KR102523994B1 - Apparatus for judgment of drinking using vital sign and method thereof - Google Patents

Abstract

The present invention relates to an apparatus and method for determining drinking using a bio-signal, comprising: a bio-signal detector for detecting a photoplethysmogram (PPG) among bio-signals of a user; and a control unit that determines whether or not drinking and the degree of drinking through extraction and analysis of heart rate variability (HRV) using the biosignal.

Description

Apparatus and method for determining drinking using biosignals {APPARATUS FOR JUDGMENT OF DRINKING USING VITAL SIGN AND METHOD THEREOF}

The present invention relates to an apparatus and method for determining drinking using bio-signals, and more particularly, to determine whether or not a user has been drinking and the degree of drinking by using a user's bio-signal detected through a device worn or attached to the user's body. It relates to a device and method for determining drinking alcohol using biosignals that enable

In general, a moderate amount of alcohol intake provides various benefits to a person, but excessive drinking harms health. In addition, accidents caused by driving after drinking and driving cause major accidents and even take lives. In addition, in a state of drinking, rational thinking is paralyzed and acts as a cause of various crimes.

In particular, since it is a social problem that harms others due to drinking, drunk driving is typically cracked down to prevent it.

At this time, as a method of measuring the drinking state, there is a method of measuring the alcohol concentration in the air exhaled during breathing using a breath-type breathalyzer equipped with an alcohol sensor, and a method of measuring the alcohol concentration contained in the blood flow using a laser. there is. In general, the former method is commonly used as a method used for alcohol control. Widmark formula for estimating the blood alcohol concentration by obtaining the consent of the driver for some drivers who disobey the breathalyzer and taking blood, etc. is sometimes used.

However, since the existing drinking measurement method is a method of measuring drinking by directly meeting the drinking person, there is a problem in that it is not suitable for time and economically to determine whether a specific person at a distance is drinking. Therefore, there is a need for a method that enables real-time determination of drinking status through communication from a distance, even without face-to-face face-to-face, for patients who need to abstain from alcohol for treatment but have a weak will.

The background art of the present invention is disclosed in Republic of Korea Patent Publication No. 10-2011-0132109 (2011.12.07. Publication, breathalyzer).

According to one aspect of the present invention, the present invention was created to solve the above problems, and whether or not the user has been drinking and the degree of drinking by using the user's bio-signal detected through a device worn or attached to the user's body. An object of the present invention is to provide a device and method for determining drinking using bio-signals, which can discriminate.

An apparatus for determining drinking using biosignals according to an aspect of the present invention includes a biosignal detection unit for detecting a photoplethysmogram (PPG) of a user's biosignals; and a control unit for determining whether or not to drink and the degree of drinking through extraction and analysis of heart rate variability (HRV) using the biosignal.

According to another aspect of the present invention, a drinking discrimination method using a biosignal includes detecting, by a biosignal detection unit, a photoplethysmogram (PPG) of a user's biosignal; performing pre-processing on the bio-signal by a controller; detecting, by the control unit, peak points in the preprocessed biosignal; performing, by the control unit, extraction and analysis of heart rate variability (HRV) using the detected peak points; and determining, by the controller, whether or not drinking and the degree of drinking using parameters obtained through the analysis of the heart rate variability (HRV).

According to one aspect of the present invention, the user's bio-signal detected through a device worn or attached to the user's body can be used to determine whether or not the user has been drinking and the degree of drinking.

According to another aspect of the present invention, even if the user does not face the user directly, the user's bio-signal is analyzed to enable real-time determination of drinking or not through communication even at a distance.

