A Robust Method for Pulse Peak Determination in a Digital Volume Pulse Waveform With a Wandering Baseline

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This paper presents a robust method for pulse peak determination in a digital volume pulse (DVP) waveform with a wandering baseline. A proposed new method uses a modified morphological filter (MMF) to eliminate a wandering baseline signal of the DVP signal with minimum distortion and a slope sum function (SSF) with an adaptive thresholding scheme to detect pulse peaks from the baseline-removed DVP signal. Further in order to cope with over-detected and missed pulse peaks, knowledge based rules are applied as a postprocessor. The algorithm automatically adjusts detection parameters periodically to adapt to varying beat morphologies and fluctuations. Compared with conventional methods (highpass filtering, linear interpolation, cubic spline interpolation, and wavelet adaptive filtering), our method performs better in terms of the signal-to-error ratio, the computational burden (0.125 seconds for one minute of DVP signal analysis with the Intel Core 2 Quad processor @ 2.40 GHz PC), the true detection rate (97.32% with an acceptance level of 4 ms) as well as the normalized error rate (0.18%). In addition, the proposed method can detect true positions of pulse peaks more accurately and becomes very useful for pulse transit time (PTT) and pulse rate variability (PRV) analyses.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2014-10
Language
English
Article Type
Article
Keywords

HEART-RATE; PHOTOPLETHYSMOGRAPHY; ELECTROCARDIOGRAM; NOISE; SUPPRESSION; SIGNALS; FILTER

Citation

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, v.8, no.5, pp.729 - 737

ISSN
1932-4545
DOI
10.1109/TBCAS.2013.2295102
URI
http://hdl.handle.net/10203/193927
Appears in Collection
EE-Journal Papers(저널논문)
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