NDLI: VLSI design of ECG QRS complex detection using Multiscale Mathematical Morphology

Content Provider	IEEE Xplore Digital Library
Author	Vishnu Gopeka, S. Murali, L. Manigandan, T.
Copyright Year	2014
Description	Author affiliation: P. A. College of Engineering and Technology, Coimbatore, India (Vishnu Gopeka, S.; Manigandan, T.) \|\| Dept of ECE Hindustan College of Engg and Technology, Coimbatore, India (Murali, L.)
Abstract	This study presents the very large scale integration (VLSI) based electrocardiogram (ECG) QRS complex detector for wearable devices in body sensor networks. Multiscale Mathematical Morphology (MMM) is a method used to suppress background noise and baseline wandering from original ECG signal. The major advantage of this method is that it does not require any prior knowledge of frequency spectrum. Hence Multiscale Mathematical Morphology is very attractive for noise reduction. An efficient VLSI architecture in is designed and simulated for the same method. This algorithm is applied to ECG signal from MIT - BIH database and its performance is measured in terms of sensitivity (Se) and positive predictivity (+P) as 97.8% and 97.8% respectively.
Starting Page	478
Ending Page	482
File Size	1189365
Page Count	5
File Format	PDF
e-ISBN	9781479939145
DOI	10.1109/ICACCCT.2014.7019489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Body Sensor Networks Morphology Multiscale filtering Noise measurement Electrocardiogram (ECG) QRS Detection Very Large Scale Integration (VLSI) Mathematical Morphology
Content Type	Text
Resource Type	Article

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