KR101033035B1 - Health diagnostic controlling method of pulse wave analysis apparatus - Google Patents

Abstract

PURPOSE: A health diagnostic controlling method of a pulse wave analysis apparatus is provided to help a non-specialist to recognize health conditions according to a measurement result by automatically analyzing the measurement result and displaying it through a visual display unit. CONSTITUTION: In a health diagnostic controlling method of a pulse wave analysis apparatus, a measurement unit measures photoplethysmography on which peripheral blood vessels are concentrated. A controller measures a PPG signal by a certain period(S201). The average heart rate and average pulse wave of a subject using PPG signal data and body index which are outputted from an A/D conversion unit(S203-S205). The waveform and pattern of the average heart rate and average pulse wave are analyzed(S207). Analyzed detail information is displayed through a display unit(S219).

Description

HEALTH DIAGNOSTIC CONTROLLING METHOD OF PULSE WAVE ANALYSIS APPARATUS}

The present invention relates to a method for controlling health diagnosis of a pulse wave analyzing apparatus, and specifically, having a cardiovascular disease through volumetric pulse wave, acceleration pulse wave, and heart rate variability obtained by measuring an arterial wave caused by a change in pressure and aperture of a peripheral blood vessel. The present invention relates to a method for controlling a health diagnosis of a pulse wave analyzing apparatus for determining health status such as progression or hardness of blood vessels, and diagnosing the degree of stress due to an autonomic nervous system abnormality so that the user and the examinee can easily display it. .

Pulse wave is a pulse formed by the pulse generated by the heartbeat transmitted to the peripheral nerve along the blood vessel wall. The pulse wave, which records the temporal change of intravascular pressure, and the vascular volume due to the expansion and contraction of the peripheral blood system It is divided into the volumetric pulse wave that recorded the change.

Particularly, plethymography is mostly measured by photoelectric method that measures the change of absorbance by irradiating light beam of constant wavelength that is sensitively absorbed by hemoglobin oxidized to the part where dense arterial network such as fingertip or auricle is developed. At this time, since the microscopic change of the volumetric pulse wave is not obvious, the acceleration pulse wave (Acceleration photoplethymogram) represented by the graph in the form of acceleration is derived simultaneously by second derivative.

Through the pattern change and analysis of the acceleration pulse wave, it is possible to diagnose the degree of aging or abnormality such as the heart, vascular system, pump function, and arteriosclerosis, and the health state of the human body. Various types of pulse wave analyzers have been proposed to mechanically and electrically discriminate diseases, health conditions, and the like by analyzing the and quantitatively calculating the components of partial waves.

For example, the Republic of Korea Patent No. 10-0368021 uses the characteristic that the amount of hemoglobin that absorbs light, such as infrared light, increases in the blood when the volume of blood in the blood vessel is widened. Disclosed is a pulse wave analysis device for detecting volumetric pulse wave of peripheral blood vessels by measuring permeation, measuring the state of health and the age of blood vessels, and analyzing the time.

On the other hand, the autonomic nervous system is divided into sympathetic and parasympathetic nerves affect the heart, various organs and blood vessels and constantly work to maintain the homeostasis of the human body. Therefore, after separating the instantaneous heart rate from the pulse wave measured using the photoplethysmography (PPG) measuring means, the heart rate variability (HRV) signal processing technology representing the periodic rate of change of heart rate over time is introduced. Quantitative analysis of the balance of sympathetic and parasympathetic nerves by using this equipment, and the equipment to examine the degree of stress and the balance of autonomic nerves and cardiovascular function at the same time is widely used.

However, since most of these pulse wave analyzers are provided in medical institutions such as hospitals, they are provided only to display the absolute values measured. Therefore, it is difficult to self-diagnose, so that the results should be referred to a separate chart or analyzed by a specialist. There is a hassle and inconvenience.

Accordingly, the inventors of the present invention have made and completed the present invention while continuously studying to develop a pulse wave analysis apparatus that can easily understand and confirm the test results and the health status by emphasizing the above-mentioned matters and problem solving.

Accordingly, an object of the present invention is to provide a method for controlling a health diagnosis of a pulse wave analyzing apparatus for comparing and analyzing a pulse wave and a heart rate variability of a subject with a database to diagnose a state of health and a stress level, and to transmit the information as easy to understand information. It is.

