KR20130059775A - Method for emotion analysis of a driver - Google Patents

Abstract

PURPOSE: A method for acquiring and monitoring biometric information of a bicyclist is provided to let the bicyclist recognize a dangerous situation by outputting a guide voice according to a degree of danger. CONSTITUTION: A biometric signal monitoring device(200) respectively receives an electrocardiogram signal and a pulse wave signal from a handle bar sensor(110) and a wrist sensor(120). The handle bar sensor includes an electrocardiogram sensor(111). The electrocardiogram sensor acquires biometric information from a palm of a bicyclist. The wrist sensor includes a pulse wave sensor(121). The pulse wave sensor acquires biometric information from the wrist of the bicyclist. [Reference numerals] (110) Handle bar sensor; (111) Electrocardiogram sensor; (112) First skin electric resistance sensor; (113) Skin temperature sensor; (114) Body fat sensor; (120) Wrist sensor; (121) Pulse wave sensor; (122) Second skin electric resistance sensor; (123) Wireless transmitting unit; (200) Biometric signal monitoring device; (201) A/D conversion unit; (202) Wireless receiving unit; (204) Memory unit; (206) Voice output unit; (207) Communication unit

Description

Biological Information Acquisition and Monitoring Method for Bicyclists {Method for Emotion Analysis of a Driver}

The present invention relates to a method for acquiring biometric information of a cyclist, in particular, when biometric information of a driver is acquired through biosignal sensors mounted on a handle of a bicycle and a watch type biometer, and an error occurs in obtaining biometric information. The present invention relates to a method of acquiring and monitoring biometric information of a bicycle driver, which selects and acquires biometric information obtained from another location, and analyzes and monitors the measured biometric information and alerts the driver when it is out of a set reference value range.

Recently, bicycles are being used not only as a means of transportation but also as a means of exercise for health. In particular, in order to solve pollution and traffic problems caused by the increase in the number of automobiles used, active interest and support are being made in each field to increase the use of bicycles.

In other words, bicycles are not only valuable as a means of transportation and exercise, but bicycles are also used for leisure activities such as travel by forming various groups of users of all ages, families, and groups. Play a very important role in our lives.

Accordingly, not only infrastructure such as bicycle parking facilities and bicycle roads, but also advanced systems such as bicycles' prevention of loss, location identification, and health care system for monitoring driver's exercise and health status, Is being applied.

In particular, bicycles are equipped with a Ubiquitous-based u-Healthcare system for health care and medical services that can be used anytime, anywhere by combining IT and health care services, and remotely manage driver's diseases. In particular, the driver maintains health and improves health, and in particular, the bicycle driver acquires a biosignal in an unrestrained state while driving and analyzes the driver's health information and feeds it back to the driver, or transmits it to the driver's health care system.

Bicycle for u-healthcare according to the prior art is disclosed in Korean Patent Publication No. 10-2009-0022907 (health care bicycle).

1 is a schematic block diagram of a health care bicycle according to the prior art, the health care bicycle 10 according to the prior art is a stationary health bicycle, the handle is provided by the user grip on the bicycle body frame, the handle The sensing unit 10 includes a memory unit 20, an output unit 30, and a control unit 40.

Here, the sensing unit 10 is provided with a conductive plate on the handle to detect the user's pulse to receive positive (+) charge, negative (-) charge, etc.

The control unit 40 includes an A / D conversion unit 41 and a comparison / determination unit 42, and stores the pulse information measured in real time through the detection unit 10 in the memory unit 20. Compared to the pulse information before the time Δt, it is determined whether a problem has occurred in the state of health of the user who is currently exercising.

The comparison / decision unit 42 receives the digital pulse signal converted through the A / D conversion unit 41 and inputs the digital pulse signal to the memory unit 20 before a predetermined time Δt stored in the memory unit 20. The rate of change is calculated by differentiating the difference in the stored pulse signals. The time [Delta] t can be appropriately changed between 1 and 5 seconds by the user's setting. Preferably, the time [Delta] t is set to 3 seconds.

By measuring the change rate according to the change in the pulse change through the derivative, it is possible to determine whether the pulse of the exercise user is rapidly increased or decreased so as to threaten the health.

The health care bicycle according to the prior art configured as described above can check the change in his heart rate in real time while the user with high blood pressure or heart disease is exercising using the health care bicycle. When an abnormal condition occurs, there is an effect that can be stopped immediately to exercise.

