DocumentCode
1601052
Title
Combined Bispectral and Bicoherency approach for Catastrophic Arrhythmia Classification
Author
Al-Fahoum, A. ; Khadra, L.
Author_Institution
Hijjawi Fac. for Eng. Tech., Yarmouk Univ., Irbid
fYear
2005
fDate
6/27/1905 12:00:00 AM
Firstpage
332
Lastpage
336
Abstract
Quantitative classification of cardiac arrhythmia is an important tool in ICU and CCU that enables on line monitoring of the cardiac activities. Among fatal arrhythmias are atrial fibrillation (AF), ventricular tachycardia (VT), and ventricular fibrillation that require special algorithms for detection and so for direct medical actions. In this paper, a combined bispectrum and bicoherency classification algorithm is introduced. It is based on extracting diagnostic features from the bispectrum contours and the bicoherency indices that better describe the arrhythmia. A simple classification scheme utilizing these features showed notable sensitivity and specificity. The obtained results are found comparable to the state of the art algorithms with the ability of being integrated for on line monitoring and classification
Keywords
electrocardiography; feature extraction; medical signal processing; patient monitoring; signal classification; atrial fibrillation; bicoherency classification algorithm; bicoherency indices; bispectral classification algorithm; bispectrum contours; catastrophic arrhythmia classification; diagnostic feature extraction; on line monitoring; ventricular fibrillation; ventricular tachycardia; Atrial fibrillation; Biomedical monitoring; Classification algorithms; Frequency domain analysis; Heart; Medical diagnostic imaging; Rhythm; Sequential analysis; Time domain analysis; Time frequency analysis; Atrial fibrillation; Ventricular fibrillation; Ventricular tachycardia; bicoherency; bispectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1616412
Filename
1616412
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