A Practical Approach to Wrist Pulse Segmentation and Single-period Average Waveform Estimation

摘要: A practical method is proposed to segment the wrist pulse waveform and estimate average waveform. Some key issues that would affect performance of tasks are addressed. zero-phase filtering was used accommodate low frequency variations high noise without phase-shift distortion, a moving-window adaptive threshold based segmentation algorithm ensure segmenting performance. Waveform rotating scaling, outlier elimination, cross-covariance alignment, estimation were introduced. Testing results show effectiveness performance, resulting well reflect typical characteristics analyzed trend.