CAJ | 학술논문

针对在应用光电传感器检测人体脉搏信号时存在工频干扰和基线漂移的问题,提出使用自适应相干模板算法和小波变换算法,分别对工频干扰信号和基线漂移进行滤除,避免了单纯使用硬件滤波电路时的抗干扰能力差、不稳定、波形容易失真等问题,有效的保留了脉搏波信号中的生理病理信息.通过对微弱的脉搏信号进行提取、记录以及对SER值的分析,快速准确的得出人脉搏波的频率、幅值,客观的得出人体健康状况.
침대재응용광전전감기검측인체맥박신호시존재공빈간우화기선표이적문제,제출사용자괄응상간모판산법화소파변환산법,분별대공빈간우신호화기선표이진행려제,피면료단순사용경건려파전로시적항간우능력차、불은정、파형용역실진등문제,유효적보류료맥박파신호중적생리병리신식.통과대미약적맥박신호진행제취、기록이급대SER치적분석,쾌속준학적득출인맥박파적빈솔、폭치,객관적득출인체건강상황.
Aiming at the power line interference and baseline wander problem existed in the application of photoelectric sensor to detect the pulse signal of human body, propose to use the algorithm of adaptive coherent template and wavelet transform, filter the power line interference and baseline wander respectively, avoid the problems of poor anti-interference ability,instability,waveform distortion and so on when simple use of hardware filter circuit, effectively retained the pulse wave signal in physiological and pathological information.Through the extraction of weak pulse signal, recording and analysing the value of SER, quickly and accurately obtained peo-ple′s pulse wave frequency, amplitude, objectively derived the human health status.