KR20220125988A - Blood pressure meter using ballistocardiogram and artificial intelligence technology - Google Patents

Blood pressure meter using ballistocardiogram and artificial intelligence technology Download PDF

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KR20220125988A
KR20220125988A KR1020210029992A KR20210029992A KR20220125988A KR 20220125988 A KR20220125988 A KR 20220125988A KR 1020210029992 A KR1020210029992 A KR 1020210029992A KR 20210029992 A KR20210029992 A KR 20210029992A KR 20220125988 A KR20220125988 A KR 20220125988A
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blood pressure
wrist
measuring device
trajectory
artificial intelligence
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KR102517533B1 (en
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박철구
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주식회사 소프트웨어융합연구소
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1102—Ballistocardiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
    • A61B5/7445—Display arrangements, e.g. multiple display units
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The present invention relates to a blood pressure meter using ballistocardiogram and artificial intelligence technology, which receives a ballistocardiogram signal from a measurer through a ballistocardiogram sensor, and analyzes changes in biometrics (heart rate, respiration, cardiac output, and heart rate variability) to calculate blood pressure levels. The blood pressure meter comprises: a biosignal measuring device (100) for acquiring a ballistocardiogram from a measurer; and an external diagnosis server (200) connected to the biosignal measuring device (100) through a wireless communication network and for receiving the ballistocardiogram acquired by the biosignal measuring device and analyzing the same with artificial intelligence technology to calculate blood pressure levels and predict hypertension. The biosignal measuring device (100) includes: a measuring device body (110) having a display unit (112) formed on one side of the upper surface thereof to display blood pressure levels; a wrist mount unit (120) provided on the other side of the upper surface of the measuring device body (110), and having an arc-shaped seating groove (122) with an opened upper side so that the wrist of the measurer is seated thereon in a wrapped state; a ballistocardiogram sensor (130) installed on the wrist mount unit (120) to obtain a ballistocardiogram signal including heart rate and cardiac output through the wrist of the measurer; and an embedded controller (140) for receiving the ballistocardiogram signal acquired by the ballistocardiogram sensor (130), storing the same in a memory (142), and transmitting the ballistocardiogram signal to the external diagnosis server (200) through a communication module (144). Therefore, the blood pressure meter can provide more accurate information to the measurer.

Description

심탄도와 인공지능 기술을 이용한 혈압측정장치{Blood pressure meter using ballistocardiogram and artificial intelligence technology}Blood pressure meter using ballistocardiogram and artificial intelligence technology

본 발명은 심탄도센서에 의해 감지된 측정자의 심탄도신호를 수신받아 인공지능기술로 생체정보(심박수, 호흡수, 심박출량, 심박수 변이도)의 변화량을 분석하여 혈압수치를 계산하도록 된 심탄도와 인공지능 기술을 이용한 혈압측정장치에 관한 것이다.The present invention receives the heart ballistic signal of the measurer detected by the heart ballistic sensor and analyzes the amount of change in biometric information (heart rate, respiration rate, cardiac output, heart rate variability) with artificial intelligence technology to calculate the blood pressure level and It relates to a blood pressure measuring device using artificial intelligence technology.

생활 수준의 향상과 서구화된 식습관에서 비롯된 만성 질환의 발병이 전 세계적으로 증가하고 있으며, 그 중에서도 고혈압 환자는 꾸준히 증가하고 있다. The incidence of chronic diseases resulting from the improvement of living standards and westernized dietary habits is increasing worldwide, and among them, the number of patients with high blood pressure is steadily increasing.

혈압은 혈관을 따라 흐르는 혈액이 혈관의 벽에 주는 압력으로서, 중요한 생명 징후 중 하나다. 혈압이 비정상적으로 높아지는 고혈압 혹은 비정상적으로 낮아지는 저혈압은 그 자체로도 관리가 필요한 질환일 뿐만 아니라 다양한 다른 질병들의 원인 혹은 위험 인자로서 작용하기 때문에, 혈압을 정확하게 관찰하는 것은 건강 유지를 위해 매우 중요하다 할수 있다.Blood pressure is the pressure exerted on the walls of blood vessels by blood flowing through them, and is one of the important vital signs. Since high blood pressure, in which blood pressure is abnormally high, or hypotension, in which blood pressure is abnormally low, is not only a disease that needs to be managed by itself, but also acts as a cause or risk factor for various other diseases, accurate monitoring of blood pressure is very important for maintaining health. can do.

고혈압은 잘못된 식습관, 가족력, 음주, 흡연, 운동 부족, 스트레스 등 여러 가지 환경적인 영향을 고루 받아 발생하며, 크게 두 종류로 나눌 수 있다.High blood pressure is caused by various environmental influences such as bad eating habits, family history, drinking, smoking, lack of exercise, and stress, and can be broadly divided into two types.

