DocumentCode
1110111
Title
Evaluation of techniques for recognition of ventricular arrhythmias by implanted devices
Author
Ripley, Kenneth L. ; Bump, Thomas E. ; Arzbaecher, Robert C.
Author_Institution
Pritzker Inst. of Med. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume
36
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
618
Lastpage
624
Abstract
Three methods of electrogram analysis have been investigated: rate, irregularity, and amplitude distribution. In 35 episodes in 19 patients, these three algorithms were applied to 15 s recorded passages of ventricular electrograms during supraventricular tachycardia (N=11), ventricular tachycardia (N=11), and ventricular fibrillation (N=13). Each was individually paired with a recording of sinus rhythm from the same patient. Each algorithm was successful at distinguishing the tachyarrhythmias from sinus rhythm at one or more levels of algorithm parameterization. Rate alone discriminated supraventricular tachycardia from ventricular fibrillation but did not distinguish between supraventricular and ventricular tachycardia. Rate combined with irregularity distinguished between ventricular tachycardia and ventricular fibrillation, but did not discriminate between ventricular and supraventricular tachycardia. It is concluded that algorithms based on rate, irregularity, and amplitude distribution analysis of ventricular electrograms may distinguish sinus rhythm from tachyarrhythmias, but may not distinguish among tachyarrhythmias.
Keywords
electrocardiography; signal processing; 15 s; electrogram analysis; implanted devices; sinus rhythm; supraventricular tachycardia; ventricular arrhythmias recognition; ventricular fibrillation; ventricular tachycardia; Algorithm design and analysis; Batteries; Biomedical engineering; Electrodes; Event detection; Fibrillation; Rhythm; Sensitivity and specificity; Testing; Timing; Algorithms; Assisted Circulation; Diagnosis, Differential; Heart-Assist Devices; Humans; Tachycardia, Supraventricular; Ventricular Fibrillation;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.29456
Filename
29456
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