Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/xmlui/handle/10054/199
Title: Transition detection in body movement activities for wearable ECG
Authors: PAWAR, T
ANANTAKRISHNAN, NS
CHAUDHURI, SUBHASIS
DUTTAGUPTA, SP
Keywords: Recording Instruments
Principal Component Analysis
Electrocardiography
Patient Monitoring
Issue Date: 2007
Publisher: IEEE
Citation: IEEE Transactions on Biomedical Engineering 54(6 Part 2), 1149-52
Abstract: 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.
URI: 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
ISSN: 0018-9294
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