Record Details

Transition detection in body movement activities for wearable ECG

DSpace at IIT Bombay

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Title Transition detection in body movement activities for wearable ECG
 
Creator PAWAR, T
ANANTAKRISHNAN, NS
CHAUDHURI, SUBHASIS
DUTTAGUPTA, SP
 
Subject recording instruments
principal component analysis
electrocardiography
patient monitoring
 
Description It has been shown by Pawar (2007) that the motion artifacts induced by body movement activity (BMA) in a single-lead wearable electrocardiogram (ECG) signal recorder, while monitoring an ambulatory patient, can be detected and removed by using a principal component analysis (PCA)-based classification technique. However, this requires the ECG signal to be temporally segmented so that each segment comprises of artifacts due to a single type of body movement activity. In this paper, we propose a simple, recursively updated PCA-based technique to detect transitions wherever the type of body movement is changed.
 
Publisher IEEE
 
Date 2008-12-01T04:54:30Z
2011-11-25T12:55:20Z
2011-12-26T13:07:15Z
2011-12-27T05:55:24Z
2008-12-01T04:54:30Z
2011-11-25T12:55:20Z
2011-12-26T13:07:15Z
2011-12-27T05:55:24Z
2007
 
Type Article
 
Identifier IEEE Transactions on Biomedical Engineering 54(6 Part 2), 1149-52
0018-9294
http://dx.doi.org/10.1109/TBME.2007.891950
http://hdl.handle.net/10054/199
http://dspace.library.iitb.ac.in/xmlui/handle/10054/199
 
Language en_US