하나는 원인이 되는 질병이 없이 나타나는 '본태성 고혈압'이고, 다른 하나는 신장 질환이나 혈관 이상, 내분비 질환 등으로 인해 이차적으로 발생하는 '이차성 고혈압'이다. 전체 고혈압 환자 중 이차성 고혈압 발생률은 5%이하로 추정되며, 이들 중 높은 빈도를 차지하는 것이 신장 질환에 의한 고혈압이다. 반대로, 본태성 고혈압도 지속될 경우, 신장 질환이 생길 확률이 높아진다. 따라서, 다른 질환의 발병을 예방하고, 고혈압을 치료하기 위해서는 꾸준한 고혈압 판단이 필요하다.One is 'essential hypertension', which occurs without a causative disease, and the other is 'secondary hypertension', which occurs secondary to kidney disease, vascular abnormalities, or endocrine diseases. The incidence of secondary hypertension among all hypertensive patients is estimated to be less than 5%, and among them, hypertension due to kidney disease accounts for a high frequency. Conversely, if essential hypertension persists, the probability of developing kidney disease increases. Therefore, in order to prevent the onset of other diseases and to treat hypertension, it is necessary to continuously determine hypertension.

고혈압 판단은 통상 혈압 측정기기를 이용하여 병원이나 가정에서 혈압수치를 측정하고, 측정된 혈압 수치에 따라 고혈압을 판단하고 있다. 그러나, 혈압 측정기기가 없을 경우에는 전술한 판단 방법은 이용이 불가능하며, 특히 위급한 상황에서의 즉각적인 혈압 측정이 어렵다는 문제가 있었다.For the determination of hypertension, a blood pressure level is usually measured at a hospital or home using a blood pressure measuring device, and hypertension is determined according to the measured blood pressure level. However, if there is no blood pressure measuring device, the above-described determination method cannot be used, and there is a problem in that it is difficult to measure blood pressure immediately in an emergency situation.

더욱이, 일반적으로 사용되는 수은 혈압계(측정부위에 압력을 가하여 서서히 배기시키면서 청진기나 손을 맥박을 감지하여 맥의 시작점과 소실점에 나타나는 수은 기둥 높이로 혈압을 측정)의 경우, 측정부위를 압박하여야만 하기 때문에 혈액순환이 제대로 이루어지지 않아 측정부위가 먹먹해지거나 경우에 따라 고통이 수반되는 문제점이 있었다.Furthermore, in the case of a mercury sphygmomanometer that is generally used (applying pressure to the measurement site and slowly evacuating it, sensing the pulse with a stethoscope or hand, and measuring blood pressure by the height of the mercury column appearing at the start and vanishing points of the pulse), the measurement site must be compressed. Therefore, there was a problem that blood circulation was not performed properly, causing the measurement site to become suffocated or, in some cases, to be accompanied by pain.

이에, 수은 혈압계와 같은 환자의 신체에 착용하는 구조가 아닌 무구속적인 방법으로 생체정보를 취득하여 혈압을 확인하는 기술에 대해 연구는 물론 특허출원되어 있다.Accordingly, research and patent applications have been filed on a technology for checking blood pressure by acquiring biometric information in an unconstrained way rather than a structure worn on the patient's body, such as a mercury sphygmomanometer.

그러나 단순히 생체정보를 취득하여 확인하는 것일 뿐 혈압의 정확도가 높지 않고, 고혈압의 발병여부를 객관적으로 예측하지는 못하였다. However, the accuracy of blood pressure is not high, and it is not possible to objectively predict the onset of hypertension, as it is simply to acquire and confirm biometric information.

공개실용신안공보 제20-2010-0009565호(2010.09.29. 혈압측정장치)Public Utility Model Publication No. 20-2010-0009565 (2010.09.29. Blood pressure measuring device) 공개특허공보 제10-2014-0039408호(2014.04.02. 체형 정보를 이용한 고혈압 판단 모델을 생성하는 장치 및 그 방법, 고혈압 판단 모델을 이용한 고혈압 판단 장치 및 그 방법)Unexamined Patent Publication No. 10-2014-0039408 (April 2014.02. Apparatus and method for generating high blood pressure judgment model using body type information, device and method for high blood pressure judgment using high blood pressure judgment model)

본 발명은 상기한 문제점을 해결하기 위하여 창안된 것으로, 심탄도센서가 구비된 생체신호 측정기 위에 측정자의 손목을 올려놓은 상태로 심탄도신호를 취득한 후 인공지능기술을 이용하여 심탄도신호에서 생체정보를 추출하여 측정자의 혈압수치를 계산하도록 된 심탄도와 인공지능 기술을 이용한 혈압측정장치를 제공함에 있다.The present invention was devised to solve the above problems, and after acquiring a deep trajectory signal with the wrist of the measurer placed on a biosignal measuring device equipped with a deep trajectory sensor, using artificial intelligence technology, biometric information from the deep trajectory signal An object of the present invention is to provide a blood pressure measuring device using deep trajectory and artificial intelligence technology that extracts and calculates the measurer's blood pressure level.