The health care bicycle according to the prior art removes the measured bio-signal including the noise as the noise occurs due to the sensor's lead fail when the user lifts his hand from the contact point of the sensing unit attached to the handle during exercise. If the bio signal is measured again from the beginning, or the bio signal is removed after the corresponding noise time, then the measured bio signal is subsequently measured as long as the noise is generated and the accuracy is inevitably deteriorated. There was this.

Therefore, in order to improve the problems of the related art, the present invention includes a biometric information acquisition device on a bicycle handlebar and a driver's wrist to acquire biometric information of a bicycle driver, while the driver acquires biosignals from biosensors mounted on the handlebar. When a biometric signal is lost due to a lead failure with biosensors, the biosignal is replaced with a biosignal from a wrist biometric information acquisition device. It is an object of the present invention to provide a method for obtaining and monitoring biomedical information of a cyclist to maintain continuity without disconnection of a detection signal.

Another object of the present invention is to monitor the electrocardiogram / pulse wave signal obtained from the handlebar and the wrist of the driver, and if the calculated current pulse rate is determined to be the set risk level, the driver may stop the exercise alert or induce self-breathing according to the degree of danger. The purpose is to output the guide voice for the driver to recognize the dangerous state.

Biological information acquisition and monitoring process of the bicycle driver to achieve the object of the present invention is a handlebar sensor unit including an electrocardiogram sensor for obtaining biometric information from the palm of the driver in contact with the bicycle handlebar, and obtains biometric information from the wrist of the bicycle driver EC (Analog / Digital) value and R-peak (B) through the signal processing and analysis process by the biosignal monitoring device which received ECG and pulse wave signal (ECG) (PPG) respectively from the wrist sensor part including pulse wave sensor for In the method of obtaining biometric information of a bicycle driver for calculating each parameter value including R-peak, RRI (RR peak Interval) and pulse rate (HR), the bicycle driver from the electrocardiogram sensor of the handlebar sensor unit and the pulse wave sensor of the wrist sensor unit A biosignal acquisition process of acquiring the synchronized electrocardiogram signal and pulse wave signal (ECG) (PPG) of the biosignal monitoring apparatus, respectively; The biosignal monitoring apparatus includes a biosignal analysis process of analyzing respective electrocardiograms and pulse wave signals (ECGs) (PPGs) obtained from an electrocardiogram and a pulse wave sensor and calculating respective parameter values including an AD value, an R-peak, an RRI, and a pulse rate; When the AD value, the R peak threshold value, the RRI, and the pulse rate calculated by the ECG sensor deviate from the set normal ECG signal range, the pulse wave signal synchronized with the ECG signal is determined by determining that the driver's body is not in contact with the ECG sensor. Biosignal replacement process obtained by substituting AD value, R-peak, RRI and pulse rate from (PPG); And when the AD value, the R-peak, the RRI, and the pulse rate obtained from the pulse wave signal (PPG) are deviated from the normal ECG signal set in the biosignal replacement process, it is determined that the driver's non-contact error of the pulse wave sensor is returned to the biosignal acquisition process. The return process; characterized in that made, including.

Here, the biosignal analysis process sequentially calculates a digital value (AD), an R peak threshold value, an RRI, and a pulse rate from an electrocardiogram / pulse wave signal obtained from each electrocardiogram and pulse wave sensor. When each parameter value calculated from the parameter is out of the set range, the parameter values after the parameter value may be obtained by selectively obtaining the parameter value calculated from the pulse wave sensor.

In addition, it is determined whether the electrocardiogram / pulse wave signal obtained through each parameter calculated from the ECG signal and the PPG signal (ECG) (PPG) in the biosignal replacement process and the return process is within a normal range, and the AD value is a normal ECG. It is determined whether or not within the minimum, maximum voltage level set to determine the pulse wave signal, the R-peak determines whether or not the set threshold value to determine the normal electrocardiogram / pulse wave signal, the RRI is a digital of one RRI It is determined whether the converted sampling number is within the minimum and maximum number set to determine the normal electrocardiogram / pulse signal, and the HR value is a difference between the average value (Averaged HR) and the current pulse rate of the pulse rate measured so far (Averaged HR-HR ) Is within the set reference value, it is determined as a valid pulse rate.

