KR20070097725A - Diurnal variation monitering system for biological signal analysis - Google Patents

Abstract

A diurnal variation monitoring system for analyzing biological signals is provided to improve accuracy in an analyzed result by monitoring the biological signal corresponding to a current exercise state of a user. A biological signal measuring unit(100) includes a brain wave detection unit, an electrocardiogram sensor, a blood pressure measuring unit, a pulse measuring unit, and a temperature measuring unit. An acceleration sensor(200) measures an exercise amount of a user. A signal amplifier(300) is connected to an output side of the biological signal measuring unit and the acceleration sensors and magnifies a sensed signal. A signal converter(400) is connected to the output side of the signal magnifier and processes the received signal. A controller(500) determines a diurnal variation and the biological signal of the user, stores the result on a memory(620), and displays the result on a display(640). The controller generates an alarm signal using an alarm generator(650) when an abnormality is detected, and transmits an alarm signal through communication devices(610,630). Necessary procedures are displayed on a communication apparatus, such as a personal computer(720), a PDA(Personal Digital Assistant)(730), and a cellular phone(740).

Description

Daily Variation Monitering System for Biological Signal Analysis

1 is a block diagram showing a structure of a monitoring system for monitoring a single cycle (diurnal variation) for improving the accuracy and precision according to the present invention.

FIG. 2 is a block diagram illustrating a structure of a fuzzy inference system that distinguishes a single period in a structure of a monitoring system according to the present invention.

Figure 3 is a graph for showing the correlation between the blood pressure and the pulse rate of the daily cycle divided into run, walk, sit and lie measured using a daily cycle (diurnal variation) monitoring system according to the present invention.

<Explanation of symbols for main parts of the drawings>

100: biological signal measuring unit 110: brain wave detection unit

120: ECG detection unit 130: blood pressure detection unit

140: pulse detection unit 150: body temperature detection unit

200: acceleration sensor 300: signal amplifier

400: signal conversion unit 500: control unit

610: wired communication device 620: storage device

630: wireless communication device 640: display unit

650: alarm sound generating unit 710: keypad

720: personal computer 730: PDA

740: Cell Phone

The present invention relates to a monitoring system for distinguishing fluctuations in the daily cycle (sitting, walking, running, lying down = sleeping), and in particular, the biological signals such as electroencephalogram, electrocardiogram, blood pressure, pulse and body temperature are measured by the subject at the time of measuring the biological signal. Since the measured biosignal changes according to the operation state divided into walking, running, and lying down, the biosignal analysis for measuring fluctuations of the single cycle at the same time is performed in the existing biosignal measuring instrument for the analysis of the biosignal which increases accuracy and precision. It is related to a single cycle monitoring system.

In general, the biosignal refers to electroencephalogram, blood pressure, pulse, and body temperature, etc. coming from the human body, and are essential for medical activities such as treating a disease or diagnosing a disease. In addition, due to the rapid aging of the population, the increase in the elderly medical expenses, chronic diseases, single households of the elderly, there is a need for real-time monitoring of the health status of chronic patients or the elderly. In other words, the number of patients who are threatened with health is increasing due to the rapid development of the disease and the high frequency of disease generation due to various environmental factors and changes in diet.

In order to continuously manage the disease patients and check the health, medical devices capable of easily checking the biosignals themselves are being actively researched and developed.

The apparatus for measuring the bio-signals currently being developed and sold was a level for measuring and displaying blood pressure and pulse by manipulating the subject. In order to improve this point, the wearer's body can be easily worn to measure blood pressure, pulse, brain wave, electrocardiogram, etc., and the wearer's bio signal is measured continuously for 24 hours at a predetermined time, and stored as measured data. In addition, biosignal measurement systems are being developed to provide health information for a certain period of time to medical personnel or primary care physicians, and to receive appropriate prescriptions immediately when there is an abnormality in health.

