• 제목/요약/키워드: Photoplethysmography

검색결과 128건 처리시간 0.025초

Estimation of baroreflex sensitivity using pulse arrival time rather than systolic blood pressure measurement

  • Lee, Jong-Shill;Chee, Young-Joon
    • 대한의용생체공학회:의공학회지
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    • 제31권1호
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    • pp.14-19
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    • 2010
  • Baroreflex sensitivity (BRS) is a parameter of the cardiovascular system that is reflected in changes in pulse interval (PD and systolic blood pressure (SBP). BRS contains information about how the autonomic nervous system regulates hemodynamic homeostasis. Normally the beat-to-beat SBP measurement and the pulse interval measured from the electrocardiogram (ECG) are required to estimate the BRS. We investigated the possibility of measuring BRS in the absence of a beat-to-beat SBP measurement device. Pulse arrival time (PAT), defined as the time between the R-peak of the ECG and a single characteristic point on the pulse wave recorded from any arterial location was measured by photoplethysmography. By comparing the BRS obtained from conventional measurements with our method during controlled breathing, we confirmed again that PAT and SBP are closely correlated, with a correlation coefficient of -0.82 to -0.95. The coherence between SBP and PI at a respiration frequency of 0.07-0.12 Hz was similar to the coherence between PAT and PI. Although the ranges and units of measurement are different (ms/mmHg vs. ms/ms) for BRS measured conventionally and by our method, the correlation is very strong. Following further investigation under various conditions, BRS can be reliably estimated without the inconvenient and expensive beat-to-beat SBP measurement.

Wavelet을 이용한 사용자 적응 동잡음 판단 알고리즘 (User-Adaptive Movement Noise Detection Algorithm Using Wavelet Transform)

  • 반다희;권성오
    • 한국통신학회논문지
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    • 제40권6호
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    • pp.1120-1129
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    • 2015
  • 본 논문은 심박에 동기화된 맥파 즉 PPG신호를 측정하고, 신호에 동잡음이 포함 되어있는지를 판단하는 방안을 제안한다. 피 측정자의 움직임에 의한 동잡음은 PPG신호를 심각하게 왜곡한다. 따라서 신호에 동잡음이 포함되었는지 판단하는 신호처리 방법이 요구된다. 본 논문에서는 측정하는 PPG신호에 동잡음이 포함되어있는지를 판단하기 위해 국소푸리에변환 대신 웨이블릿 변환을 이용하여 결정하는 신호처리 방법을 제안한다. 또한, 다양한 웨이블릿 중에서 피실험자의 PPG 신호에 적응된 웨이블릿 선택하였다. 실험에서 사용자가 측정 전체 시간 대비 20%, 30% 시간동안 임의의 움직임을 통해 동잡음을 포함시킨 경우 제안한 신호처리 방법을 이용한 결과 사용자가 동잡음을 포함시킨 모든 구간을 동잡음이 포함된 구간으로 판단하였으며, 고정 웨이블릿 방법보다 더 우수한 성능을 보였다.

키넥트 스테레오 영상을 이용한 원격 재활 시스템 (A Remote Rehabilitation System using Kinect Stereo Camera)

  • 김경아;정완영;김종진
    • 센서학회지
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    • 제25권3호
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    • pp.196-201
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    • 2016
  • Rehabilitation exercises are the treatments designed to help patients who are in the process of recovery from injury or illness to restore their body functions back to the original status. However, many patients suffering from chronic diseases have found difficulties visiting hospitals for the rehabilitation program due to lack of transportation, cost of the program, their own busy schedules, etc. Also, the program usually contains a few medical check-ups which can cause patients to feel uncomfortable. In this paper, we develop a remote rehabilitation system with bio-signals by a stereo camera. A Kinect stereo camera manufactured by Microsoft corporation was used to recognize the body movement of a patient by using its infrared(IR) camera. Also, we detect the chest area of a user from the skeleton data and process to gain respiratory status. ROI coordinates are created on a user's face to detect photoplethysmography(PPG) signals to calculate heart rate values from its color sensor. Finally, rehabilitation exercises and bio-signal detecting features are combined into a Windows application for the cost effective and high performance remote rehabilitation system.