In addition, if it is determined that the rate of change of the pulse rate calculated through each process is a sudden rise above the set value, the driver is alerted through the display window and the voice output unit to stop the exercise, and the rate of change of the pulse rate calculated through each process is determined. When it is determined that the operation is gradually increased to the set dangerous pulse rate, it is displayed through the display window, and the voice output unit outputs a self-breathing guide voice to stabilize the heartbeat.

Biometric information acquisition method of the bicycle driver according to the present invention is equipped with an ECG sensor handle bar and wrist sensor unit even if the driver is not contacted from the ECG sensor mounted on the handle bar due to the movement during the measurement of the biometric information mounted on the wrist sensor unit Since the PPG data acquired through the acquired pulse wave sensor and the parameters calculated therefrom are used, there is an effect that the necessary parameters can be continuously obtained without having to restart the ECG data acquisition for the parameter calculation from the ECG data.

In addition, the present invention calculates the pulse rate from the ECG / PPG signal obtained from the obtained ECG / pulse wave sensor, and if the calculated pulse rate is a dangerous level, but if the pulse rate rises rapidly in a short time stops the exercise alarm In the case of a slow increase, the self-breathing guidance voice is output to the driver to maintain heart rate stabilization.

1 is a schematic block diagram of a health care bicycle according to the prior art,
2 is a block diagram of a system for obtaining biometric information of a bicycle driver for implementing the present invention;
3 is a detailed block diagram of an apparatus for obtaining biometric information of a bicycle driver for implementing the present invention;
4 is a flowchart of a process of obtaining biometric information of a bicycle driver according to an embodiment of the present invention;
5 is an electrocardiogram / pulse wave waveform and noise compensation display diagram of each electrocardiogram / pulse wave sensor mounted on a handlebar and a wrist sensor unit of a bicycle according to an embodiment of the present invention;
6 is a flowchart of an alarming process according to dangerous pulse rate detection of a bicycle driver according to an exemplary embodiment of the present invention.

Referring to the accompanying drawings, the method for obtaining biometric information of a bicycle driver according to an embodiment of the present invention will be described in detail as follows.

2 is a configuration diagram of a biometric information acquisition system for acquiring biometric information of a bicycle driver for implementing the present invention, and shows biosensors 110 for obtaining various biometric information from the palm of a driver while driving a bicycle 100. Watch-type watch type biometer 102 equipped with a handlebar 101 mounted thereon, and wrist sensors 120 for wearing on a wrist of a bicycle driver to obtain various biometric information of the driver; Collects and analyzes bio signals such as heart rate, retention network, and skin electrical resistance measured from the biosensors 110 and the watch type biometer 102 mounted on the handle bar 101, and displays them on the display window. When the analyzed heart rate reaches a dangerous level, the heart rate monitoring device 200 is configured to alert the user through a voice or display window.

Here, the handlebar 110 is detachable to the handle of the bicycle, the mounted handlebar sensor unit 110 is configured to transmit data to the biological signal monitoring device 200 by wire or wirelessly.

The watch type biometer 102 is connected to the biosignal monitoring device 200 by a wireless data transmission method such as RF, Zigbee, or Bluetooth.

3 is a detailed block diagram of the biometric information acquisition device of FIG. 2, wherein the handlebar sensor unit 110 mounted on the handlebar 101 includes an electrocardiogram sensor 111 and a first skin electrical resistance in contact with the palm of the driver. It consists of a sensor 112, a skin temperature sensor 113 and a body fat sensor 114.

The wrist sensor unit 120 mounted on the watch type biometer 102 is a pulse wave sensor 121, a second skin electrical resistance sensor 122, and the measured biosignal, which are in contact with a wrist. It consists of a wireless transmitter 123 for transmission to the 200.

The bio-signal monitoring apparatus 200 receives the sensor signals (ECG1, GSR1, SKT, BMI) received from each of the sensors 111 to 114 of the handle sensor unit 110 and converts them into digital signals. A living body input through the converting unit 201, the wireless receiving unit 202 for inputting the wireless bio-signal transmitted from the wrist sensor unit 120, the A / D conversion unit 201 and the wireless receiving unit 202 The microcontroller 203 which selects and acquires an accurate biosignal from among the signals, calculates and analyzes parameters for determining the current health state of the driver, and the driver state information and the biometrics under the control of the microcontroller 203. Under the control of the memory unit 204 for storing information, the display unit (LCD) 206 for displaying the driver's health status information and biometric information calculated by the microcontroller 203, and the control of the microcontroller 203 Danger of the driver's pulse rate A voice output unit 206 for outputting a beam and self-breathing guide voice, and a communication unit 207 for transmitting a signal from the microcontroller 203 to the outside.