However, the biosignals such as blood pressure, pulse rate, brain wave, electrocardiogram, etc., measured through the biosignal measuring apparatus developed in the conventional portable medical device, have many factors such as temperature, physical activity, sleep, fatigue, stress, and the like. Get mad. For example, in the case of pulse and blood pressure, a significant difference is obtained when measuring during exercise and during sleep respectively. That is, among the many factors that affect the measurement of the biological signal, the biggest variable is the variation of the daily cycle according to physical activity. At present, it is based on the subject's memory or a memo (diary) as a way of knowing the variation of the daily cycle that indicates whether the subject is sitting or walking at the time of measuring the biological signal.

In this way, accurate biosignal analysis can be performed by relying on the memory or memo of the subject for the single-cycle, which is used as a very important reference when reading biosignals such as blood pressure, pulse, brain wave, electrocardiogram and body temperature. There is a need for more scientific methods.

The present invention has been invented in order to meet the above necessity, using the accelerometer together with the biological signal of the subject to be measured from the biosignal measurement sensor, such as brain waves, electrocardiogram, blood pressure, pulse and body temperature, etc. The goal is to provide a system for monitoring the daily variation of the patient to ensure more accurate and realistic data analysis by simultaneously measuring whether the subject is sitting, walking, running or lying. .

The present invention for achieving the above object

EEG detector 110 for detecting EEG, ECG detector 120 for detecting ECG, blood pressure detector 130 for detecting blood pressure, pulse detector 140 for detecting pulse, body temperature A biosignal measuring unit 100 including a body temperature sensing unit 140 for sensing;

An acceleration sensor 200 for measuring a single cycle of a test subject when the biosignal measurement unit 100 measures the biosignal;

A signal amplifier 300 connected to an output side of the biosignal measuring unit 100 and the acceleration sensor 200 to amplify a detection signal;

A signal converter 400 connected to an output side of the signal amplifier 300 to convert a signal;

According to the output signals of the biosignal measuring unit 100 and the acceleration sensor 200, the biosignal of the test subject and the single cycle (the amount of physical activity) are comprehensively determined, and the result is stored in the storage device 620 and the display unit 640. In addition, if it is determined that the health condition is abnormal, the alarm signal is generated through the alarm sound generator 650 and the alarm signal is transmitted to the family, hospital, and emergency center through the wireless and wireless communication devices 610 and 630. Control unit 500 to control the transmission;

A keypad 500 connected to the control unit 500 for inputting a setting range of a test subject; And,

Connected to the output side of the wired communication device 610 and the wireless communication device 630 to transmit the output of the control unit 500 by wire or wireless, when an abnormality occurs in the test subject, the emergency signal is automatically sent out and Communication devices such as a personal computer 720, a PDA 730, and a mobile phone 740 to enable the user to take necessary measures.

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

FIG. 1 is a block diagram illustrating a structure of a monitoring system for monitoring a single cycle (diurnal variation) for improving the accuracy and precision according to the present invention, and FIG. 3 is a diagram illustrating a system for monitoring a dual variation (diurnal variation) according to the present invention. It is a graph to show the correlation between the daily cycle divided into run, walk, sit and lie measured by blood pressure and pulse rate.

As shown in FIG. 1, the biosignal measurement system according to the present invention includes a biosignal measuring unit 100 for detecting a biosignal of an EEG, an electrocardiogram, a blood pressure, a pulse, and a body temperature, and a single period of the test subject. An acceleration sensor 200 for simultaneously measuring whether sitting or walking is provided. The biosignal measuring unit 100 includes an EEG detector 110 for detecting an EEG, an ECG detector 120 for detecting an EKG, a blood pressure detector 130 for detecting a blood pressure, and a pulse for detecting a pulse The sensing unit 140 includes a body temperature sensing unit 140 for sensing a body temperature.

The biosignal measuring unit 100 and the acceleration sensor 200 are configured to input the biosignal of the human body and the state (daily cycle) of the subject at the time of the measurement of the biosignal to the signal amplifier 300 as an electric signal at regular intervals. The amplifier 300 amplifies this signal. The signal converter 400 connected to the output side of the signal amplifier 300 converts the signal and inputs the signal to the controller 500.