PPG와 ECG의 상관 관계에 기반한 심박 시계열 데이터 이상 상황 탐지 최적 모델 비교 연구 (A Comparative Study on the Optimal Model for abnormal Detection event of Heart Rate Time Series Data Based on the Correlation between PPG and ECG)

  • 김진수;이강윤
    • 인터넷정보학회논문지
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    • 제20권6호
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    • pp.137-142
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    • 2019
  • 본 논문은 이상 상황을 탐지하고 모니터링하는 다양한 서비스가 존재한다. 하지만 대부분의 서비스는 화재, 가스누출에 초점을 맞추어 진행되고 있으며, 독거노인과 중증장애인들의 사망 혹은 심정지 등 위급상황에 대하여 사전 예방 및 위급상황 대응이 불가능하다. 본 연구에서는 여러 생체신호 중 가장 위중하다고 판단되는 심박 신호의 이상 상태를 탐지하기 위하여 인공지능 모델을 설계하는 과정에서 적합한 데이터 변형과 모델을 비교한다. 세부적으로는 오픈 의료 데이터 PhysioNet의 MIT-BIH Arrhythmia Database를 이용하여 심전도(ECG) 데이터를 수집하고, 수집한 데이터를 각각 다른 방법으로 데이터를 변형한 후 학습하여 기본 심전도 데이터를 이용해 학습한 인공지능 모델과 비교한다.

주기적 이동평균필터를 이용한 동잡음 제거 (The Motion Artifact Reduction using Periodic Moving Average Filter)

  • 이준연
    • 한국컴퓨터정보학회논문지
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    • 제17권4호
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    • pp.75-82
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    • 2012
  • PPG 신호는 심장의 박동에 동기된 유사 주기 신호이다. 본 논문에서는 PPG 신호의 유사주기성을 이용한 주기적 이동평균필터 방법을 제안한다. 이 필터링 방법은 PPG 신호를 주기적으로 분리하여 각 주기 신호의 같은 순번에 있는 샘플들끼리 평균을 취하는 방법이다. 연속된 PPG 신호의 주기 중에 동잡음이 혼입되었다면 주기를 기준으로 PPG 신호를 분리한 후, 각 주기의 샘플수를 조정하여 같은 샘플수를 가지게 만든다. 이 주기들을 2차원으로 배열한 후 현재 주기부터 이전 각 주기의 샘플끼리 평균을 취함으로써 훼손 없이 동잡음을 제거할 수 있었다.

A New Method for Unconstrained Pulse Arrival Time (PAT) Measurement on a Chair

  • Kim Ko-Keun;Chee Young-Joon;Lim Yong-Gyu;Choi Jin-Wook;Park Kwang-Suk
    • 대한의용생체공학회:의공학회지
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    • 제27권3호
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    • pp.83-88
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    • 2006
  • A new method of measuring pulse arrival time (PAT), which is usually used for the estimation of systolic blood pressure, in an unconstrained manner using a chair, is proposed. The capacitive-coupled ECG (CC-ECG) measurement system and the air cushion with balancing tubes system were used for unconstrained PAT measurement. Firstly, the correlation between the standard PAT (S-PAT) from the photoplethysmography (PPG) and the PAT measured in an unconstrained manner (U-PAT) was evaluated. It was observed that U-PAT, which is the time delay from the R-peak of ECG to the steepest decent point of air cushion pressure wave, is significantly correlated with the S-PAT. Secondly, systolic blood pressure (SBP) measured by the radial tonometer is compared to the U-PAT. The ten-beat averaged U-PAT removed respiration effects and demonstrated a high intra-subject correlation with SBP in all participants. Finally, the tonometry SBP was estimated from these U-PAT values for one participant intermittently during half a day.

손목형 생체신호수집 장치에 대한 연구 (A Study on Wrist Band Type Vital Sign Acquisition Device)

  • 김희훈;김경호
    • 전기학회논문지
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    • 제65권5호
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    • pp.857-861
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    • 2016
  • In this study, we proposed a new method that can be measure ECG (Electrocardiography) and PPG (Photoplethysmography) in realtime on the site of the wrist for check the state of health in daily life. For convenience measurement of ECG the lead I method was used on the wrist, and omit the reference junction ECG I was measured in the right hand and the left hand of the potential difference. Then the measured electrocardiogram was amplified by the differential amplifier and the signals were passed HPF, LPF, and BPF filters. For removing the PPG's noise from the Motion artifact and temperature, we apply the reflective photoelectric volume pulse wave measurement method using green LED as a light source. The circuits was designed to be able to check the waveform using higher active amplification method at weak signals. For the validation of our device, the measured signals were compared with E2-KIT on same time. The results shows that the error does not exceed the maximum one, most of the data is confirmed to be issued Peak inspection of the same number.

