A New Heart Arrhythmia’s Detection Algorithm

Farid Rezazadeh and Seyed Amin Hosseini Seno
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Farid Rezazadeh: Department of Computer Engineering, Faculty of Engineering
Seyed Amin Hosseini Seno: Computer Network Research Laboratory, Ferdowsi University of Mashhad

Journal of Knowledge Management, Economics and Information Technology, 2013, vol. 3, issue 6, 4

Abstract: In this paper we present the RRP algorithm with new adaptive method with new solution to resolve respective problem RR interval algorithm in heart signal processing. At first we focus on some previous research, to conclude that, the important ECG processing algorithms discussed on deviation of ST section, width, height and duration of ORS complex of heart signal, efficient diagnosis, noise filtering contain baseline shifts, muscle artefacts and electrode motion. Also RRP algorithm include three parts of signal processing, determination signal features and compare with previously established patient heart signal. In the last stage, using adaptive threshold values for peak detection routines were used for the heart patients with various conditions. The algorithm efficiency is simulated and compared with conventional RR interval algorithm by MATLAB.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spp:jkmeit:1416

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