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스마트폰 연동 생체신호 왜곡보정을 위한 디지털 필터 설계 및 구현
김정환(Jeong-Hwan Kim),김경섭(Kyeong-Seop Kim),신승원(Seung-Won Shin),김현태(Hyun-Tae Kim),이정환(Jeong-Whan Lee),김동준(Dong-Jun Kim) 대한전기학회 2012 전기학회논문지 Vol.61 No.10
In this study, the novel digital filtering algorithms are implemented to suppress the noisy characteristics embedded in ambulatory electrocardiogram signals by an android smartphone platform. With this aim, Graphical User Interface (GUI) is designed and implemented by utilizing multithread-Java programming to realize Finite Impulse Response and Infinite Impulse Response filter. With simulating our implemented digital filters built in an android smartphone, we can find the fact that we can efficiently suppresses the noisy characteristics due to baseline wandering and 60 ㎐ powerline source fluctuations especially in electrocardiograms.
김정환(Jeong-Hwan Kim),신승원(Seung-Won Shin),김현태(Hyun-Tae Kim),윤태호(Tae-Ho Yoon),김경섭(Kyeong-Seop Kim),이정환(Jeong-Whan Lee),엄광문(Gwang-Moon Eom) 대한전기학회 2012 전기학회논문지 Vol.61 No.6
In this study, ambulatory electrocardiogram(ECG) signal and the rhythms of heart beats are visualized in terms of R-R intervals and Heart Rate Variability(HRV) in the environment of an android plaform. With this aim, Graphical User Interface(GUI) is implemented by executing multi-thread Java programming modules including ECG, heart-beats, tachogram and visualization unit. ECG signals are acquired in an android device by receiving the data from ambulatory ECG sensory system. Finite Impulse Response(FIR) filters are implemented to eliminate the baseline wandering noises contained in the ambulatory signals and DC-offset level in R-R interval data. With simulating the normal or stress emotional state of a subject, we can find the fact that HRV can be successfully estimated and visualized in an android smart phone platform.
김정환(Jeong-Hwan Kim),김경섭(Kyeong-Seop Kim),김현태(Hyun-Tae Kim),이정환(Jeong-Whan Lee) 대한전기학회 2013 전기학회논문지 Vol.62 No.6
In this study, Independent Component Analysis (ICA) algorithms are suggested to extract the original ECG part from the mixed signal contaminated with the unwanted frequency components and especially 60㎐ power line disturbances. With this aim, we implement a novel method to suppress the baseline-wandering disturbances and power line artefacts contained in patch-electrodes sensory ECG data by separating the unmixed signal with finding the optimal weight W based on Kurtosis value. With applying brutal force and gradient ascent searching algorithm to find W, we can conclude that the unwanted frequency components especially in the ambulatory ECG data can be eliminated by Independent Component Analysis.
Fractional 푸리에 변환을 이용한 심박변이도 분석
김정환(Jeong-Hwan Kim),박상은(Sang-Eun Park),조용학(Yong-Hak Jo),이정환(Jeong-Whan Lee),김경섭(Kyeong-Seop Kim) 대한전기학회 2014 대한전기학회 학술대회 논문집 Vol.2014 No.2
일반적으로 생체신호를 해석하는 기본적인 방법은 시간 및 주파수 영역으로 별도로 분리하여 각각 특징 파라미터를 도출한다. 즉, 푸리에 변환을 활용하면 생체신호의 시간정보를 주파수 영역으로 해석할 수 있지만 시간과 주파수 영역의 정보를 연속적으로 파악할 수 없다. 이에 따라서 Fractional 푸리에 변환을 사용하여 특히 심전도 신호의 심박변이도 활성상태를 연속적으로 시간정보와 주파수 정보로 변환하고 이를 스트레스 유무 상태로 새롭게 해석하는 파라미터를 도출하고자 하였다.