基于多特征参数综合分析脉搏波信号失真度算法的实现

Realization of algorithm of abnormal pulse wave signal detection based on associate factor of pulse features

在利用脉搏波信号计算生命体征时,为检测并排除严重失真的脉搏波信号,综合利用欧氏距离、脉搏波传导时间以及脉搏波波形系数,提出一个用于判断脉搏波失真度的参数——脉搏波联合特征系数。其中在计算欧氏距离的过程中,利用心电信号R波对PPG信号进行多段分割,对每小段进行时间轴归一化处理以抑制欧氏距离对时间轴伸缩的敏感度。通过分析实测脉搏波信号,验证了本文算法能准确识别失真波形。

Because Photoplethysmography （PPG） signal is disturbed by breath, position and movement, it is necessary to detect and remove disturbed signal before computing the user＇s vital sign. Based on Euclidean distance, pulse wave transit time and coefficient of the pulse waveform, this paper presents a parameter, called associate factor of pulse wave, which is used to detect abnormal pulse waveform. The PPG time serious is divided into pieces using R wave of Electrocardiogram （ECG） signal~ the time line of each piece of PPG signal is normalized in order to inhibit sensitive issue of time line in Euclidean distance calculation. The accuracy and feasibility of the proposed algorithm in identifying abnormal waveform are verified by analyzing measured pulse wave signal.