NDLI: An ECG signal processing algorithm based on removal of wave deflections in time domain

Content Provider	IEEE Xplore Digital Library
Author	Jungkuk Kim Minkyu Kim Injae Won Seungyhul Yang Kiyoung Lee Woong Huh
Copyright Year	2009
Description	Author affiliation: Information and communication Dept., Tongwon College, Kwangju, 464-711 Korea (Seungyhul Yang) \|\| Biomedical Engineering Dept., Kwandong University, Kangneung 210-701 Korea (Kiyoung Lee) \|\| Electronic Engineering Department, Myongji University, Yongin, 449-728 Korea (Jungkuk Kim; Minkyu Kim; Injae Won; Woong Huh)
Abstract	This paper introduces a new approach to process biomedical signals by surgically removing wave deflections in time domain. The method first determines the epochs of high frequency deflections, cuts out them from the signal, and then connects the two disconnected points. To determine the epoch of a deflection to be removed, four slope trace waves are used to isolate the deflection based on signal characteristics of amplitude, slope, duration, and distance from neighboring deflections. The method has been applied to simulated data and MIT-BIH arrhythmia database to show its practical efficacy in the case of baseline wandering removal. It is found that the method has the capability to identify and remove high frequency deflections appropriately, leaving low frequency deflection such as baseline drifting.
Starting Page	1335
Ending Page	1338
File Size	655578
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332405
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Signal processing algorithms Frequency Filtering Biomedical engineering Signal processing Surgery Databases Data mining Signal analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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