Decomposing atrial activity signal by combining ICA and WABS

Huhe Dai, Ali Hassan Sodhro, Ye Li

Forskningsoutput: Kapitel i bok/rapportKapitel i bokPeer review

3 Citeringar (Scopus)

Sammanfattning

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.

OriginalspråkEngelska
Titel på värdpublikation Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
FörlagIEEE Conference Publishing
Sidor5849-5852
Antal sidor4
Volym2013
Utgåva35
ISBN (elektroniskt)1558-4615
ISBN (tryckt)1094-687X
DOI
StatusPublicerad - 2013
Externt publiceradJa
Evenemang2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Varaktighet: 2013-juli-032013-juli-07

Konferens

Konferens2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Land/TerritoriumJapan
OrtOsaka
Period13-07-0313-07-07

Nationell ämneskategori

  • Elektroteknik och elektronik (202)

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