The control unit 500 comprehensively determines the wearer's biosignal and the daily cycle, stores the result in the storage device 620, displays the result on the display unit 640, and automatically generates an emergency signal when it is determined that the health condition is abnormal. Through the alarm sound generating unit 650 to generate an emergency signal. In addition, the control unit 500 includes a separate keypad 710 so that the attending physician or specialist can input other information, and converts the biological signal detected from the human body and the single cycle of the subject into electrical signals so that they can be processed. A wired communication device 610 and a wireless communication device 630 are provided to transmit the output of the control unit 500 through wired and wireless communication.

Communication devices such as a personal computer 720, PDA 730, and mobile phone 740 are connected to the output side of the wired communication device 610 and the wireless communication device 630, so that an emergency signal is automatically generated when a problem occurs in the subject. It will be sent out and you will be able to take necessary measures.

Hereinafter, the operational relationship between the components of the biosignal measurement system for distinguishing the amount of physical activity and the variation of the daily cycle according to the present invention will be described.

The biosignal measuring system according to the present invention is configured to be easily and simply worn on the subject's wrist or upper arm. The biosignal measuring unit 100 configured inside the measurement system measures the brain wave, electrocardiogram, blood pressure, pulse and body temperature of the subject. In addition, the acceleration sensor 200 simultaneously measures the circumferential period of the test subject, that is, whether the test subject is sitting or walking while the biosignal is measured. The signals sensed by the biosignal measuring unit 100 and the acceleration sensor 200 are amplified by the signal amplifier 300 and converted by the signal converter 400 and input to the controller 500.

The controller 500 measures the amount of physical activity of the test subject from the mean of absolute difference (MAD), which is an absolute change value of the change in acceleration, that is, the acceleration measured in the biosignal measured by the biosignal measuring unit 100 and the acceleration sensor 200. Will be measured. That is, referring to FIG. 2, when comparing systolic blood pressure, diastolic blood pressure, and pulse rate during the four steps of running, walking, sitting, and lying down, the systolic, diastolic blood pressure, and pulse rate showed a large value in the amount of horizontal and vertical activity in the step of running. In addition, it can be seen that the value is significantly larger than other three levels of activity.

Therefore, MAD (means of absolute difference) which is an absolute mean value of the acceleration signal measured by the acceleration sensor 200 and the biological signal such as EEG, ECG, blood pressure, pulse and body temperature of the test subject measured by the biosignal measurement unit 100 When the amount of physical activity of the test subject measured from the subject is higher than the value set by the attending physician or specialist through the keypad 710 according to the test subject, the control unit 500 generates an alarm sound through the alarm sound generating unit 650.

In addition, the control unit 500 generates an alarm sound and at the same time, a personal computer 720, a PDA 730, and a mobile phone through a wired communication device 610 and a wireless communication device 630 to a family, doctor or professional emergency room. The communication device of 740 automatically transmits that an abnormality has occurred to the inspected subject so as to take necessary measures.

Accordingly, the biosignal measurement system according to the present invention provides a more accurate and substantial analysis of the biosignal data by providing a variation in the single period according to the operating state during the measurement of the biosignal and the biosignal. .

A fuzzy inference system of FIG. 2 consisting of four elements such as a fuzzy purifier, a fuzzy rule, an inferencing machine, and a defuzzy purifier, in which an input data vector is mapped to a scalar output in order to distinguish the variation of a single period. ).

식1

Equation 1

: 가속도센서의 수직방향신호의 평균치

: Average value of vertical direction signal of acceleration sensor

     (LAA, longitudinal accelerometer average)

: 가속도센서의 수평방향신호의 평균치

: Average value of horizontal direction signal of acceleration sensor

     (TAA, transverse accelerometer average)

: 가속도센서의 수직방향신호의 가속도 변화량(전??후차이)의 절대치의 평균치

: Average value of absolute value of acceleration change (before and after) of vertical signal of acceleration sensor

     (L-MAD, longitudinal accelerometer mean of absolute difference)

: 가속도센서의 수평방향신호의 가속도 변화량(전??후차이)의 절대치의 평균치

: Average value of absolute value of acceleration change (before and after) of horizontal signal of acceleration sensor

     (T-MAD, transverse accelerometer mean of absolute difference)

는 입력이고

는 출력(눕기, 앉기, 걷기, 뛰기)이다. 퍼지추론에서는 수학식 (1)과 같은 입출력 쌍으로부터 퍼지규칙의 집합을 생성시켜서

의 대응을 통해 출력을 결정한다. In equation 1

Is input

Is the output (lie, sit, walk, run). In fuzzy inference, a set of fuzzy rules is generated from an input / output pair such as Equation (1)

Determine the output through the correspondence of.

