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

Robust Channel Identification Scheme: Solving Permutation Indeterminacy of ICA for Artifacts Removal from ECG
Robust Channel Identification Scheme: Solving Permutation Indeterminacy of ICA for Artifacts Removal from ECG
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.
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.
Acharyya, Amit
f7c95a87-04ac-4d13-a74c-0c4d89b1c79c
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Mondal, Sayanta
db99b1a1-368a-4ed8-b2da-69850aea8fb1
Acharyya, Amit
f7c95a87-04ac-4d13-a74c-0c4d89b1c79c
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Mondal, Sayanta
db99b1a1-368a-4ed8-b2da-69850aea8fb1

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. 32nd Annual International IEEE EMBS Conference, Argentina. 31 Aug - 04 Sep 2010. (Submitted)

Record type: Conference or Workshop Item (Paper)

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.

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Submitted date: 1 September 2010
Additional Information: Event Dates: August 31 - September 4, 2010
Venue - Dates: 32nd Annual International IEEE EMBS Conference, Argentina, 2010-08-31 - 2010-09-04
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.
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 271274
URI: https://eprints.soton.ac.uk/id/eprint/271274
PURE UUID: 4065eb3c-935a-4ab9-a518-fbd0e9107133

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Date deposited: 18 Jun 2010 16:27
Last modified: 01 Dec 2017 17:34

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