1 is an exemplary diagram showing a schematic configuration of an apparatus for determining drinking alcohol using bio-signals according to an embodiment of the present invention.
FIG. 2 is an exemplary view showing that the device for determining drinking alcohol using bio-signals in FIG. 1 is implemented in a form that can be worn or attached to a user's body.
FIG. 3 is an exemplary diagram showing a multi-channel photoplethysmogram (PPG) sensor in FIG. 1;
4 is a flowchart for explaining a drinking determination method using bio-signals according to an embodiment of the present invention.
FIG. 5 is a flowchart for explaining in detail the pre-processing process for bio-signals in FIG. 4;
FIG. 6 is a flowchart for explaining in detail the process of detecting a peak point in a biosignal in FIG. 4;
FIG. 7 is a flowchart illustrating a method of determining whether or not drinking and the degree of drinking using parameters obtained through analysis of heart rate variability (HRV) in FIG. 4; FIG.
FIG. 8 is an example of a biosignal waveform shown to explain a method of detecting a peak point in FIG. 4;
9 is an exemplary view showing a portion of HRV clinical data according to postures of a normal group and an alcohol dependent group;

Hereinafter, an embodiment of an apparatus for determining drinking alcohol using bio-signals according to the present invention will be described with reference to the accompanying drawings.

In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of a user or operator. Therefore, definitions of these terms will have to be made based on the content throughout this specification.

1 is an exemplary diagram showing a schematic configuration of an apparatus for determining drinking alcohol using bio-signals according to an embodiment of the present invention.

As shown in FIG. 1 , the device for determining drinking using biosignals according to the present embodiment includes a biosignal detection unit 110, a drinking determination data storage unit 120, a control unit 130, and a communication unit 140. do.

As shown in FIG. 2 , the device for determining drinking alcohol using bio-signals according to the present embodiment is implemented in a form that can be worn or attached to a user's body (eg, wrist, ankle, etc.).

The bio-signal detector 110 includes a sensor that periodically detects photoplethysmogram (PPG) among various bio-signals (see FIG. 3).

The photoplentysmograph (PPG) is a biosignal that monitors changes in the volume of blood vessels at the extremities of the body. As the amount of blood (blood flow) in the blood vessels increases, more light is absorbed, thereby causing transmission or reflection. It is a bio-signal that enables measurement of volume change of blood vessels by using the feature of decreasing light intensity.

FIG. 3 is an exemplary diagram showing the multi-channel photoplethysmography (PPG) module of FIG. 1, wherein the bio-signal detector 110 is a combination of a plurality of photoplethysmogram (PPG) sensors in the form of a single module. A multi-channel photoplethysmogram (PPG) module is included, and the measurement accuracy (or measurement time interval) of the biosignal (PPG signal) can be improved through the multi-channel photoplethysmogram (PPG) module.

For example, when the measurement period of a biosignal (PPG signal) is shortened through the multi-channel PPG module (e.g., the overall measurement period is shortened by sequentially driving the PPG sensor of each channel), the signal By ensuring continuity, more accurate measurements are possible.

Referring back to FIG. 1 , the drinking determination data storage unit 120 processes the bio-signal data detected through the bio-signal detector 110 and the bio-signal data to determine whether or not to drink and the degree of drinking (e.g., high: high). , Medium: Moderate, Low: Low, etc.) and processing data (eg, HRV data) generated (produced) in the signal processing process through the algorithm (e.g., drinking discrimination algorithm) are stored.

Here, the heart rate variability (HRV) means heart rate variability representing the inter-beat variability of heart rate. In the case of a healthy person, the pattern is irregular and complicated when measuring heart rate variability, whereas the smaller the heart rate variability (HRV) (regular The simpler it is, the less reactive it is to changes in the body.

Therefore, in this embodiment, the control unit 130 extracts HRV (or HR) using the biosignal (eg, PPG signal), and analyzes the HRV (or HR) (eg, time series analysis, frequency series analysis, etc.) It determines whether or not you have been drinking and the degree of drinking.

The drinking determination data storage unit 120 may be included in an external type or may be included in a built-in type built into the control unit 130 .

The control unit 130 uses bio-signal data (eg, PPG signal data) stored in the drinking determination data storage unit 120 and an algorithm (eg, a drinking determination algorithm) to determine whether or not to drink and the degree of drinking (eg, high: high). , medium: medium, low: small, etc.) are determined.

