Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30273
Title: Adaptive baseline wander removal in the pulse waveform
Authors: Lisheng, X
Kuanquan, W
Zhang, D 
Cheng, S
Keywords: Baseline wander
Cubic spline
FIR filter
Meyer wavelet
Pulse diagnosis
Pulse waveform
Issue Date: 2002
Source: Proceedings of the IEEE Symposium on Computer-Based Medical Systems, 2002, p. 143-148 How to cite?
Abstract: Pulse waveform plays important role in pulse diagnosis, which is the key technique in Traditional Chinese Medicine. However, its baseline wander introduced in the acquisition process will result in misdiagnosis. Therefore a wavelet based cascade adaptive filter to remove this wander is presented in this paper. This cascade adaptive filter works in two stages. The first stage is a discrete Meyer wavelet filter and the second stage is the cubic spline estimation. Comparing with some traditional methods, such as cubic spline estimation and Linear-phase FIR least-squares error minimization digital filter, the proposed approach has better performance for removing the baseline wander of pulse waveform.
Description: fifteenth IEEE Symposium on Computer-Based Medical Systems, Maribor, 4-7 June 2002
URI: http://hdl.handle.net/10397/30273
ISBN: 0-7695-1614-9
ISSN: 1063-7125
DOI: 10.1109/CBMS.2002.1011368
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