Here, the electrocardiogram sensor 111 mounted on the handlebar 101 is composed of one contact point on the left and right sides of the handlebar 101, and when the driver grabs the handle with both palms, the palms of the driver from each contact point. The ECG signal (ECG) is obtained from the current flowing in the driver's body, and the pulse wave sensor 121 mounted on the watch type biometer 102 is configured with a pulse wave sensor attached to a position in contact with the driver's wrist. .

On the other hand, the watch type biometer 102 acquires a pulse wave signal (PPG) from the wrist of the driver through the on-board pulse wave sensor 121, the second skin of the driver through the second skin electrical resistance sensor 112 The resistance signal GSR2 is detected and transmitted to the biosignal monitoring apparatus 200 through the wireless transmitter 123.

In addition, the bio-signal monitoring apparatus 200 is an electrocardiogram signal (ECG) obtained from the driver in the ECG sensor 111 of the handlebar sensor unit 110, the skin skin of the driver obtained from the first skin electrical resistance sensor 112 The A / D conversion unit may measure the skin temperature (ST) and the body fat value (BMI) measured by the body fat sensor 114 of the palm of the driver obtained through the resistance value GSR1, the skin temperature sensor 113, respectively. The microcontroller 203 is input to the microcontroller 203 to determine a driver's health state by analyzing a biosignal.

In the present invention, the electrocardiogram / pulse wave signal (ECG) obtained from the electrocardiogram sensor 111 mounted on the handlebar 101 and the pulse wave sensor 121 mounted on the watch type biometer 102 in the microcontroller 203. If the ECG signal ECG from the electrocardiogram sensor 111 is determined to be noise by receiving the PPG, the driver converts it to the pulse wave signal PPG from the pulse wave sensor 121 to calculate a necessary parameter. Hand is to maintain the continuity of the ECG signal even when noise occurs due to a lead fail with the ECG sensor 111 mounted on the handle bar (101).

3 is a flowchart illustrating a process of acquiring biometric information of a bicycle driver according to an exemplary embodiment of the present invention. When the biometric information measurement mode selected by the bicycle driver is automatically or manually executed, an electrocardiogram sensor 111 mounted on the handle bar 102 is illustrated. ) And the pulse wave sensor 121 mounted on the watch type biometer 102 are driven to start measuring the synchronized electrocardiogram / pulse wave signal (ECG) (PPG), respectively (S101).

The microcontroller 203 calculates and stores an R-peak value, an RRI value, and an HR value for each ECG / ECG signal (PPG) obtained from the ECG and pulse wave sensors 111 and 121, respectively. (S111 ~ S127) (S131 ~ S147)

Each process will be described in detail with reference to FIG. 3 as follows.

First, the microcontroller 203 converts the acquired ECG signal ECG from the ECG sensor 111 mounted on the handlebar 101 into a digital value AD through the A / D converter 201 and inputs the same. (S111)

It is determined whether the converted input digital values AD are normal ECG signals. That is, it is determined whether the level of the input digital value AD is a set normal range by setting a normal reference range of a general person.

For example, when the A / D converter 201 is a circuit driven by 10 bits, the voltage level can be measured up to 1024 levels, and at this time, the level in the normal range is set to at least 45 and at most 300, and is within the range. Only the normal ECG signal is determined, and if it is out of the set range, it is determined as an error such as a sensor's non-contact. Here, the minimum / maximum value of the digital value can be arbitrarily set.

If the number of digital values AD determined as the lead fail of the user (S113) is maintained for a predetermined time (more than about 20), it is determined as noise and the compensation process (S133 to S147) is performed.

Here, the lead fail error of the ECG sensor 111, which measures the ECG signal through each contact on the left and right sides of the driver's handle bar 101, is the contact point of each sensor mounted on the left and right sides of the handle bar 101. If both hands of the driver are not in contact at the beginning, or if only one of both hands is in contact, or both hands are normally in contact at first, before all of the above parameters (R-peak, RRI, HR) are obtained. Even when both hands or one hand is not in contact, an accurate ECG signal cannot be obtained, thereby performing a compensation process.

