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
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Creator |
PAWAR, T
ANANTAKRISHNAN, NS CHAUDHURI, SUBHASIS DUTTAGUPTA, SP |
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Subject |
recording instruments
principal component analysis electrocardiography patient monitoring |
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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.
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Publisher |
IEEE
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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 |
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Type |
Article
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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 |
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Language |
en_US
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