상기의 과제를 해결하기 위한 본 발명의 해결수단은, 측정자의 심탄도 신호를 취득하기 위한 생체신호 측정기(100); 상기 생체신호 측정기(100)와 무선통신망으로 연결되어 생체신호 측정기로부터 취득된 심탄도 신호를 수신받아 인공지능기술로 이를 분석하여 혈압수치 계산 및 고혈압을 예측하는 외부 진단서버(200);로 이루어지고, 상기 생체신호 측정기(100)는, 혈압수치의 표시를 위해 상면 일측에 디스플레이부(112)가 형성된 측정기 본체(110); 상기 측정기 본체(110)의 상면 타측에 구비되고, 측정자의 손목이 감싸여진 상태로 안착되도록 상측이 개구된 호형의 안착홈(122)이 형성된 손목안착부(120); 상기 손목안착부(120)에 설치되어 측정자의 손목을 통해 심박수 및 심박출량을 포함하는 심탄도 신호를 취득하는 심탄도센서(130); 상기 심탄도센서(130)에서 취득된 심탄도 신호를 전달받아 메모리(142)에 저장하고, 통신모듈(144)을 통해 외부 진단서버(200)로 심탄도 신호를 송신하는 임베디드 컨트롤러(140);로 구성된다.The solution of the present invention for solving the above problems, the biosignal measuring device 100 for acquiring the trajectory signal of the measurer; An external diagnosis server 200 that is connected to the biosignal meter 100 through a wireless communication network and receives the ballistic signal obtained from the biosignal measurer and analyzes it with artificial intelligence technology to calculate blood pressure and predict high blood pressure; and , The bio-signal measuring device 100 includes: a measuring device body 110 having a display unit 112 formed on one upper side thereof for displaying blood pressure values; a wrist seating part 120 provided on the other side of the upper surface of the measuring instrument body 110, and having an arc-shaped seating groove 122 with an upper side opened so that the wrist of the measurement person is seated in a wrapped state; a trajectory sensor 130 installed in the wrist seating unit 120 to acquire a trajectory signal including a heart rate and cardiac output through the wrist of a measurer; an embedded controller 140 that receives the trajectory signal obtained from the trajectory sensor 130, stores it in the memory 142, and transmits the trajectory signal to the external diagnostic server 200 through the communication module 144; is composed of

이때, 상기 안착홈(122)의 표면에는 측정자의 손목 밀착을 유도하도록 연질의 탄성층(150)이 설치된 것이 바람직하다.At this time, it is preferable that a soft elastic layer 150 is installed on the surface of the seating groove 122 to induce close contact with the measurer's wrist.

또한, 상기 손목안착부(120)의 상부 일측에는 안착홈(122)에 안착된 손목의 상부를 감싸 유동되지 않게 고정시켜 주도록 일측이 힌지축으로 결합되어 힌지회동되게 손목커버(160)가 구비되고, 상기 손목커버(160)의 타측에는 손목의 상부를 커버한 상태에서 상기 손목안착부(120)의 타측에 부착되도록 탈부착수단(165)이 설치된 것이 바람직하다.In addition, at one side of the upper side of the wrist seating part 120, one side is coupled with a hinge shaft to fix the upper part of the wrist seated in the seating groove 122 so as not to flow, and a wrist cover 160 is provided. , It is preferable that a detachable means 165 is installed on the other side of the wrist cover 160 so as to be attached to the other side of the wrist seating part 120 in a state where the upper part of the wrist is covered.

이때, 상기 탈부착수단(165)은 상기 손목커버(160)와 손목안착부(120)의 서로 마주보는 타측면에 구비된 자성체로 구성될 수 있다.In this case, the detachable means 165 may be formed of a magnetic material provided on the other side of the wrist cover 160 and the wrist seating part 120 facing each other.

여기서, 상기 외부 진단서버(200)는, 무선통신망을 통해 상기 생체신호 측정기(100)로부터 수신받은 심탄도 신호를 수집하는 데이터 수집부(210)와, 상기 데이터 수집부(210)에서 수집된 심탄도 신호로부터 생체정보를 추출하여 미리 학습된 머신러닝 알고리즘에 입력하여 고혈압 확률을 계산하고, 계산된 고혈압 확률로부터 고혈압 경보수준을 판단하는 인공지능 데이터 분석부(220)와, 추출된 생체정보를 토대로 혈압수치를 계산하고, 혈압수치와 함께 고혈압 경보수준을 저장부(240)에 저장하는 인공지능 혈압수치 계산부(230)와, 상기 저장부(240)에 저장되는 혈압수치와 고혈압 경보수준을 무선통신망을 통해 상기 생체신호 측정기(100)로 송신하는 출력부(250)로 구성된다.Here, the external diagnosis server 200 includes a data collection unit 210 that collects the trajectory signal received from the biosignal measuring device 100 through a wireless communication network, and a SIM collected by the data collection unit 210 . The artificial intelligence data analysis unit 220 that extracts biometric information from the ballistic signal and inputs it into a pre-learned machine learning algorithm to calculate the hypertension probability, and determines the hypertension alarm level from the calculated hypertension probability, and the extracted biometric information The artificial intelligence blood pressure value calculation unit 230 that calculates the blood pressure value and stores the high blood pressure alarm level together with the blood pressure value in the storage unit 240, and the blood pressure value stored in the storage unit 240 and the high blood pressure alarm level wirelessly and an output unit 250 for transmitting to the biosignal measuring device 100 through a communication network.