The compensation processes S133 to S147 obtain a digital value AD from the pulse wave signal PPG from the pulse wave sensor 121 of the wrist sensor unit 120 synchronized with the ECG signal ECG. The peak value, the RRI, and the HR value are calculated and stored. (S133 to S147)

If the digital conversion value AD of the ECG signal ECG input to the microcontroller 203 is within the set reference range (45≤AD≤300), the ECG signal is judged to be a normal ECG signal, and a low pass and high pass filter is determined. After removing the noise having the high frequency and low frequency components through the first derivative and the square root calculation process, and extracts the R-peak through the envelope detection algorithm (S115) (S117).

At this time, when the R-peak value detected through the envelope detection algorithm is less than or equal to the threshold of the set envelope, it is determined that the user's ECG sensor 111 does not contact an error (S119), and the wrist sensor unit 120 It is determined whether the R-peak value of the pulse wave signal PPG calculated by the pulse wave sensor 121 is greater than or equal to a threshold of the set envelope (S139). If the threshold value is more than the threshold value, the RRI and HR values of the pulse wave signal PPG are calculated. Perform the process. (S141 ~ S147)

However, if the R-peak value of the pulse wave signal PPG calculated by the pulse wave sensor 121 is less than or equal to a threshold of a set envelope, the ECG and pulse wave sensor 111 are returned to the initial biometric information measuring step S101. The ECG / pulse wave signal (ECG) (PPG) acquisition from the 121 and calculation of each parameter (AD, R-peak, RRI, HR) are restarted. (S101 to S127) (S131 to S147)

If the R-peak value of the ECG signal detected by the envelope detection algorithm is equal to or larger than a set threshold of the envelope, RRI is started.

In the acquired ECG signal, it is determined whether the sampling number of one RRI is within a set normal range. For example, if the number of samplings is set to the minimum 70 and the maximum 300, if it is within the set normal range, it is determined as a normal RRI to calculate the current pulse rate HR (S123) (S125). The minimum and maximum number of samplings can be set by the user.

If the number of samples of the acquired RRI of the ECG signal is outside the set normal range (RRI≤70, 300≤RRI), it is determined whether the number of RRI sampling from the pulse wave signal PPG is within the set normal range. On the other hand, if it is within the set number of sampling, it is determined as a normal RRI, and the current pulse rate HR is acquired and stored from the corresponding RRI of the pulse wave signal PPG (S145) (S147).

However, when the RRI sampling number of the pulse wave signal PPG is out of the set reference range (RRI ≤ 70, 300 ≤ RRI), the pulse wave signal PPG acquisition failure of the pulse wave sensor 121 is determined to be the first biosignal measurement step. Returning to step S101, the ECG signal ECG is acquired from the ECG sensor 111 and calculation of each parameter AD, R-peak, RRI, HR is restarted.

If the sampling rate of the RRI of the ECG signal is within the normal range (70 <RRI <300), it is determined as a normal RRI for calculating the pulse rate (HR), and the average value (Averaged HR) of the pulse rate measured so far If the current pulse rate difference (Averaged HR-HR) is within a set reference value (+15, -15), it is determined as a normal pulse rate and stores the corresponding pulse rate (HR), and returns to the initial biosignal measurement step (S101). (S127)

Meanwhile, when the difference value (Averaged HR-HR) between the calculated current pulse rate HR and the average pulse rate Average of the ECG signal ECG is out of the set range (+15, -15) (S125). Next, it is determined whether the current measured pulse rate and average pulse rate difference value (Averaged HR-HR) of the pulse wave signal PPG are within a set range (+15, -15). If it is within -15, it stores the current pulse rate HR of the pulse wave signal PPG and returns to the initial biosignal measurement step S101 (S145) (S147).

4 is a view illustrating a process of determining noise in a corresponding region of an electrocardiogram signal (ECG) and compensating for a pulse wave signal (PPG) from a pulse wave sensor when a non-contact error occurs in a user's electrocardiogram sensor 111 according to an exemplary embodiment of the present invention. ECG waveform diagram for the.

