Decomposing atrial activity signal by combining ICA and WABS

Huhe Dai; Ali Hassan Sodhro; Ye Li

doi:10.1109/EMBC.2013.6610882

Decomposing atrial activity signal by combining ICA and WABS

Huhe Dai
, Ali Hassan Sodhro
, Ye Li^*

^*Corresponding author for this work

Research output: Chapter in Book/Report › Chapter in book › peer-review

3 Citations (Scopus)

Abstract

In this paper we proposed a novel technique for Atrial Activity (AA) decomposition in Electrocardiogram (ECG) of Atrial Fibrillation (AF). The main purpose of our proposed technique is to decompose AA signal by combining two statistical methods, Independent Component Analysis (ICA)-existing and Weighted Average Beat Subtraction (WABS)-new, for AF with multiple stable sources, respectively. We found the limits of BSS algorithms which are mostly used to extract AA signal, while beauty of our proposed algorithm is that it decomposes multi-lead AA signals from surface ECG with AF. Our proposed technique is verified with clinical data and the results demonstrate that our proposed method is feasible.

Original language	English
Title of host publication	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE Conference Publishing
Pages	5849-5852
Number of pages	4
Volume	2013
Edition	35
ISBN (Electronic)	1558-4615
ISBN (Print)	1094-687X
DOIs	https://doi.org/10.1109/EMBC.2013.6610882
Publication status	Published - 2013
Externally published	Yes
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: 2013-Jul-03 → 2013-Jul-07

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/Territory	Japan
City	Osaka
Period	13-07-03 → 13-07-07

Swedish Standard Keywords

Electrical Engineering, Electronic Engineering, Information Engineering (202)

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10.1109/EMBC.2013.6610882

Cite this

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title = "Decomposing atrial activity signal by combining ICA and WABS",

abstract = "In this paper we proposed a novel technique for Atrial Activity (AA) decomposition in Electrocardiogram (ECG) of Atrial Fibrillation (AF). The main purpose of our proposed technique is to decompose AA signal by combining two statistical methods, Independent Component Analysis (ICA)-existing and Weighted Average Beat Subtraction (WABS)-new, for AF with multiple stable sources, respectively. We found the limits of BSS algorithms which are mostly used to extract AA signal, while beauty of our proposed algorithm is that it decomposes multi-lead AA signals from surface ECG with AF. Our proposed technique is verified with clinical data and the results demonstrate that our proposed method is feasible.",

author = "Huhe Dai and Sodhro, \{Ali Hassan\} and Ye Li",

year = "2013",

doi = "10.1109/EMBC.2013.6610882",

language = "English",

isbn = "1094-687X",

volume = "2013",

pages = "5849--5852",

booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

publisher = "IEEE Conference Publishing",

edition = "35",

note = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

}

Dai, H, Sodhro, AH & Li, Y 2013, Decomposing atrial activity signal by combining ICA and WABS. in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 35 edn, vol. 2013, IEEE Conference Publishing, pp. 5849-5852, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 13-07-03. https://doi.org/10.1109/EMBC.2013.6610882

TY - CHAP

T1 - Decomposing atrial activity signal by combining ICA and WABS

AU - Dai, Huhe

AU - Sodhro, Ali Hassan

AU - Li, Ye

PY - 2013

Y1 - 2013

N2 - In this paper we proposed a novel technique for Atrial Activity (AA) decomposition in Electrocardiogram (ECG) of Atrial Fibrillation (AF). The main purpose of our proposed technique is to decompose AA signal by combining two statistical methods, Independent Component Analysis (ICA)-existing and Weighted Average Beat Subtraction (WABS)-new, for AF with multiple stable sources, respectively. We found the limits of BSS algorithms which are mostly used to extract AA signal, while beauty of our proposed algorithm is that it decomposes multi-lead AA signals from surface ECG with AF. Our proposed technique is verified with clinical data and the results demonstrate that our proposed method is feasible.

AB - In this paper we proposed a novel technique for Atrial Activity (AA) decomposition in Electrocardiogram (ECG) of Atrial Fibrillation (AF). The main purpose of our proposed technique is to decompose AA signal by combining two statistical methods, Independent Component Analysis (ICA)-existing and Weighted Average Beat Subtraction (WABS)-new, for AF with multiple stable sources, respectively. We found the limits of BSS algorithms which are mostly used to extract AA signal, while beauty of our proposed algorithm is that it decomposes multi-lead AA signals from surface ECG with AF. Our proposed technique is verified with clinical data and the results demonstrate that our proposed method is feasible.

U2 - 10.1109/EMBC.2013.6610882

DO - 10.1109/EMBC.2013.6610882

M3 - Chapter in book

AN - SCOPUS:84886540142

SN - 1094-687X

VL - 2013

SP - 5849

EP - 5852

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE Conference Publishing

T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

Y2 - 3 July 2013 through 7 July 2013

ER -

Decomposing atrial activity signal by combining ICA and WABS

Abstract

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