상기의 구성으로 이루어진 본 발명의 심탄도와 인공지능 기술을 이용한 혈압측정장치에 따르면, 심탄도센서로부터 측정자의 심탄도 신호를 수신받아 혈압수치를 확인하기 때문에 구속 및 압박으로 인해 팔이 먹먹해짐은 물론 경우에 따라 수반되는 고통을 원천 해소할 수 있고, 특히 인공지능기술로서 머신러닝(기계학습) 알고리즘을 통해 계산된 고혈압 확률로 경보 수준 및 발병 가능성을 판단함에 따라 보다 정확도 높은 정보를 측정자에게 제공해줄 수 있는 효과가 있다.According to the blood pressure measurement device using the heart trajectory and artificial intelligence technology of the present invention having the above configuration, since the heart trajectory signal of the measurer is received from the heart trajectory sensor and the blood pressure value is checked, the arm is worn out due to restraint and pressure. Of course, in some cases, the accompanying pain can be relieved at the source, and in particular, as an artificial intelligence technology, the high blood pressure probability calculated through a machine learning (machine learning) algorithm is used to determine the alarm level and the possibility of onset, providing more accurate information to the measurer. There is an effect you can do.

도 1은 본 발명의 일 실시예에 따른 심탄도와 인공지능 기술을 이용한 혈압측정장치의 구성도,
도 2는 본 발명의 일 실시예에 따른 생체신호 측정기의 사시도,
도 3은 도 2의 단면도,
도 4는 본 발명의 일 실시예에 따른 생체신호 측정기의 사용상태도.1 is a block diagram of an apparatus for measuring blood pressure using deep trajectory and artificial intelligence technology according to an embodiment of the present invention;
2 is a perspective view of a biosignal measuring device according to an embodiment of the present invention;
3 is a cross-sectional view of FIG. 2;
4 is a state diagram of a biosignal measuring device according to an embodiment of the present invention.

이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예에 따른 심탄도와 인공지능 기술을 이용한 혈압측정장치를 상세하게 설명하기로 한다.Hereinafter, with reference to the accompanying drawings, a blood pressure measuring device using a deep trajectory and artificial intelligence technology according to a preferred embodiment of the present invention will be described in detail.

도면에 도시된 바와 같이, 본 발명에 따른 심탄도와 인공지능 기술을 이용한 혈압측정장치는 심탄도(ballistocardiogram)센서를 이용하여 사용자 즉, 측정자의 심탄도 신호를 취득하고, 인공지능기술을 이용하여 취득한 심탄도 신호에서 생체정보를 추출하여 혈압수치를 계산함으로써 고혈압의 발병여부와 경보 수준을 확인할 수 있도록 한 측정장치이다.As shown in the drawing, the blood pressure measuring device using the ballistocardiogram and artificial intelligence technology according to the present invention acquires the ballistocardiogram signal of the user, that is, the measurer, using the ballistocardiogram sensor, and uses artificial intelligence technology to It is a measuring device that extracts biometric information from the acquired trajectory signal and calculates the blood pressure level to check the onset of hypertension and the alarm level.

본 발명의 혈압측정장치는 생체신호 측정기(100)와 외부 진단서버(200)로 이루어져 있고, 생체신호 측정기(100)는 측정자의 손목을 올려놓은 채로 손목을 통해 심탄도를 측정하여 심탄도 신호를 취득하게 되는 것으로서 측정기 본체(110)와 손목안착부(120)와 심탄도센서(130) 및 임베디드 컨트롤러(140)로 구성된다. The blood pressure measuring device of the present invention consists of a biosignal measuring device 100 and an external diagnosis server 200, and the biosignal measuring device 100 measures the ballistic trajectory through the wrist with the wrist of the measurer placed on it to generate the ballistic signal. As to be acquired, it consists of a measuring instrument body 110 , a wrist resting part 120 , a deep ballistic sensor 130 , and an embedded controller 140 .

상기 측정기 본체(110)는 일정 면적을 갖도록 형성되고, 상면 일측에는 계산된 혈압수치를 표시하여 측정자 및 주변인들이 육안으로 확인할 수 있도록 디스플레이부(112)가 형성되어 있고, 디스플레이부(112)의 일측에는 전원공급은 물론 시작/중지 및 시스템 조작을 위해 복수개의 조작버튼이 구비된 조작부(114)가 구비되어 있다.The measuring instrument body 110 is formed to have a certain area, and a display unit 112 is formed on one side of the upper surface to display the calculated blood pressure value so that the measurer and people around can visually check it, and one side of the display unit 112 is provided. is provided with an operation unit 114 equipped with a plurality of operation buttons for power supply as well as start/stop and system operation.

이때, 디스플레이부(112)는 조작부(114)와 일체로 된 터치패널 형태로 구비할 수도 있다.In this case, the display unit 112 may be provided in the form of a touch panel integrated with the operation unit 114 .

