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Impact analysis of body movement in ambulatory ECG

DSpace at IIT Bombay

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Field Value
 
Title Impact analysis of body movement in ambulatory ECG
 
Creator PAWAR, T
ANANTAKRISHNAN, NS
CHAUDHURI, SUBHASIS
 
Subject computational methods
recursive functions
motion estimation
principal component analysis
 
Description Ambulatory ECG analysis is adversely affected by motion artifacts induced due to body movements. Knowledge of the extent of motion artifacts facilitates better ECG analysis. In [1], an unsupervised method using recursive principal component analysis (RPCA) was used to detect transitions between body movements. In this paper, we endeavour to quantify the impact of various types of body movements on the extent of ECG motion artifact using the RPCA error signal. For this purpose, acceleration data from different body parts i.e. arm(s), leg and waist, have been obtained using commercially available motion sensors, in conjunction with ECG signal, while carrying out routine body movement activities like climbing stairs, walking, twisting, and arm movements, at three different intensity levels: slow, medium and fast. The acceleration magnitudes and the RPCA error sequence are found to be well correlated, thus validating the body movement impact analysis, and also indicating the suitability of the method for quantification of body movement kinematics from the ECG signal itself in the absence of any accelerometer sensors.
 
Publisher IEEE
 
Date 2009-01-21T06:44:56Z
2011-11-28T07:06:57Z
2011-12-15T09:56:43Z
2009-01-21T06:44:56Z
2011-11-28T07:06:57Z
2011-12-15T09:56:43Z
2007
 
Type Article
 
Identifier Proceedings of the IEEE 29th Annual International Conference of the Engineering in Medicine and Biology Society, Lyon, France, 23-26 August 2007, 5453-5456
978-1-4244-0787-3
10.1109/IEMBS.2007.4353579
http://hdl.handle.net/10054/563
http://dspace.library.iitb.ac.in/xmlui/handle/10054/563
 
Language en