermined frequency section;
A peak comparison unit configured to determine abnormal measurement when the power ratio of the respiration peak signal as a peak signal in the breathing region and the heart rate peak signal as the peak signal in the heart rate region is less than a predetermined first threshold value; And
When the power ratio of the peak signal is greater than or equal to the first threshold value, a ratio of the average power in the heartbeat region and the average power in the noise region is compared with a predetermined second threshold value, and if the power ratio is greater than or equal to the second threshold value, A power comparison unit that determines that it has been measured normally; And
If the ratio of the average power is less than the second threshold value, the sum of the power of the harmonic component of the heart rate signal and the power of the remaining signals are compared with the third threshold value, and if it is less than the third threshold value, normal A harmonic analysis unit that determines the measured value; Bio-signal measuring device comprising a. The method of claim 5, wherein the biosignal verification unit
If it is less than the third threshold, it is determined whether the signal-to-noise ratio calculated as a ratio of the average signal power in the frequency range determined around the heartbeat frequency and the total signal power in the noise region is greater than or equal to the fourth threshold value, and the fourth threshold If the value is more than the SNR analysis unit to determine that the normal measurement; Bio-signal measurement device further comprising a. The method of claim 5, wherein the signal processing unit
Acquiring an autocorrelation signal of the received signal, determining the periodicity of the received signal, classifying the received signal by period,
The biosignal verification unit
A motion determination unit that determines whether or not the examinee has moved according to the divided period of the received signal and, if it is determined that the examinee has moved, determines that the measurement is abnormal; Bio-signal measurement device further comprising a. Receiving a frequency biosignal obtained by a radar-based biosignal measuring apparatus in which a received signal in a time domain is converted into a frequency domain;
Dividing the frequency biological signal into a breathing region, a heartbeat region, and a noise region according to a predetermined frequency section;
The power ratio of the peak signal, which is the peak signal in the breathing region, and the peak signal, which is the peak signal, in the heart rate region, is compared with a predetermined first threshold value, and if the power ratio is less than the first threshold value, the measurement is abnormal. Determining;
When the power ratio of the peak signal is greater than or equal to the first threshold value, a ratio of the average power in the heartbeat region and the average power in the noise region is compared with a predetermined second threshold value, and if the power ratio is greater than or equal to the second threshold value, Determining that it has been measured normally; And
If the ratio of the average power is less than the second threshold value, the sum of the power of the harmonic component of the heart rate signal and the power of the remaining signals are compared with the third threshold value, and if it is less than the third threshold value, normal Determining that it has been measured; Biosignal verification method comprising a. The method of claim 8, wherein the biosignal verification method
If it is less than the third threshold, it is determined whether the signal-to-noise ratio calculated as a ratio of the average signal power in the frequency range determined around the heartbeat frequency and the total signal power in the noise region is greater than or equal to the fourth threshold value, and the fourth threshold Determining that it has been measured normally; Bio-signal verification method further comprising The method of claim 8, wherein the biosignal verification method
Applying an autocorrelation signal of the received signal to the impulse signal periodically radiated from the radar-based bio-signal measuring apparatus;
Determining whether the subject has moved based on the periodic pattern of the autocorrelation signal, and if it is determined that the subject has moved, determining that the subject has been abnormally measured; Bio-signal verification method further comprising a.

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