측정기 본체(110)의 상면 타측에는 측정자의 손목을 올려놓고 심탄도를 측정할 수 있도록 상기 손목안착부(120)가 구비된다.The wrist resting part 120 is provided on the other side of the upper surface of the measuring instrument body 110 so that the wrist of the measurer can be placed and the trajectory can be measured.

손목안착부(120)에는 측정자의 손목을 올려놓을 경우에 손목이 감싸여진 상태로 안착될 수 있도록 상측이 개구된 호형의 안착홈(122)이 형성되어 있다.An arc-shaped seating groove 122 with an open upper side is formed in the wrist seating part 120 so that the wrist can be seated in a wrapped state when the person's wrist is placed.

본 발명에서는 측정자의 손목을 올려놓은 채로 심탄도센서가 손목의 동맥부위를 감지하여 심박동을 측정하게 되는 것이므로, 상기 안착홈(122)은 손목을 비틀거나 움직이지 못하도록 하기 위해 필수적으로 형성되어야 할 것이다.In the present invention, since the heart ballistic sensor detects the arterial part of the wrist and measures the heartbeat with the wrist of the measurer placed on it, the seating groove 122 is essentially formed to prevent twisting or moving the wrist. .

이때, 상기 안착홈(122)의 표면에는 측정자의 손목을 올려놓은 상태에서 손목의 동맥부위가 뜨지 않고 완전하게 밀착될 수 있도록 유도하기 위해 연질의 탄성층(150)이 설치되어 있다.At this time, a soft elastic layer 150 is installed on the surface of the seating groove 122 in order to guide the arterial part of the wrist to be completely in close contact without floating while the person's wrist is placed on it.

탄성층(150)은 연질고무나 실리콘 또는 점착성 시트 등을 사용할 수 있다.The elastic layer 150 may be made of soft rubber, silicone, or an adhesive sheet.

한편, 상기 안착홈(122)에 손목이 안착되어 있는 상태에서도 부주의로 인해 손목이 흔들릴 가능성이 존재하기 때문에 손목의 흔들림을 방지해줄 필요가 있다.On the other hand, since there is a possibility that the wrist is shaken due to carelessness even when the wrist is seated in the seating groove 122, it is necessary to prevent the wrist from shaking.

이를 위해 상기 손목안착부(120)의 상부에는 안착홈(122)에 안착된 손목의 상부를 감싸 유동되지 않게 고정시켜 주도록 손목커버(160)가 구비된다.To this end, a wrist cover 160 is provided on the upper portion of the wrist seating part 120 to wrap and fix the upper part of the wrist seated in the seating groove 122 so as not to move.

손목커버(160)는 일측이 손목안착부(120)의 일측에 힌지축으로 결합되어 힌지회동되게 설치되어 회동에 의해 안착홈(122)의 개구된 상측을 개폐하도록 구비된다.The wrist cover 160 is provided with one side coupled to one side of the wrist seating part 120 by a hinge shaft to be hingedly rotated to open and close the opened upper side of the seating groove 122 by rotation.

손목커버(160)의 내표면에도 상기 탄성측(150)이 설치됨이 바람직할 것이다.It will be preferable that the elastic side 150 is also installed on the inner surface of the wrist cover 160 .

이때, 상기 손목커버(160)를 이용하여 손목 상부를 커버한 상태에서 상기 손목안착부(120)의 타측에 부착되도록 탈부착수단(165)이 설치된다.At this time, a detachable means 165 is installed so as to be attached to the other side of the wrist seating part 120 in a state in which the upper wrist is covered using the wrist cover 160 .

탈부착수단(165)은 손목커버(160)의 흔들림이나 회동을 방지하기 위한 것이며, 자성체로 구성되거나 찍찍이로 부착되는 밸트로 구성할 수 있다.The detachable means 165 is to prevent shaking or rotation of the wrist cover 160, and may be composed of a magnetic material or a belt attached with a fastener.

물론 이외에도 손목커버를 손목안착부에 결합시켜 줄 수 있는 것이면 모두 가능할 것이다.Of course, any other thing that can couple the wrist cover to the wrist rest part will be possible.

상기 탈부착수단(165)을 자성체로 구성한 경우, 자성체는 상기 손목커버(160)와 손목안착부(120)의 서로 마주보는 타측면에 각각 구비하거나 둘 중 어느 하나에 자성체를 구비하고 마주보는 다른 하나에는 자성체의 부착을 위해 금속편을 구비할 수 있다.When the attaching and detaching means 165 is made of a magnetic material, the magnetic material is provided on the other side of the wrist cover 160 and the wrist resting part 120 facing each other, or a magnetic material is provided on either one of them and the other one facing each other. It may be provided with a metal piece for attachment of a magnetic material.

탈부착수단(165)으로서 밸트를 사용하는 경우, 밸트의 단부에 찍찍이(암형 벨크로)를 구비하여 손목안착부(120)의 타측에 구비된 찍찍이(숫형 벨크로)에 부착시켜 사용할 수 있다.When a belt is used as the detachable means 165, a fastener (female Velcro) is provided at the end of the belt, and it can be used by attaching it to the fastener (male Velcro) provided on the other side of the wrist seat 120.