A method of determining whether or not the controller 130 has been drinking and the degree of drinking (eg, high: high, medium: normal, low: low, etc.) will be described in more detail with reference to FIG. 4 .

When the controller 130 determines whether or not to drink and the degree of drinking, the communication unit 140 transmits the result of determining whether or not to drink and the degree of drinking to a pre-designated destination (eg, a control center or a hospital).

4 is a flowchart illustrating a method for determining drinking using bio-signals according to an embodiment of the present invention.

Referring to FIG. 4 , the control unit 130 detects a designated specific bio-signal (eg, PPG signal) through the bio-signal detector 110 (S110).

When a specific bio-signal (eg, PPG signal) designated as described above is detected, the controller 130 performs pre-processing on the bio-signal (eg, PPG signal) (S120) (see FIG. 5). ).

FIG. 5 is a flowchart for explaining the pre-processing process for the bio-signal in more detail in FIG. performs high pass filtering to block low frequency bands and low pass filtering to block high frequency bands from the biosignal (S121 in FIG. 5).

At this time, the filtering (eg, high pass filtering, low pass filtering) may be processed using a physical filter.

Then, the control unit 130 takes a derivative of the filtered biosignal (eg, PPG signal) (S122), and squares the derivative taken biosignal (eg, PPG signal) again. It is performed (S123).

Next, the control unit 130 averages a predetermined number of points (eg, 5 points) from the squared bio signals to generate one point (ie, 1 point). average) filtering is performed (S124).

After pre-processing the biosignal (eg PPG signal) as described above, the controller 130 determines the peak point ( Peak Point) is detected (S130) (see FIG. 6).

Here, the peak point refers to a point having a maximum value for each period in the biosignal (eg, PPG signal) waveform as shown in FIG. 8 .

FIG. 6 is a flowchart for more specifically explaining the process of detecting a peak point in a biosignal in FIG. 4. In order to detect the peak point, in this embodiment, zero crossing (Zero Crossing) method and Adaptive Threshold method are used together.

Here, the zero crossing method is a method of differentiating the biosignal (eg, PPG signal) and then detecting a point where it meets 0 as a peak point.

And, the adaptive threshold method first detects peaks of signals for a predetermined time period (eg, for 6 seconds), then detects the maximum value among them, assumes that it is P1, and sets the first threshold value When (TH1) is 3/4*P1, the subsequent threshold value is calculated according to Equation 1 below.

In this embodiment, in order to increase the peak point detection rate, the zero crossing method and the adaptive threshold method having the above operating characteristics are simultaneously used (S131).

On the other hand, the biosignal (eg PPG signal) may include sudden noise (eg impulse noise) under the influence of surrounding circumstances, and when such noise is included in the biosignal (eg PPG signal), the above two methods ( Example: Even if both the zero-crossing method and the adaptive demarcation method) are applied, an erroneous peak point may be detected.

Therefore, in order to interpolate the biosignal (eg, PPG signal) including noise as described above, the following search back algorithm is applied in the present embodiment (S132).

For example, the search back algorithm stores peak-to-peak intervals (PPi) between peaks (peak points) in units of a pre-specified number (eg, 5), Take the average (i.e. average PPi). If there is a difference between this average value and the currently calculated PPi value by more than a predetermined reference value (eg, 20%), it is recognized as an erroneous PPi value, and the current PPi value is replaced with the average PPi value.

As described above, the control unit 130 simultaneously applies the zero crossing method and the adaptive threshold method, and additionally applies a search back algorithm to a biosignal (eg, PPG signal). ), peaks (peak points) are detected (S133).

FIG. 7 is a flowchart illustrating a method of determining whether or not drinking and the degree of drinking using parameters obtained through heart rate variability (HRV) analysis in FIG. 4, and FIG. As an example diagram showing a part of HRV clinical data according to, when peaks (peak points) are detected in a biosignal (eg, PPG signal) as described above, the heart rate variability (HRV) is calculated using the detected peaks (peak points). Extraction and analysis (e.g., time series analysis, frequency series analysis, etc.) are performed, and drinking status and alcohol consumption are determined using parameters (e.g., NN50, RMSSD, HR std, pNN50, etc.) obtained through the analysis of the heart rate variability (HRV) Determine degree (e.g. level of drinking at least 3 levels).