,

의 값이 대부분 존재하는 구간을 여러 구역으로 나눈다. 이 각각의 구역을 눕기, 앉기, 걷기, 뛰기라하며 각 구역에 퍼지 멤버쉽 함수를 할당한다.

(LAA, TAA, L-MAD, T-MAD)에 대해 4개 구역(Low, Middle, High, Very High)으로, 그리고 y (membership for states)를 4개 구역(Low, Middle, High, Very High)으로 나눈 것이다. 여기서 소속함수의 형태는 삼각형과 사다리꼴형을 이용한다.variable

,

Divide the interval where most of the values exist into several zones. Each of these zones is called lying, sitting, walking, and running, and we assign fuzzy membership functions to each zone.

4 zones (Low, Middle, High, Very High) for (LAA, TAA, L-MAD, T-MAD) and 4 zones (Low, Middle, High, Very High) Divided by). The membership function uses triangles and trapezoids.

Membership function assignment using trapezoid of each input data is as follows.

LAA: lying down = [-2 -2 0.2 0.35]

Sitting = [0.35 0.75 0.90 0.95]

Walking = [0.75 0.95 1 1.1]

Run = [1 1.2 2 2]

TAA: lying down = [-2 -2 -0.5 -0.2]

Sitting = [-0.4 -0.17 -0.1 0]

Walking = [-0.2 -0.1 0.05 0.1]

Run = [0 0.15 2 2]

L-MAD: Lying Down = [0 0 1 1.5]

Sitting = [0 0.2 0.8 1.5]

Walking = [1.5 2 4.5 6]

Run = [5 10 35 35]

T-MAD: Lie down = [0 0 1 1.5]

Sitting = [0 0 1 2]

Walking = [0 1 4 5]

Run = [5 7 16 16]

The membership function assignment using the trapezoid of each output data is as follows.

Lie down = [0 0 1 1.5]

Sitting = [0.5 1 2 2.5]

Walking = [1.5 2 3 3.5]

Run = [2.5 3 4 4]

The generation of fuzzy rules is determined using the membership degree of input / output data pairs in each zone, numerical data obtained through experiments and data provided by experts. The following rules are generated by applying fuzzy operators such as AND or OR from the acquired I / O data pairs.

Rule 1: IF LAA is LOW and TAA is LOW, THEN y is lying.

Rule 2: IF LAA is MID and TAA is MID, THEN y is sitting.

Rule 3: IF L-MAD is HIGH and T-MAD is HIGH, THEN y is walking.

Rule 4: IF L-MAD is HIGH and T-MAD is VERY HIGH, THEN y is run.

를 결정하기 위해서 max-min연산을 이용하여

번째 규칙의 if 부분을 다음 <식 2>로 한다. The input LAA, TAA, L-MAD, T-MAD are received from the sensor and inferred according to a predetermined rule. After the reasoning is completed, the state of human body movement is determined through defuzzification process. First find the degree of fulfillment (DOF) of each state from the corresponding membership function for the four inputs, and then the degree of membership of the output.

Use max-min to determine

The if part of the first rule is as follows.

식2

Equation 2

와

는 각각 규칙

에 대한 출력영역과

번째 조건의 입력영역을 나타내고, ??은 최소치 연산자이다.In equation 2

Wow

Each rule

Output area for

Represents the input area of the first condition, and ?? is the minimum operator.

In the fuzzy algorithm, unfuzzy is a process of representing the result of the inference process (a vector expressed as a probability from 0 to 4) as a definite number. In a fuzzy system, the internal representation of the data is a routine fuzzy set, but the output should be one explicit number. To this end, we use the Center of Area (COA) method to find the center of the fuzzy set or the Mean of Maxima method (MOM) of Equation 4 which takes the average of the values with the maximum level.