상기 심탄도센터(130)는 상기 손목안착부(120)에 설치되어 있으며, 측정자의 심박수 및 심박출량을 포함하는 생체정보를 측정하여 심탄도 신호를 취득하게 된다.The ballistic center 130 is installed in the wrist resting unit 120, and obtains a ballistic signal by measuring biometric information including the heart rate and cardiac output of the measurer.

심탄도는 심장의 물리적 움직임에 따라 생기는 몸의 움직임을 전기적으로 기록한 것으로 심장이 박출한 혈액의 운동량을 나타내며, 심탄도 센서는 측정자의 손목에서 발생되는 맥박 등 미세진동을 측정하게 되는 것이다.Cardiac trajectory is an electrical recording of body movements caused by the physical movement of the heart, and represents the amount of blood pumped by the heart.

임베디드 컨트롤러(140)는 상기 심탄도센서(130)에서 취득된 심탄도 신호를 전달받아 메모리(142)에 저장하고, 통신모듈(144)을 통해 원격지에 구비된 상기 외부 진단서버(200)로 심탄도 신호를 송신하게 된다.The embedded controller 140 receives the trajectory signal acquired from the trajectory sensor 130, stores it in the memory 142, and sends the sim to the external diagnostic server 200 provided at a remote location through the communication module 144. It transmits a ballistic signal.

상기 외부 진단서버(200)는 상기 생체신호 측정기(100)와 무선통신망으로 연결되어 생체신호 측정기로부터 취득된 심탄도 신호를 수신받게 된다.The external diagnosis server 200 is connected to the bio-signal measuring device 100 through a wireless communication network to receive the trajectory signal obtained from the bio-signal measuring device.

외부 진단서버(200)에는 인공지능 학습 알고리즘에 의해 작업을 수행하는 컴퓨터 프로그램이 설치되어 있으며, 이 프로그램을 이용하여 수신받은 심탄도 신호를 분석하여 혈압수치의 계산은 물론 고혈압을 예측하게 된다.The external diagnosis server 200 is installed with a computer program that performs an operation by an artificial intelligence learning algorithm, and uses this program to analyze the received trajectory signal to calculate the blood pressure level as well as predict high blood pressure.

분석된 혈압수치 및 고혈압 예측결과는 측정자가 디스플레이부를 통해 확인할 수 있도록 생체신호 측정기(100)로 송신하게 된다.The analyzed blood pressure value and the hypertension prediction result are transmitted to the biosignal meter 100 so that the measurer can check it through the display unit.

상기 외부 진단서버(200)의 실시예로서, 무선통신망을 통해 상기 생체신호 측정기(100)로부터 수신받은 심탄도 신호를 수집하는 데이터 수집부(210)와, 수집된 데이터(심탄도 신호)를 분석하는 인공지능 데이터 분석부(220)와, 인공지능 혈압수치 계산부(230) 및 출력부(250)로 구성될 수 있다.As an embodiment of the external diagnosis server 200, a data collection unit 210 that collects the trajectory signal received from the bio-signal measuring device 100 through a wireless communication network, and analyzes the collected data (the trajectory signal) It may be composed of an artificial intelligence data analysis unit 220 , an artificial intelligence blood pressure value calculation unit 230 , and an output unit 250 .

인공지능 데이터 분석부(220)는 상기 데이터 수집부(210)에서 수집된 심탄도 신호로부터 생체정보를 추출하게 되고, 이렇게 추출된 생체정보를 미리 학습된 머신러닝 알고리즘에 입력하여 고혈압 확률을 계산하게 된다.The artificial intelligence data analysis unit 220 extracts biometric information from the trajectory signal collected by the data collection unit 210, and inputs the extracted biometric information into a pre-learned machine learning algorithm to calculate the hypertension probability. do.

또한, 계산된 고혈압 확률로부터 고혈압 경보수준을 판단하게 된다.In addition, the hypertension alert level is determined from the calculated hypertension probability.

머신러닝 알고리즘은 컴퓨터가 입력되는 데이터를 통해 스스로 학습할 수 있도록 하는 알고리즘으로서, 회귀분석, 로지스틱 회귀분석, 의사결정나무, 베이지안 분류, 인공신경망, SVM(Suppoter Vector Machine), K-최근접이웃 등의 분류 기법 알고리즘을 사용할 수 있다.Machine learning algorithms are algorithms that allow computers to learn on their own from input data. of classification algorithm can be used.

학습용 생체정보는 정상인과 고혈압 환자로부터 심박수, 호습수, 심박출량, 심박수 변이도를 수집하여 학습하도록 하고, 정확도 향상을 위해 1만개 수집하여 학습하도록 한다.The learning biometric information collects and learns heart rate, respiratory rate, cardiac output, and heart rate variability from normal people and hypertensive patients, and collects and learns 10,000 pieces to improve accuracy.

