Adaptive Baseline Wander Removal in the Pulse Waveform

Authors:
Xu Lisheng;Wang Kuanquan;David Zhang;Shi Cheng
Affiliations:
-;-;-;-
Venue:
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Year:
2002

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Abstract

Pulse waveform plays important role in pulse diagnosis, which is the key technique inTraditional Chinese Medicine. However, its baseline wander introduced in the acquisitionprocess will result in misdiagnosis. Therefore a wavelet based cascade adaptive filter toremove this wander is presented in this paper. This cascade adaptive filter works in twostages. The first stage is a discrete Meyer wavelet filter and the second stage is the cubicspline estimation. Comparing with some traditional methods, such as cubic spline estimationand Linear-phase FIR least-squares error minimization digital filter, the proposed approachhas better performance for removing the baseline wander of pulse waveform.