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- 주제어 : BCG(ballistocardiogram) (검색결과 5 건)
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무구속 건강모니터링을 위한 심탄도 계측 시스템 구현 및 평가
노윤홍 ( Yun Hong Noh ),정도운 ( Do Un Jeong ) 한국센서학회 2010 센서학회지 Vol.19 No.1
This research proposes measuring of BCG(ballistocardiogram) to monitor heart activities in a non-constrained environment, at home or work. Unlike with ECG, measuring BCG does not require the attachment of leads on the subject`s body and allows signal measuring in a non-constrained state. It enables effective long-term monitoring of cardiac conditions. In this study a chair type BCG measurement system to continuous monitor the activity of the heart is implemented. The instrument consists of upper petal and ready for press of chair load cell sensor is attached to measure the change of the object`s weight. In order to extract the output ballistic signal from the weight and force sensor signals. Beside the signal processing circuit for the digital conversion, the ballistic signal is detected using DAQ equipment. Signal processing algorithm including wavelet transforms for noise cancellation, template matching for normalization and peak detection in BCG is developed. ECG and BCG were concurrently measured to evaluate the performance of the system, and comparing the characteristics of the two signals verified the possibility of the system in non-constrained and non-conscious health monitoring.
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반려동물용 BCG 센싱 데이터에서 호흡 및 맥박 신호를 분리하는 방법
곽호영,장진욱,김수균,송우진,윤영민 한국컴퓨터정보학회 2022 韓國컴퓨터情報學會論文誌 Vol.27 No.2
Currently, as the number of families living with companion animals increases, the demand for information about the health status of companion animals has increased. As the demand for this increases, there is a need for a method to measure respiration and pulse in companion animals. Considering the characteristics of hairy companion animals, we want to measure respiration and pulse signals using BCG, which is different from adsorption ECG. Since this BCG method is made by mixing respiration and pulse signals into one signal, it is necessary to separate the respiration signal waveform and the pulse signal waveform from one signal waveform. In this paper, a wearable device for BCG measurement was implemented to measure the signal, and a method of separating the signal input from the BCG wearable device into a respiration signal and a pulse signal was proposed. 현재 반려동물과 함께 사는 가정이 매우 늘어나면서 반려동물의 건강 상태에 대해서 알고 싶어하는 요구가 늘었다. 이에 대한 요구의 증가에 따라 반려동물에게서 호흡과 맥박을 측정하는 방법이 필요한데 반려동물의 특성상 털이 있다는 것을 고려하여 흡착식의 심전도와는 다른 방법인심탄도 방식을 이용하여 호흡과 맥박 신호를 측정하고자 한다. 이 심탄도 방식은 호흡과 맥박 신호가 하나의 신호에 섞여 만들어지기 때문에 하나의 신호 파형에서 호흡 신호 파형과 맥박 신호파형을 분리할 필요가 있다. 본 논문에서는 심탄도 측정을 위한 웨어러블 기기를 구현하여 신호를 측정할 수 있게 하고, 이 심탄도 웨어러블 장치로부터 입력된 신호를 호흡 신호와 맥박 신호로 분리하는 방법을 제안하였다.
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무구속 심탄도 모니터링 시스템을 이용한 스트레스 분석 기초연구
노윤홍 ( Yun Hong Noh ),정도운 ( Do Un Jeong ) 한국센서학회 2011 센서학회지 Vol.20 No.2
Heart related diseases mainly caused by heavy work load and increasing stress in human daily life. Therefore, researches on mobile healthcare monitoring for daily life has been carried out. Notably, wearable healthcare monitoring system which has least restriction has been tried to provide an emergency alert of abnormal heart rate. In this study, we developed chair type unconstrained BCG measurement system which able to perform continuous heart status monitoring at the office and daily life in the unconstrained way. Furthermore, adaptive threshold is used to detect the heart rate from BCG signals. The HRV(heart rate variability) is calculated from heart rate interval. ECG signal measured using conventional method and BCG signal measured using unconstraint system are carried out simultaneously for the purpose of performance evaluation. From the comparison result, BCG signal shows a similar heart beat characteristic as ECG signal. This proves the possibility of practical implementation of unconstraint healthcare monitoring system. In addition, medical examination like valsalva maneuver is performed to observe the changes in HRV due to stress. By performing valsalva maneuver, heart is said to be placed under an artificial physical stress condition. Under this artificial physical stress condition, the time and frequency domain of HRV parameters are evaluated.
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Ballistocardiography and Seismocardiography: A Review of Recent Advances
Inan, Omer T.,Migeotte, Pierre-Francois,Kwang-Suk Park,Etemadi, Mozziyar,Tavakolian, Kouhyar,Casanella, Ramon,Zanetti, John,Tank, Jens,Funtova, Irina,Prisk, G. Kim,Di Rienzo, Marco IEEE 2015 IEEE Journal of Biomedical and Health Informatics Vol.19 No.4
<P>In the past decade, there has been a resurgence in the field of unobtrusive cardiomechanical assessment, through advancing methods for measuring and interpreting ballistocardiogram (BCG) and seismocardiogram (SCG) signals. Novel instrumentation solutions have enabled BCG and SCG measurement outside of clinical settings, in the home, in the field, and even in microgravity. Customized signal processing algorithms have led to reduced measurement noise, clinically relevant feature extraction, and signal modeling. Finally, human subjects physiology studies have been conducted using these novel instruments and signal processing tools with promising results. This paper reviews the recent advances in these areas of modern BCG and SCG research.</P>
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Kim Kyungho,Ku Gi Won,Lee Jeong-Gi,Chulseung Yang 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2
As the socio-economic environment has changed, the number of single and elderly households has increased, and the demand for maintaining a long and healthy life has been increased by continuously monitoring and managing physical conditions against unexpected accidents that may occur when living alone at home. In response to these demands, it is necessary to develop services that provide personalized healthcare services by recording and analyzing living patterns and biometric information in an unconscious way. In this paper, we propose an accuracy improvement method using similarity and Signalto-noise ratio analysis for BCG measurement method using piezo sensors and a system for continuous personal health monitoring in home without user awareness. Heart rate and respiration rate were derived using the acquired BCG data, and the biometric information is stored symmetrically for personal information security.
ScienceON
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