상기 고혈압 경보수준은 "안심", "관심", "주의"로 분류될 수 있으며, 고혈압 예측 확률이 0% 내지 10%일 경우 "안심"으로 판단하며, 고혈압 예측 확률이 11% 내지 30%일 경우 "관심", 고혈압 예측 확률이 31% 이상일 경우 "주의"로 판단하여 출력할 수 있다.The hypertension warning level can be classified as "safe", "interest", and "caution", and when the hypertension prediction probability is 0% to 10%, it is determined as "safe", and the hypertension prediction probability is 11% to 30% In the case of "interest", when the prediction probability of hypertension is 31% or more, it can be judged as "caution" and outputted.

인공지능 혈압수치 계산부(230)는 심탄도신호로부터 추출된 생체정보를 토대로 혈압수치를 계산하게 되는 것이고, 계산된 혈압수치와 함께 상기 인공지능 데이터 분석부(220)에서 분석된 고혈압 경보수준을 저장부(240)에 저장하게 된다.The artificial intelligence blood pressure value calculation unit 230 calculates the blood pressure value based on the biometric information extracted from the heart trajectory signal, and calculates the hypertension alert level analyzed by the artificial intelligence data analysis unit 220 together with the calculated blood pressure value. It is stored in the storage unit 240 .

이때, 외부 진단서버(200)에는 관리자가 확인할 수 있도록 혈압수치와 함께 고혈압 경보수준을 디스플레이해주기 위해 표시부(245)가 설치될 수 있다. 표시부의 예로서 모니터를 사용할 수 있다.In this case, the display unit 245 may be installed in the external diagnosis server 200 to display the high blood pressure alarm level together with the blood pressure value so that the administrator can check it. A monitor can be used as an example of the display unit.

상기 출력부(250)는 상기 저장부(240)에 저장되는 혈압수치와 고혈압 경보수준을 표시부를 통해 확인할 수 있도록 출력해주게 되며, 또한 무선통신망을 통해 상기 생체신호 측정기(100)로 송신하는 기능을 수행할 수 있다.The output unit 250 outputs the blood pressure value and the high blood pressure alarm level stored in the storage unit 240 to be checked through the display unit, and transmits the function to the biosignal meter 100 through the wireless communication network. can be done

상기와 같이 구성된 본 발명은 심탄도센서를 이용한 심탄도신호로 혈압수치를 계산하여 고혈압을 예측함에 따라 혈액을 채취할 필요가 없으며, 특히 광원조사 방식에 비해 보다 정확하게 혈압수치를 계산할 수 있어 고혈압 예측 정확도를 높여줄 수 있으며, 이로 인해 조기에 고혈압을 진단하여 건강관리를 수행할 수 있다는 장점이 있다.According to the present invention configured as described above, there is no need to collect blood as hypertension is predicted by calculating the blood pressure level using the heart ballistic signal using the heart ballistic sensor. It can increase the accuracy, which has the advantage of diagnosing high blood pressure at an early stage and performing health management.

100: 생체신호 측정기
110: 측정기 본체 112: 디스플레이부
114: 조작부 120: 손목안착부
122: 안착홈 130: 심탄도센서
140: 임베디드 컨트롤러 142: 메모리
144: 통신모듈 150: 탄성층
160: 손목커버 165: 탈부착수단
200: 외부서버
210: 데이터 수집부 220: 인공지능 데이터 분석부
230: 인공지능 혈압수치 계산부 240: 저장부
245: 표시부 250: 출력부100: biosignal meter
110: measuring instrument body 112: display unit
114: operation unit 120: wrist seat portion
122: seating groove 130: deep ballistic sensor
140: embedded controller 142: memory
144: communication module 150: elastic layer
160: wrist cover 165: detachable means
200: external server
210: data collection unit 220: artificial intelligence data analysis unit
230: artificial intelligence blood pressure value calculation unit 240: storage unit
245: display unit 250: output unit

Claims (6)

