DocumentCode
1102685
Title
Multiway sequential hypothesis testing for tachyarrhythmia discrimination
Author
Thakor, Nitish V. ; Natarajan, Ananth ; Tomaselli, Gordon F.
Author_Institution
Dept. of Biomed. Eng., Johns Hopkins Sch. of Med., Baltimore, MD, USA
Volume
41
Issue
5
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
480
Lastpage
487
Abstract
A multiway sequential hypothesis testing (M-SHT) algorithm is proposed for simultaneous discrimination of cardiac tachyarrhythmias-supraventricular tachycardia (SVT) and ventricular tachycardia (VT)-from normal sinus rhythm (NSR). The M-SHT algorithm calculates a likelihood function from atrio-ventricular delay measurements, and compares this function with thresholds derived from specified error probabilities for the arrhythmias to be discriminated. Performance of this algorithm was evaluated on dual channel endocardial electrograms recorded in the cardiac electrophysiology laboratory. Two databases were developed, one for development of the algorithm and another for evaluation. The M-SHT algorithm accurately classified 26 out of 28 NSR (2 misclassified as SVT), 31 out of 31 cases of SVT, and 41 out of 43 VT (2 misclassified as NSR). The average length of time taken for classification of the three rhythms was: 3.6 s for NSR, 5.0 s for SVT, and 1.6 s for VT. Unique features of this algorithm are that acceptable error rates for each arrhythmia are independently specified and accuracy can be traded off for a faster detection time, and vice versa.
Keywords
electrocardiography; medical signal processing; 1.6 to 5 s; ECG analysis; atrioventricular delay measurements; cardiac electrophysiology laboratory; cardiac tachyarrhythmias; databases; detection time; dual channel endocardial electrograms; error rates; heart disorders; likelihood function; multiway sequential hypothesis testing algorithm; normal sinus rhythm; specified error probabilities; supraventricular tachycardia; tachyarrhythmia discrimination; ventricular tachycardia; Cardiology; Delay; Electrocardiography; Error analysis; Frequency domain analysis; Medical diagnostic imaging; Rhythm; Sequential analysis; Signal processing algorithms; Testing; Adult; Algorithms; Electrocardiography; Female; Humans; Likelihood Functions; Male; Middle Aged; Normal Distribution; Signal Processing, Computer-Assisted; Tachycardia;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.293223
Filename
293223
Link To Document