식 3

Expression 3

는 퍼지규칙 베이스의 개수이고

는 출력영역

의중심이다. here

Is the number of fuzzy rule bases

Is the output area

It is central.

As a method of displaying the amount of exercise according to physical activity, the sum of the average value of the absolute value of the acceleration change by the vertical direction signal of the front and rear acceleration sensor of Equation 4 and the front and rear acceleration sensor of Equation 5 This is expressed as the sum of the average values of the absolute values of the acceleration change amounts of the horizontal signals in the measurement section.

식 4Vertical momentum =

Equation 4

(n) 식 5Horizontal momentum =

(n) Equation 5

As described above, according to the present invention, the single cycle of the test subject using the acceleration sensor together with the biosignal measured using the biosignal measuring sensor for measuring the brain wave, electrocardiogram, blood pressure, pulse and body temperature of the test subject ( By measuring the diurnal variation monitoring system, i.e., whether the test subject is sitting, walking, running or lying, the simultaneous measurement of the diurnal variation results in more accurate and realistic analysis of the biosignal data.

Although the preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited thereto and may be improved or modified by those skilled in the art within the scope of the technical idea of the present invention.

Claims (3)

EEG detector 110 for detecting EEG, ECG detector 120 for detecting ECG, blood pressure detector 130 for detecting blood pressure, pulse detector 140 for detecting pulse, body temperature A biosignal measuring unit 100 including a body temperature sensing unit 140 for sensing; An acceleration sensor 200 for measuring an amount of physical activity of a test subject when the biosignal measurement unit 100 measures the biosignal; A signal amplifier 300 connected to an output side of the biosignal measuring unit 100 and the acceleration sensor 200 to amplify a detection signal; A signal converter 400 connected to an output side of the signal amplifier 300 to convert a signal; According to the output signals of the biosignal measuring unit 100 and the acceleration sensor 200, the biosignal of the test subject and the single cycle (the amount of physical activity) are comprehensively determined, and the result is stored in the storage device 620 and the display unit 640. ) And at the same time, if it is determined that the health condition is abnormal, an alarm signal is generated through the alarm sound generator 650 and an alarm signal is transmitted to the family, hospital, and emergency center through the wired and wireless communication devices (610, 630). Control unit 500 to control to; A keypad 500 connected to the control unit 500 for inputting a setting range of a test subject; And, Is connected to the output of the wired communication device 610 and the wireless communication device 630 for transmitting the output of the control unit 500, wired or wireless, and when an abnormality occurs to the subject, and sends an emergency signal automatically, Sitting using an accelerometer sensor as an additional function to a conventional biosignal measuring instrument including a personal computer 720, a PDA 730, and a mobile phone 740 to allow a subject to take necessary measures Cycle monitoring system divided into walking, running, lying down The method of claim 1, wherein the control unit 500 divides input data into LAA, TAA, L-MAD, and T-MAD, and the input data uses the following values for assignment of a membership function using a trapezoidal shape. Single cycle monitoring system for analyzing bio-signals. LAA: lying down = [-2 -2 0.2 0.35] Sitting = [0.35 0.75 0.90 0.95] Walking = [0.75 0.95 1 1.1] Run = [1 1.2 2 2] TAA: lying down = [-2 -2 -0.5 -0.2] Sitting = [-0.4 -0.17 -0.1 0] Walking = [-0.2 -0.1 0.05 0.1] Run = [0 0.15 2 2] L-MAD: Lying Down = [0 0 1 1.5] Sitting = [0 0.2 0.8 1.5] Walking = [1.5 2 4.5 6] Run = [5 10 35 35] T-MAD: Lie down = [0 0 1 1.5] Sitting = [0 0 1 2] Walking = [0 1 4 5] Run = [5 7 16 16] The method of claim 1 or 2, wherein the control unit 500 divides the output data into lying, sitting, walking, and running, and uses the following values to assign the membership function using the trapezoidal shape. Single cycle monitoring system for analyzing bio-signals. Lie down = [0 0 1 1.5] Sitting = [0.5 1 2 2.5] Walking = [1.5 2 3 3.5] Run = [2.5 3 4 4]

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