Journal of Knowledge Management, Economics and Information Technology, Volume (3), No (6), Year (2013-12) , Pages (1-22)

Title : ( A New Heart Arrhythmia’s Detection Algorithm )

Authors: farid rezazadeh , Seyed Amin Hosseini Seno ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

In this paper we presents 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 tha, 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 artifacts 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.

Keywords

, ECG, heart signal processing, RRP
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1038871,
author = {Rezazadeh, Farid and Hosseini Seno, Seyed Amin},
title = {A New Heart Arrhythmia’s Detection Algorithm},
journal = {Journal of Knowledge Management, Economics and Information Technology},
year = {2013},
volume = {3},
number = {6},
month = {December},
issn = {2247-7756},
pages = {1--22},
numpages = {21},
keywords = {ECG; heart signal processing; RRP algorithm},
}

[Download]

%0 Journal Article
%T A New Heart Arrhythmia’s Detection Algorithm
%A Rezazadeh, Farid
%A Hosseini Seno, Seyed Amin
%J Journal of Knowledge Management, Economics and Information Technology
%@ 2247-7756
%D 2013

[Download]