NDLI: Low-distortion baseline removal algorithm for electrocardiogram signals

Content Provider	IEEE Xplore Digital Library
Author	Ling Zheng Lall, C. Yu Chen
Copyright Year	2012
Description	Author affiliation: Draeger, Andover, USA (Lall, C.; Yu Chen) \|\| BD Medical, Billerica, USA (Ling Zheng)
Abstract	A new ECG baseline removal method is presented in this paper. This method is based on the Savitzky-Golay polynomial smoothing filter. Since this filter is defined in the time domain, it has the advantage of following the trend of the baseline wander. The results from this method are compared to the cubic spline method and a heart rate adaptive high-pass filter. The comparison shows that the SG baseline filter has comparable performance to these two other established methods. This new method is simple, and does not require extra knowledge about the ECG, such as isoelectric points required by the cubic spline method or the heart rate required by the high-pass filter. Thus it is more suitable for implementation in ECG monitoring systems.
Starting Page	769
Ending Page	772
File Size	283353
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Finite impulse response filter Electrocardiography Low pass filters IIR filters Polynomials Heart rate Filtering theory
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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