측정자의 심탄도 신호를 취득하기 위한 생체신호 측정기(100);
상기 생체신호 측정기(100)와 무선통신망으로 연결되어 생체신호 측정기로부터 취득된 심탄도 신호를 수신받아 인공지능기술로 이를 분석하여 혈압수치 계산 및 고압혈을 예측하는 외부 진단서버(200);로 이루어지고,
상기 생체신호 측정기(100)는, 혈압수치의 표시를 위해 상면 일측에 디스플레이부(112)가 형성된 측정기 본체(110);
상기 측정기 본체(110)의 상면 타측에 구비되고, 측정자의 손목이 감싸여진 상태로 안착되도록 상측이 개구된 호형의 안착홈(122)이 형성된 손목안착부(120);
상기 손목안착부(120)에 설치되어 측정자의 손목을 통해 심박수 및 심박출량을 포함하는 심탄도 신호를 취득하는 심탄도센서(130);
상기 심탄도센서(130)에서 취득된 심탄도 신호를 전달받아 메모리(142)에 저장하고, 통신모듈(144)을 통해 외부 진단서버(200)로 심탄도 신호를 송신하는 임베디드 컨트롤러(140);
로 구성된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.
a biosignal measuring device 100 for acquiring a trajectory signal of a measurer;
An external diagnosis server 200 that is connected to the bio-signal measuring device 100 through a wireless communication network and receives the trajectory signal obtained from the bio-signal measuring device and analyzes it with artificial intelligence technology to calculate blood pressure values and predict high blood pressure; under,
The bio-signal measuring device 100 includes: a measuring device body 110 having a display unit 112 formed on one side of its upper surface for displaying blood pressure values;
a wrist seating part 120 provided on the other side of the upper surface of the measuring instrument body 110, and having an arc-shaped seating groove 122 with an upper side opened so that the wrist of the measurement person is seated in a wrapped state;
a trajectory sensor 130 installed in the wrist seating unit 120 to acquire a trajectory signal including a heart rate and cardiac output through the wrist of a measurer;
an embedded controller 140 that receives the trajectory signal obtained from the trajectory sensor 130, stores it in the memory 142, and transmits the trajectory signal to the external diagnostic server 200 through the communication module 144;
A blood pressure measuring device using deep trajectory and artificial intelligence technology, characterized in that it consists of
 제1항에 있어서,
상기 안착홈(122)의 표면에는 측정자의 손목 밀착을 유도하도록 연질의 탄성층(150)이 설치된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.
According to claim 1,
A blood pressure measuring device using deep trajectory and artificial intelligence technology, characterized in that a soft elastic layer 150 is installed on the surface of the seating groove 122 to induce close contact with the person's wrist.
 제1항 또는 제2항에 있어서,
상기 손목안착부(120)의 상부 일측에는 안착홈(122)에 안착된 손목의 상부를 감싸 유동되지 않게 고정시켜 주도록 일측이 힌지축으로 결합되어 힌지회동되게 손목커버(160)가 구비되고,
상기 손목커버(160)의 타측에는 손목의 상부를 커버한 상태에서 상기 손목안착부(120)의 타측에 부착되도록 탈부착수단(165)이 설치된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.
3. The method of claim 1 or 2,
On one side of the upper side of the wrist seating part 120, one side is coupled with a hinge shaft so as to fix the upper part of the wrist seated in the seating groove 122 so as not to flow, a wrist cover 160 is provided,
Blood pressure measurement using deep trajectory and artificial intelligence technology, characterized in that a detachable means 165 is installed on the other side of the wrist cover 160 so as to be attached to the other side of the wrist seat 120 in a state where the upper part of the wrist is covered. Device.
 제3항에 있어서,
상기 탈부착수단(165)은, 상기 손목커버(160)와 손목안착부(120)의 서로 마주보는 타측면에 구비된 자성체로 구성된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.
4. The method of claim 3,
The detachable means (165) is a blood pressure measuring device using deep trajectory and artificial intelligence technology, characterized in that it is composed of a magnetic material provided on the other side facing each other of the wrist cover (160) and the wrist rest (120).
 제3항에 있어서,
상기 탈부착수단(165)은, 상기 손목커버(160)의 타측에 손목안착부(120)의 타측과 찍찍이로 부착되는 밸트로 구성된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.
4. The method of claim 3,
The detachable means (165) is a blood pressure measuring device using deep trajectory and artificial intelligence technology, characterized in that it is composed of a belt attached to the other side of the wrist rest (120) on the other side of the wrist cover (160) with a clasp.
 제1항에 있어서,
상기 외부 진단서버(200)는, 무선통신망을 통해 상기 생체신호 측정기(100)로부터 수신받은 심탄도 신호를 수집하는 데이터 수집부(210)와,
상기 데이터 수집부(210)에서 수집된 심탄도 신호로부터 생체정보를 추출하여 미리 학습된 머신러닝 알고리즘에 입력하여 고혈압 확률을 계산하고, 계산된 고혈압 확률로부터 고혈압 경보수준을 판단하는 인공지능 데이터 분석부(220)와,
추출된 생체정보를 토대로 혈압수치를 계산하고, 혈압수치와 함께 고혈압 경보수준을 저장부(240)에 저장하는 인공지능 혈압수치 계산부(230)와,
상기 저장부(240)에 저장되는 혈압수치와 고혈압 경보수준을 무선통신망을 통해 상기 생체신호 측정기(100)로 송신하는 출력부(250)로 구성된 것을 특징으로 하는 심탄도와 인공지능 기술을 이용한 혈압측정장치.According to claim 1,
The external diagnosis server 200 includes a data collection unit 210 that collects the trajectory signal received from the biosignal measuring device 100 through a wireless communication network;
Artificial intelligence data analysis unit that extracts biometric information from the trajectory signal collected by the data collection unit 210, calculates the hypertension probability by inputting it to a machine learning algorithm previously learned, and determines the hypertension alert level from the calculated hypertension probability (220) and
An artificial intelligence blood pressure value calculation unit 230 that calculates a blood pressure value based on the extracted biometric information and stores the hypertension alarm level together with the blood pressure value in the storage unit 240;
Blood pressure using heart trajectory and artificial intelligence technology, characterized in that it comprises an output unit 250 for transmitting the blood pressure value stored in the storage unit 240 and the high blood pressure alarm level to the biosignal meter 100 through a wireless communication network. measuring device.
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