In order to achieve the above object, the present invention provides a method of measuring a PPG signal from a measurement target, obtaining an average heart rate and pulse wave height of a measurement target for a predetermined time period using the measured PPG signal, and measuring the average heart rate and Accumulating waveform patterns of the pulse wave height to form a data group, calculating a hemoglobin elasticity index (EEI), an overlapping expansion index (DDI), and a duplicate elasticity index (DEI) on the data group; Correlation of the group's waveform pattern, glomerular elasticity index (EEI), overlapping extension index (DDI), and overlapping elasticity index (DEI) with each of the exponential values of the arteriosclerosis index for detailed explanation. Analysis of the database for each waveform type associated with the waveform type, heart rate, pulse wave height, effective waveform and hematopoietic elasticity index (EEI), overlap extension index (DDI) and duplicate elasticity index (DEI). It provides a health diagnostic control method of the pulse wave analysis device comprising processing and displaying the bit.

The present invention provides a method of measuring a PPG signal from a measurement target, analyzing a frequency range of the measured PPG signal, loading descriptive data on a corresponding frequency, and analyzing the autonomic nervous system through frequency range analysis of the PPG signal. Quantitatively analyzing the degree of balance, displaying the autonomic nervous system activity area according to the degree of balance of the autonomic nervous system, and processing a comment on the corresponding area compared with a database storing a stress index analysis comment; It provides a health diagnosis control method of the pulse wave analysis apparatus comprising the step of displaying the frequency range analysis results of the signal and the analysis comment of the database for the detailed description of the results by type.

The present invention having the above-mentioned means for solving the problem is to measure the pulse wave of the subject using the PPG measuring means and to calculate the acceleration pulse wave, and to measure the heart rate variability through the pattern and frequency analysis of the acceleration pulse wave, and compared with the database After analyzing the state and stress index of the vascular function system, the results are automatically interpreted in the form of explanatory texts and delivered as quantitative information through visual display means. There is a very beneficial effect that can be diagnosed.

1 is a block diagram schematically showing the internal configuration of the pulse wave analysis apparatus according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a control process for accelerating pulse wave measurement in a health diagnosis control method of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention.
FIG. 3 is a flowchart illustrating a control process for measuring heart rate variability in a health diagnosis control method of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention.
4 is an exemplary diagram of an acceleration pulse wave test result screen displayed on a display unit of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention. FIG. 4A is a display screen for one minute to be measured, and FIGS. 4B and 4C show the result after measurement. Screen.
5 is an exemplary view showing a heart rate variability test result screen displayed on a display unit of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention, FIG. 5A is a display screen for 5 minutes to measure, and FIGS. 5B and 5C are results after measurement It is a display screen.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Prior to this, terms to be described below are defined in consideration of functions in the present invention, and it should be understood that they should be interpreted as meanings commonly used in the technical field and concept corresponding to the technical idea of the present invention.

In addition, when it is determined that the detailed description of known functions or configurations related to the present invention may obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a block diagram schematically showing the internal configuration of a pulse wave analysis apparatus according to an embodiment of the present invention, as shown in the pulse wave analysis apparatus according to an embodiment of the present invention is a measuring unit 110, amplification and filtering unit ( 120, an A / D conversion unit 130, a control unit 140, a storage unit 150, a display unit 160, and an input unit 170.

First, the measuring unit 110 is a photonic pulse wave (Photoplethysmography / PPG) reflecting the heart rate, blood oxygen saturation, blood vessel contraction and swelling, etc., which appear in a site where many peripheral blood vessels of the human body are gathered, such as a finger, a toe, or an auricle. Measure

That is, the measuring unit 110 uses the principle of hemoglobin in the blood absorbing light of a specific wavelength (light of infrared band) and the absorbance of light according to blood flow of blood vessels, and according to the heart rate, according to the heartbeat. Measuring the amount of blood flow through the light emitting diodes, which are infrared light sources, phototransistors that sense light reflected from the light emitting diodes to the examinee's body, and barriers for isolating them from each other. It is configured to be snapped like a forefinger to the fingertips, and converts the change of light blood flow with time output from the light receiving element into an electrical signal to measure the photoelectric pulse wave signal from it.

Therefore, the light of the infrared band output from the light emitting diode is transmitted through the surface of the subject's finger and then reflected and incident to the photo transistor, and the photo transistor receives the light and converts it into an electrical signal. At this time, the on / off interval of the light emitting diode is adjusted under the control of the controller 140.

The amplifying and filtering unit 120 amplifies the signal output from the measuring unit 110 to a predetermined level, filters the noise component, and then inputs it to the A / D converter 130.

The A / D converter 130 converts an analog signal output from the amplifying and filtering unit 130 into a digital form and then provides the converted signal to the controller 140.

