Robust Channel Identification Scheme: Solving Permutation Indeterminacy of ICA for Artifacts Removal from ECG


Acharyya, Amit, Maharatna, Koushik, Al-Hashimi, Bashir and Mondal, Sayanta (2010) Robust Channel Identification Scheme: Solving Permutation Indeterminacy of ICA for Artifacts Removal from ECG. In, 32nd Annual International IEEE EMBS Conference, Buenos Aires, Argentina, 31 Aug - 04 Sep 2010. (Submitted).

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Description/Abstract

In this paper we propose a novel channel identification scheme for solving permutation indeterminacy introduced by Independent Component Analysis (ICA) for artifacts removal from recorded three channel ECG signals within the remote health monitoring environment. The proposed scheme does not depend on the definition of any specific artifact which is the case with the existing approach and therefore leads to more robust and generic solution to this problem. The proposed scheme has been validated using nine practical case studies and its robustness has been proved by comparison with the existing approach. Simulation results show that the proposed scheme works successfully for all the nine cases whereas the existing approach fails to identify the correct channel for four cases.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: August 31 - September 4, 2010
Keywords: Healthcare Information Systems and telemedicine, Computer Aided Decision Making (Clinical and Operational), Remote Diagnostics and care, Mobile and Wearable Technologies for Elderly, ECG Artifacts Removal, Independent Component Analysis, Permutation Problem, Automatic Channel Identification Scheme.
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
ePrint ID: 271274
Date Deposited: 18 Jun 2010 16:27
Last Modified: 27 Mar 2014 20:16
Contact Email Address: aa07r@ecs.soton.ac.uk
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271274

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