As shown in FIG. 7 , the controller 130 calculates parameters (eg, NN50, RMSSD, HR std, pNN50, etc.) through heart rate variability (HRV) analysis (S140).

When parameters are calculated through the analysis of heart rate variability (HRV) as described above, parameters having a correlation among the parameters are classified into a first group (NN50, RMSSD) and a second group (HR std, pNN50), A first parameter analysis is performed using the parameters of the first group (S141), and a second parameter analysis is performed using the parameters of the second group (S142).

Here, the NN50 means the number of consecutive NN intervals showing a difference longer than a predetermined reference time (eg, 50 ms) in the NN interval (PPi).

The NN (Normal beat-to-Normal-beat interval) means all normal beats except for abnormal beat intervals that usually appear as arrhythmia.

In addition, the RMSSD is the square root of the mean square of successive NN intervals, and is a parameter for evaluating the parasympathetic nerve control ability of the heart.

Also, the HR std is a standard deviation of the heart rate and is a parameter representing a change in HR.

Also, the pNN50 is a parameter obtained by converting the frequency of NN50 into a percentage.

Accordingly, the control unit 130 determines the degree of drinking by ANDing the parameter values in the first group through the first parameter analysis (S141) (S143).

For example, if the parameter NN50 in the first group is greater than the first reference value (eg 10) and the RMSSD is greater than the first reference value (eg 50), the drinking degree is low, NN50 is greater than the second reference value (eg 15), and the RMSSD If is greater than the second reference value (eg 100), the drinking degree is medium, if NN50 is greater than the third reference value (eg 20), and RMSSD is greater than the third reference value (eg 150), the drinking level is high.

In addition, the control unit 130 performs an AND operation on parameter values in the second group through the second parameter analysis (S142) to determine the degree of drinking (S144).

For example, if the parameter HR std in the second group is greater than the first reference value (eg 10) and the pNN50 is greater than the first reference value (eg 10), the drinking level is low and the HR std is greater than the second reference value (eg 15) , If pNN50 is greater than the second reference value (eg, 15), the drinking level is medium, and if HR std is greater than the third reference value (eg, 20) and pNN50 is greater than the third reference value (eg, 20), the drinking level indicates a phase. .

As described above, when the degree of drinking is determined through the first parameter analysis (S141) and the second parameter analysis (S142), the controller 130 performs an OR operation on each parameter analysis result (S145), and finally The drinking determination result is output (S146).

If there is a difference between the first and second parameter analysis results, a higher (or lower) drinking level may be output as the final drinking determination result according to a predetermined criterion.

At this time, in the present embodiment, the drinking degree is classified into three stages (eg, high, medium, and low), but is not limited thereto, and in another embodiment, the drinking degree is divided into more or less stages to determine the drinking degree. Note that there may be

As described above, the present embodiment enables the user to determine whether or not the user has been drinking and the degree of drinking by using the user's bio-signal detected through a device worn or attached to the user's body, and even if the user is not directly face to face, at a distance. There is an effect of enabling real-time determination of whether or not drunk through communication.

The present invention has been described above with reference to the embodiments shown in the drawings, but this is only exemplary, and those skilled in the art can make various modifications and equivalent other embodiments. you will understand the point. Therefore, the technical protection scope of the present invention should be determined by the claims below.