That is, the digital conversion value, the R-peak detection, the RRI and the HR value are acquired from the ECG signal acquired by the ECG sensor 111 (S111 to S127). Due to the non-contact, the noise region is generated, and an error of failing to obtain a continuous RRI occurs.

At this time, the RRI obtained from the pulse wave signal PPG from the pulse wave sensor 121 being measured together with the ECG sensor 111 is compensated for to calculate a continuous RRI, thereby calculating a normal HR value. .

Heart rate variability (HRV) is calculated using the parameters (R-Peak, RRI, HR value) calculated by the above process, which is SDNN, HRV which is an analytical index that can quantify stress, sensitivity and autonomic nervous system activity. It is used to calculate parameters such as -index and LF / HF.

FIG. 5 is a flowchart of a pulse rate risk state warning process of monitoring a biosignal according to an exemplary embodiment of the present invention, and when it is determined that the risk pulse rate is determined through a monitoring process of an HR value calculated through the biometric information acquisition process, the driver is alerted. (S151-S161)

More specifically, the current HR value calculated through the biometric information acquisition process is compared with the dangerous state HR value previously stored in the memory unit 204. (S151)

When it is determined that the risk value is determined as a result of the comparison between the current HR value and the risk state HR value, the rate of change per hour is calculated. (S153) (S155) If it is determined that a sudden change of time is shorter than the set change rate, the display unit ( 205 and the voice output unit 206 to alert the driver (S157).

That is, the exercise stop alarm screen through the display unit 205 and the exercise stop alarm voice are output through the voice output unit 206 to allow the driver to be aware of a dangerous state (S159).

When the rate of change of the HR value determined as the current dangerous state is determined to be a gradual change, the alarm is alerted through the display unit 205 and the voice output unit 206 outputs a self-breathing guidance voice for heart rate stability. The driver not only recognizes his current heart rate risk state, but also adjusts the respiration rate according to the voice guidance so as to lower the normal heart rate.

Biological information acquisition and monitoring method of the bicycle driver according to an embodiment of the present invention described above is not limited to the above-described embodiment, the respective parameters (based on the pulse wave signal PPG obtained from the pulse wave sensor 121) Setting range of digital conversion value and threshold range of R-peak value for acquiring AD, R-peak, RRI, HR value) or to determine whether non-contact error has occurred in ECG / pulse wave signal (ECG) (PPG) , RRI normal detection frequency range or normal range of HR and average HR can be set arbitrarily.

As described above, the present invention can be variously changed according to a configuration or a normal range reference value change, and any person having ordinary knowledge in the field to which the present invention belongs without departing from the gist of the present invention as claimed in the following claims. The technical spirit is to the extent that various changes can be made.

100: bicycle 101: handlebar
102: watch type biometer 110: handle bar sensor unit
111,121: ECG and pulse wave sensor 112,122: first and second skin electrical resistance
113: skin temperature sensor 114: body fat sensor
131: pressure sensor 120: wrist sensor
123: wireless transmitter 200: biological signal monitoring device
201: A / D converter 203: microcontroller
204: memory unit 205: display unit
206: voice output unit 207: communication unit

Claims (9)