The controller 140 controls the overall operation of the pulse wave analyzer according to the control program stored in the storage 150.

In addition, the control unit 140 receives the information on the subject, using the database stored in the storage unit 150, the measurement result and the diagnostic result and analysis of the average heart rate, average pulse wave height, gumo elasticity index (EEI), expansion Information including the result of calculating the index DDI and the overlapping elasticity index DEI is displayed on the display unit 160 and stored in the storage unit 150.

That is, the controller 140 uses the PPG signal data output from the A / D converter 130 and the body index information of the examinee to obtain diagnostic information including the average heart rate, average pulse wave height, minimum blood pressure, and peak blood pressure of the examinee. Obtaining and comparing the results using the diagnostic program stored in the storage unit 150 to diagnose the state of health of the subject.

Here, the average heart rate of the examinee can be obtained by counting the number of peaks in the PPG signal data and converting the number at 1 minute intervals, and the minimum blood pressure and the highest blood pressure of the examinee are obtained by calculating the time difference between the PPG peaks. Can be obtained by comparing with information.

In addition, the control unit 140 includes a measurement selection mode for selecting the PPG and HRV measurement of the examinee, HRV measurement is analyzed by the waveform of the heart rate variability (PP) through the PPG (Heart Rate Variability) to analyze the activity of the autonomic nervous system Quantitative analysis can visualize the body's response to stress and identify current health and psychophysiological stability.

When the storage command is received through the input unit 170, the controller 140 stores the health state information of the examinee being output to the display unit 160 in the storage unit 150, and deletes the health state information of the examinee.

The storage unit 150 stores various control programs and processing results. In addition, the waveform pattern and arteriosclerosis index (Ejection Elastic Index / EEI) of the aortic elasticity, the dicrotic dilation index (DDI) of the arterial dilatation index, Dicrotic Elastic Index (DEI) of the In this case, it is possible to analyze comment information about arterial elasticity and diagnosis information including heart rate, trough blood pressure, and peak blood pressure of subjects. The database can be used to diagnose the stress index according to the balance of the autonomic nervous system.
Table 1 below illustrates the information stored in this arteriosclerosis index database.

The display unit 160 displays the processing result of the controller 140 to inform the user, such as the examinee, of the examinee's health state visually or audibly.

In addition to the general numeric keys and function keys, the input unit 170 is provided with a measurement key for selecting a PPG measurement and an HRV key for selecting an HRV measurement.

FIG. 2 is a flowchart illustrating a control process for accelerating pulse wave measurement in a health diagnosis control method of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention.

Referring to FIG. 2, the controller 140 measures a PPG signal at predetermined time intervals (S201). According to the user's selection mode, the average heart rate and the average pulse wave height of the examinee are sequentially obtained using the PPG signal data output from the A / D converter 130 and the body index information of the examinee (S203 and S205).

Next, the waveform type and pattern of the average heart rate and pulse wave height are analyzed (S207). At this time, the data of the waveform measured for 1 minute is accumulated and compared with the data of waveform type and inflection point, and the frequency is extracted for the normal waveform except the lost waveform. If an abnormal waveform is formed (S209), error processing is performed to return to the step of obtaining the average pulse wave height (S208).

Next, it is determined whether there is an effective data group according to the average heart rate and the pulse wave waveform pattern accumulation operation (S211). As a result of the determination, if there is a valid data group, the EGF, DDI, and DEI are sequentially calculated for the data group (S213, S215, S217). If no valid data group exists, return to the step of obtaining the average pulse wave height.

Next, the waveform pattern of the data group is compared with the pattern database, and the detailed description of the waveform type, heart rate, pulse wave, and effective waveform associated with the result is processed (S219).

Next, the hematopoietic elasticity index (EEI), the overlapping expansion index (DDI) and the overlapping elasticity index (DEI) calculated in the step are compared with the arteriosclerosis index database, and the hemoglobin elasticity index (EEI), the overlapping expansion index (DDI) and Detailed description of each of the overlapping elasticity index (DEI) is sequentially processed (S221).

Next, the detailed description processed in step S219 is displayed through the display unit 160, and when a signal is input through the input unit 170 (S225), the detailed description processed in step S221 is displayed through the display unit 160 ( S227).

Thereafter, when the redisplay signal through the input unit 170 is input (S229), the process returns to step S223, and when there is no signal input, the process ends.

Here, the above-described acceleration pulse wave test result may be output through the document medium according to the selection of the examinee or the user.

