Detection of Premature Ventricular Contraction for real-time applications

Author

Ittatirut, Supat ; Lek-uthai, Apiwat ; Teeramongkonrasmee, Arporn

Author_Institution

Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand

fYear

2013

fDate

15-17 May 2013

Firstpage

1

Lastpage

5

Abstract

This paper proposes a real-time algorithm of Premature Ventricular Contraction (PVC) detection based on a low computational method. This algorithm considers three time-domain features which are RR-interval, QRS-width and QRS-pattern. Simple decision rules are used in the classifier process which is suitable for embedded applications. The algorithm was tested with 26 ECG records from MIT-BIH Arrhythmia Database (MIT-DB). After evaluation, the performance of the proposed method has 91.05% of sensitivity and 99.55% of specificity.

Keywords

electrocardiography; medical signal processing; real-time systems; signal classification; time-domain analysis; ECG record; MIT-BIH arrhythmia database; MIT-DB; PVC detection; QRS-pattern; QRS-width; RR-interval; classifier process; decision rule; embedded application; low computational method; premature ventricular contraction detection; real-time algorithm; real-time application; time-domain feature; Classification algorithms; Electrocardiography; Feature extraction; Heart beat; Heart rate variability; Real-time systems; Sensitivity; Premature ventricular contraction (PVC); QRS-pattern; QRS-width; RR-interval; Real-time Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference on

Conference_Location

Krabi

Print_ISBN

978-1-4799-0546-1

Type

conf

DOI

10.1109/ECTICon.2013.6559531

Filename

6559531