Wrist sensor including a handlebar sensor unit 110 including an electrocardiogram sensor 111 for obtaining biometric information from the palm of the driver who is in contact with the handlebar of the bicycle, and a pulse wave sensor 121 for obtaining biometric information from the wrist of the bike driver Through the signal processing and analysis process by the biosignal monitoring device 200 which receives the ECG and the pulse wave signal (ECG) (PPG), respectively, from the unit 120, the AD (Analog / Digital) value and the R-peak (R-peak) In the bicyclist information acquisition method for calculating each parameter value, including RRI (RR peak Interval) and pulse rate (HR),
From the electrocardiogram sensor 111 of the handlebar sensor unit 110 and the pulse wave sensor 121 of the wrist sensor unit 120, the synchronized electrocardiogram signal and pulse wave signal (ECG) (PPG) of the bicycle driver are respectively measured in the biosignal monitoring apparatus. Obtaining a biological signal;
The biosignal monitoring apparatus 200 analyzes each electrocardiogram and pulse wave signal (ECG) (PPG) obtained from the electrocardiogram and pulse wave sensors 111 and 121, and includes each parameter including an AD value, an R-peak, an RRI, and a pulse rate. A biosignal analysis process of calculating values;
When the AD value, the R peak threshold value, the RRI, and the pulse rate calculated by the ECG sensor 111 are out of the set normal ECG signal range, the AD value, R from the pulse wave signal PPG synchronized with the ECG signal ECG -Biosignal replacement process obtained by replacing peak, RRI and pulse rate; And
When the AD value, R-peak, RRI, and pulse rate obtained from the pulse wave signal PPG deviate from the normal ECG signal set in the biosignal replacement process, it is determined that the driver's non-contact error of the pulse wave sensor 121 causes the biosignal acquisition process. Biometric information acquisition method of a bicycle driver, characterized in that comprises a; return process to return to. The method of claim 1,
In the biosignal analysis process, the biosignal replacement process, and the return process, it is determined whether the electrocardiogram and the pulse wave signal obtained through each parameter calculated from the electrocardiogram and pulse wave signal (ECG) (PPG) are within a normal range.
The AD value determines whether it is within the minimum and maximum voltage levels set to determine normal ECG and pulse wave signals.
The R-peak determines whether or not the set threshold value for determining the normal electrocardiogram and pulse wave signal,
The RRI determines whether the number of digitally converted samplings of one RRI is within a minimum and maximum number set to determine normal ECG and pulse wave signals.
The HR value is determined as a valid pulse rate when the average value of the pulse rate measured so far (Averaged HR) and the current pulse rate (Averaged HR-HR) is within a set reference value. 3. The method according to claim 1 or 2,
The biosignal analysis process sequentially calculates an AD value, an R-peak threshold value, an RRI, and a pulse rate from the electrocardiogram and pulse wave signal (ECG) (PPG), respectively.
In the biosignal replacement process, when each parameter value calculated from the electrocardiogram signal (ECG) is out of the set range, the parameter values after the parameter value out of the set range are selected and acquired from the pulse wave signal (PPG). Biological information acquisition method of a cyclist characterized in that. 3. The method according to claim 1 or 2,
The biosignal replacement process may include: checking a setting range of a digital value of the pulse wave signal PPG when the digital value AD of the acquired ECG signal is out of a set range;
And when the digital value of the pulse wave signal (PPG) is within a set range, sequentially calculating R-peak detection, RRI acquisition, and pulse rate from the pulse wave signal (PPG), respectively. Driver biometric information acquisition method. 3. The method according to claim 1 or 2,
In the biosignal replacement process, the R-peak value calculated from the ECG signal ECG when the R-peak value calculated when the digital value AD of the ECG signal is within the set range is less than or equal to the set threshold value. Step 1 to check whether or not the set threshold value;
If the R-peak value of the pulse wave signal (PPG) is greater than or equal to the set threshold value, two steps of sequentially calculating the RRI and pulse rate from the pulse wave signal (PPG); Way. 3. The method according to claim 1 or 2,
The biosignal replacement process is within a range within which the digital value (AD) and the R-peak value of the electrocardiogram signal (ECG) are set, and when the calculated RRI is out of the set range, the RRI of the pulse wave signal (PPG) is within a set range. Step 1 to confirm the recognition; And
And calculating a pulse rate from the pulse wave signal PPG when the RRI of the pulse wave signal PPG is within a set range. The method of claim 1,
The biosignal replacement process is performed when the digital value AD, the R-peak value, and the RRI of the ECG signal ECG obtained from the ECG sensor 111 are within a set range, and the calculated pulse rate is out of the set range. Checking whether a pulse rate of the signal PPG is within a set range;
And storing the pulse rate of the pulse wave signal PPG when the pulse rate of the pulse wave signal PPG is within a set range. 3. The method according to claim 1 or 2,
If the pulse rate calculated by the above process is determined to be the preset risk pulse rate, the pulse rate change rate per hour is calculated to determine the sudden rise above the set risk change rate. Biological information acquisition and monitoring method of a bicycle driver comprising a. 3. The method according to claim 1 or 2,
If it is determined that the pulse rate calculated through each process is a preset risk pulse rate, the pulse rate change rate per hour is calculated to be less than or equal to the preset risk change rate, and it is displayed on the display window and the driver is output to stabilize the heart rate to the driver through the voice output unit. Biological information acquisition and monitoring method of the bicycle driver further comprising a pulse rate monitoring process for outputting the stored self-breathing guidance voice.

Images