A robust signal preprocessing framework for wrist pulse analysis
We provide a robust and effective preprocessing framework for wrist pulse analysis. We introduce a cascade filter based on frequency-dependent analysis for de-noising. The first derivation strategy has the best performance in pulse period segmentation. We propose an adaptive thresholding method to eliminate the outliers. The wrist pulse analysis depends heavily on the pulse preprocessing methods.
period segmentation wrist pulse preprocessing wavelet-based decomposition intra-class distance