110: bio-signal detection unit 120: drinking determination data storage unit
130: control unit 140: communication unit

Claims (20)

a bio-signal detection unit that detects a photoplethysmogram (PPG) among bio-signals of the user; and
A control unit for determining whether or not drinking and the degree of drinking through extraction and analysis of heart rate variability (HRV) using the biosignal;
The control unit,
When a specific bio-signal designated through the bio-signal detector is detected,
Pre-processing is performed on the biosignal, peak points are detected in the preprocessed biosignal, and heart rate variability (HRV) is extracted and analyzed using the detected peak points. , Using the parameters obtained through the analysis of the heart rate variability (HRV), determining whether or not drinking and the degree of drinking,
The control unit,
When detecting a peak point in the biosignal,
In preparation for the case where the impulse noise is included in the biosignal, a search back algorithm is applied to interpolate the biosignal including the impulse noise.
The method of claim 1, wherein the bio-signal detector,
A drinking discrimination device using bio-signals, characterized in that it comprises a multi-channel photoplethysmogram (PPG) module in which a plurality of PPG sensors are combined into one module.
The method of claim 1, wherein the drinking discrimination device using the biosignal,
Drinking that stores at least one of bio-signal data detected through the bio-signal detector, an algorithm for processing the bio-signal data to determine whether or not to drink and the degree of drinking, and processing data generated in a signal processing process through the algorithm. A drinking discrimination device using biosignals, characterized in that it further comprises a determination data storage unit.
The method of claim 3, wherein the drinking determination data storage unit,
A drinking discrimination device using biosignals, characterized in that it is included as an external type or as a built-in type built into the control unit.
The method of claim 1, wherein the drinking discrimination device using the biosignal,
When the control unit determines whether or not to drink and the degree of drinking, the communication unit for transmitting the determination result of whether or not to drink and the degree of drinking to a pre-designated destination;
delete The method of claim 1, wherein the preprocessing of the biosignal,
Performing high pass filtering to block low frequency bands and low pass filtering to block high frequency bands from the biosignal;
Performing the square after taking the differential for the biosignal that has passed through the filtering,
The drinking discrimination device using the biosignal, characterized in that it comprises a moving average filtering for generating one point by taking an average of a predetermined number of points in the squared biosignal.
The method of claim 1, wherein the control unit,
When detecting a peak point in the biosignal,
In order to increase the peak point detection rate, a drinking discrimination device using a biosignal characterized by simultaneously applying a zero crossing method and an adaptive threshold method.
The method of claim 1, wherein the search back algorithm,
After storing the interval (PPi) between peak points in a pre-specified number of units and taking the average (average PPi), if there is a difference between this average value and the currently calculated PPi value by more than the pre-specified reference value, an incorrect PPi value is generated. A drinking discrimination device using biosignals, characterized in that the algorithm recognizes and substitutes the current PPi value with the average PPi value.
According to claim 1,
The parameter calculated through the analysis of the heart rate variability (HRV) is,
At least one of NN50, RMSSD, HR std, and pNN50;
The NN50 is a parameter indicating the number of consecutive NN intervals in which the NN (Normal beat-to-Normal-beat interval) interval (PPi) shows a difference longer than a predetermined reference time, and the RMSSD is the average of consecutive NN intervals As the square root of the square, it is a parameter that evaluates the parasympathetic nerve control ability of the heart, the HR std is the standard deviation of the Heart Rate, which is a parameter representing the change in HR, and the pNN50 is a parameter obtained by converting the frequency of the NN50 into a percentage A drinking discrimination device using biosignals, characterized in that.
The method of claim 1, wherein the control unit,
The parameters calculated through the analysis of the heart rate variability (HRV) are classified into a first group (NN50, RMSSD) and a second group (HR std, pNN50), and a first parameter analysis and a second parameter analysis are performed, respectively. When the degree of drinking is determined through the analysis of the first and second parameters, an OR operation is performed on the results of the analysis of each parameter, and a final drinking determination result is output.
The method of claim 11, wherein the control unit,
Through the first parameter analysis, the parameter values in the first group are ANDed to determine the degree of drinking, but if the degree of drinking is determined in three stages,