개체 요인 및 생활 습관 요인이 맥상에 미치는 영향 (A Study on Personal and Lifestyle Factors that Affects Pulse Types)

  • 정현정;윤상훈;강원석
    • 대한한의진단학회지
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    • 제16권3호
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    • pp.11-22
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    • 2012
  • Objectives: The aim of this study was to elucidate the relationship between pulse types measured by pulse analyzer and several factors including smoking, drinking alcohol, exercises etc. Methods: The subjects were 71 persons who were tested by oriental health examination. A self-reported questionnaire was used to gather age, smoking, drinking alcohol, exercise state and gender. The pulse types were measured by DMP 1000. The index of stress and fatigue were measured by SA 3000. We analyzed the frequency of pulse types according to gender, ages, smoking, drinking alcohol etc by chi-square test with SPSS ver. 19.0. Results: In the main pulse types, there were significant differences according to age(p<0.05) and marginal differences according to drinking alcohol(p<0.1). In the secondary pulse types, there were marginal differences according to exercise, ages. But there was no significant differences according to gender, smoking, body mass index (BMI), accelerated photoplethysmography (APG) feature, stress and fatigue. Conclusions: This study suggests that the pulse types are affected by drinking alcohol, ages, exercise.

호흡-바이오피드백 앱 개발을 위한 PPG기반의 호흡 추정 알고리즘 (Breathing Information Extraction Algorithm from PPG Signal for the Development of Respiratory Biofeedback App)

  • 최병훈
    • 전기학회논문지
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    • 제67권6호
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    • pp.794-798
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    • 2018
  • There is a growing need for a care system that can continuously monitor, manage and effectively relieve stress for modern people. In recent years, mobile healthcare devices capable of measuring heart rate have become popular, and many stress monitoring techniques using heart rate variability analysis have been actively proposed and commercialized. In addition, respiratory biofeedback methods are used to provide stress relieving services in environments using mobile healthcare devices. In this case, breathing information should be measured well to assess whether the user is doing well in biofeedback training. In this study, we extracted the heart beat interval signal from the PPG and used the oscillator based notch filter based on the IIR band pass filter to track the strongest frequency in the heart beat interval signal. The respiration signal was then estimated by filtering the heart beat interval signal with this frequency as the center frequency. Experimental results showed that the number of breathing could be measured accurately when the subject was guided to take a deep breath. Also, in the timeing measurement of inspiration and expiration, a time delay of about 1 second occurred. It is expected that this will provide a respiratory biofeedback service that can assess whether or not breathing exercise are performed well.

무선 센서네트워크를 이용한 착용형 PTT 측정시스템의 구현 및 평가 (Implemetation and Estimation of the Wearable PTT Monitoring System Using Wireless Sensor Network)

  • 김진호;강학성;정도운
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.137-140
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    • 2010
  • 본 연구에서는 일상생활에서 보다 편리하게 건강모니터링을 수행하기 위해 신체에 착용 가능한 심전도 및 맥파 계측 시스템을 구현하고자 하였다. 이를 위하여 배터리로 구동 가능한 초소형의 심전도 및 맥파 측정 시스템을 구현하였으며, 계측된 생체신호의 무선전송을 위해 초저전력 무선 센서네트워크 기술을 적용한 무선 생체신호 전송시스템을 구현하였다. 무선으로 전송된 심전도 및 맥파 신호는 잡음 제거 및 심박동을 검출하기 위하여 전처리과정과 적응 가변형 문턱치를 적용하였으며, 검출된 심박동으로부터 동맥순환계의 긴장도 및 유순도의 변화를 반영하는 맥파전달시간(pulse transit time, PTT)을 계산하였다. 구현된 무선 맥파전달시간 계측시스템과 기존 상용시스템의 비교 평가를 수행함으로써 구현된 시스템의 유용성을 평가하고자 하였으며, 혈압 및 맥파전달시간의 동시계측을 통해 자세 변화에 따른 혈압의 변화 및 맥파전달시간의 변화양상을 관찰함으로써 혈압과 맥파전달시간의 관계를 추정하고자 하였다.

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