Classification of PVCs with a fuzzy logic system

Author

Wieben, Oliver ; Tompkins, Willis J. ; Afonso, Valtino X.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

1

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

65

Abstract

The authors propose a fuzzy logic system for the classification of premature ventricular beats (PVCs) in ECGs. The classifier uses novel features extracted from a time-frequency analysis performed by a filter bank in addition to measurements related to the timing of R-R intervals and morphology analysis. The performance of the algorithm is evaluated on the MIT-BIH Arrhythmia Database following the AAMI recommendations. The achieved sensitivity is 81.34% and the positive predictivity is 80.64%

Keywords

electrocardiography; feature extraction; fuzzy logic; medical signal processing; time-frequency analysis; AAMI recommendations; MIT-BIH Arrhythmia Database; R-R intervals timing; algorithm performance; electrodiagnostics; filter bank; morphology analysis; positive predictivity; premature ventricular beats classification; Electrocardiography; Feature extraction; Filter bank; Fuzzy logic; Heart rate variability; Morphology; Performance analysis; Performance evaluation; Time frequency analysis; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.754464

Filename

754464