FIG. 3 is a flowchart illustrating a control process for measuring heart rate variability in a health diagnosis control method of a pulse wave analyzing apparatus according to an exemplary embodiment of the present invention.

Referring to FIG. 3, the controller 140 measures a PPG signal at a predetermined time (S301). Then, the change in the RR interval of the PPG signal data output from the A / D converter 130 according to the user's selection mode is separated into waveforms for each frequency band and analyzed at 5 minute intervals (S303), and then the The frequency value description data is loaded (S305).

Next, by analyzing the frequency range of the PPG signal, the degree of balance of the autonomic nervous system, that is, the relative ratio of the sympathetic nerve and the parasympathetic nerve, is quantitatively analyzed to determine whether it is normal (S307 / S309 / S311). At this time, if the sympathetic nerve is greater than the parasympathetic nerve, the subject's nervous anxiety, anxiety, excitement, blood pressure rise, headache and other symptoms and conditions are judged (S308) to display the autonomic nervous system activity area, the sympathetic nerve is higher than the parasympathetic nerve When the test subject is depressed, lethargic or dizziness is determined by the signs and conditions (S310) to display the autonomic nervous system activity area.

Next, the autonomic nervous system activity area according to the balance of the autonomic nervous system is displayed, and the comment on the corresponding area is processed by comparing with the stress index database (S313).

Next, the detailed description of the frequency range analysis result of the PPG signal is displayed through the display unit 160 (S315), and when the signal is input through the input unit 170 (S317), the stress index result is displayed through the display unit 160. To display (S319).

Thereafter, when the redisplay signal through the input unit 170 is input (S321), the process returns to step S315, and when there is no signal input, the process ends.

Here, the above-described heart rate variability test result may be output through a paper medium according to the selection of the examinee or the user.

Meanwhile, various screens are displayed on the display unit 160 of the pulse wave analyzing apparatus according to the embodiment of the present invention according to the operation of the controller 140. That is, as shown in Figures 4a to 4c heart rate, pulse wave, effective waveform, volumetric pulse wave, acceleration pulse wave graph, blood flow volume, blood vessel type, blood vessel age, aortic elasticity, arterial dilatation, arterial elasticity and the above results A screen for the acceleration pulse wave test result including a detailed description column indicating the health condition of the examinee is displayed.

Also, as shown in FIGS. 5A to 5C, a graph of the sympathetic nervous system and the parasympathetic nervous system and the change in the RR intervals between the heartbeats are classified into waveforms for each frequency band (TP, VLF, LF, HF), and autonomy. The heart rate variability test result screen including a diagram indicating an active state of the nervous system and a detailed description column expressing the stress state of the examinee in a text by combining the above results is displayed.

On the other hand, the present invention is not limited to the above-described embodiment and the accompanying drawings, it is possible to change to other embodiments equivalent to substitutions and equivalents within the scope without departing from the technical spirit of the present invention usually in the art. It will be evident to those who have knowledge of.

110: measuring unit
120: amplification and filtering unit
130: A / D converter
140: control unit
150: storage unit
160: display unit
170: input unit

Claims (2)

Measuring a PPG signal from a measurement object;
Obtaining an average heart rate and pulse wave height of a measurement target for a predetermined time period through the measured PPG signal;
Accumulating the waveform patterns of the average heart rate and pulse wave height to form a data group;
Calculating a hematopoietic elasticity index (EEI), an overlapping expansion index (DDI) and an overlapping elasticity index (DEI) on the data group;
The waveform pattern of the data group, the hematopoietic elasticity index (EEI), the overlapping expansion index (DDI), and the overlapping elasticity index (DEI) are compared with the database storing the arteriosclerosis index analysis comments for detailed description of each index value type. Processing and displaying analytical comments in the database for each of the waveform types, heart rate, pulse wave height, effective waveforms and hematopoietic elasticity index (EEI), overlap extension index (DDI) and duplicate elastic index (DEI) associated with the results;
Health diagnostic control method of the pulse wave analysis device comprising a.
Measuring a PPG signal from a measurement object;
Analyzing the frequency range of the measured PPG signal and loading explanatory data for the corresponding frequency;
Quantitatively analyzing the balance of the autonomic nervous system by analyzing the frequency range of the PPG signal;
Displaying an autonomic nervous system activity area according to the balance of the autonomic nervous system, and comparing a comment on the corresponding area with a database in which a stress index analysis comment is stored;
Displaying an analysis comment of the database for detailed description of the frequency range analysis result of the PPG signal and the type of the result;
Health diagnostic control method of the pulse wave analysis device comprising a.

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