If the parameter NN50 in the first group is greater than the first reference value and the RMSSD is greater than the first reference value, the drinking degree is low, if NN50 is greater than the second reference value and the RMSSD is greater than the second reference value, the drinking degree is medium, and NN50 is the third reference value and if the RMSSD is greater than the third reference value, the drinking degree is determined as a phase.
The method of claim 11, wherein the control unit,
Through the analysis of the second parameter, the parameter values in the second group are ANDed to determine the degree of drinking, but if the degree of drinking is determined in three stages,
If the parameter HR std in the second group is greater than the first reference value and pNN50 is greater than the first reference value, the drinking degree is low, and if the HR std is greater than the second reference value and the pNN50 is greater than the second reference value, the drinking degree is medium, and the HR std is greater than the second reference value If it is greater than the third reference value and pNN50 is greater than the third reference value, the drinking degree is judged as a phase.
detecting a photoplethysmogram (PPG) of the user's bio-signals by a bio-signal detection unit;
performing pre-processing on the bio-signal by a controller;
detecting, by the control unit, peak points in the preprocessed biosignal;
performing, by the control unit, extraction and analysis of heart rate variability (HRV) using the detected peak points; and
Determining, by the control unit, whether or not drinking and the degree of drinking using parameters obtained through the analysis of the heart rate variability (HRV);
In the step of detecting peak points in the biosignal,
The control unit,
In preparation for the case where the impulse noise is included in the biosignal, a search back algorithm is additionally applied to interpolate the biosignal including the impulse noise.
The method of claim 14, wherein the pre-processing of the bio-signal comprises:
the control unit,
After performing high pass filtering and low pass filtering on the biosignal, taking a derivative of the filtered biosignal, performing squaring, and then squaring the biosignal, A drinking discrimination method using bio-signals, comprising the step of performing moving average filtering to generate one point by taking an average of a predetermined number of points.
The method of claim 14, wherein in the step of detecting peak points in the biosignal,
The control unit,
In order to increase the peak point detection rate, a drinking discrimination method using biosignals, characterized in that a zero crossing method and an adaptive threshold method are simultaneously applied.
According to claim 14,
The parameter calculated through the analysis of the heart rate variability (HRV) is,
At least one of NN50, RMSSD, HR std, and pNN50;
The NN50 is a parameter indicating the number of consecutive NN intervals in which the NN (Normal beat-to-Normal-beat interval) interval (PPi) shows a difference longer than a predetermined reference time, and the RMSSD is the average of consecutive NN intervals As the square root of the square, it is a parameter that evaluates the parasympathetic nerve control ability of the heart, the HR std is the standard deviation of the Heart Rate, which is a parameter representing the change in HR, and the pNN50 is a parameter obtained by converting the frequency of the NN50 into a percentage A drinking discrimination method using biosignals, characterized in that.
According to claim 14,
In order to determine whether or not drinking and the degree of drinking using the parameters,
The control unit,
The parameters calculated through the analysis of the heart rate variability (HRV) are classified into a first group (NN50, RMSSD) and a second group (HR std, pNN50), and a first parameter analysis and a second parameter analysis are performed, respectively. When the degree of drinking is determined through the analysis of the first and second parameters, an OR operation is performed on the result of the analysis of each parameter, and a final drinking determination result is output.
The method of claim 18, wherein the control unit,
Through the first parameter analysis, the parameter values in the first group are ANDed to determine the degree of drinking, but if the degree of drinking is determined in three stages,
If the parameter NN50 in the first group is greater than the first reference value and the RMSSD is greater than the first reference value, the drinking degree is low, if NN50 is greater than the second reference value and the RMSSD is greater than the second reference value, the drinking degree is medium, and NN50 is the third reference value and if the RMSSD is greater than the third reference value, the degree of drinking is determined as a phase.
The method of claim 18, wherein the control unit,
Through the analysis of the second parameter, the parameter values in the second group are ANDed to determine the degree of drinking, but if the degree of drinking is determined in three stages,
If the parameter HR std in the second group is greater than the first reference value and pNN50 is greater than the first reference value, the drinking degree is low, and if the HR std is greater than the second reference value and the pNN50 is greater than the second reference value, the drinking degree is medium, and the HR std is greater than the second reference value If it is greater than the third reference value and pNN50 is greater than the third reference value, the drinking degree is judged as an award.

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