Automated ECG rhythm analysis using fuzzy reasoning

Author

Zong, W. ; Jiang, D.

Author_Institution

Inst. of Biomed. Eng., Xi´´an Jiaotong Univ., China

fYear

1998

fDate

13-16 Sep 1998

Firstpage

69

Lastpage

72

Abstract

Presents a fuzzy reasoning approach for ECG beat and rhythm detection and classification. Linguistic variables are used to represent beat features and fuzzy conditional statements perform reasoning. Five beat types and more than 20 arrhythmias were considered. The method performed well when evaluated with the MIT-BIH Arrhythmia Database. It conveniently summarizes and makes use of medical knowledge and diagnostic rules, and has promise for more complicated clinical applications such as multi-parameter intelligent patient monitoring systems

Keywords

computerised monitoring; electrocardiography; feature extraction; fuzzy logic; medical expert systems; medical signal detection; medical signal processing; ECG beat detection; ECG classification; ECG rhythm detection; MIT-BIH arrhythmia database; beat features; diagnostic rules; electrodiagnostics; fuzzy conditional statements; fuzzy reasoning approach; linguistic variables; medical knowledge; multiparameter intelligent patient monitoring systems; Biomedical engineering; Cardiology; Clustering algorithms; Electrocardiography; Fuzzy reasoning; Fuzzy sets; Heart rate variability; Medical diagnostic imaging; Rhythm; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1998

Conference_Location

Cleveland, OH

ISSN

0276-6547

Print_ISBN

0-7803-5200-9

Type

conf

DOI

10.1109/CIC.1998.731721

Filename

731721