(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-5 Issue-48 November-2018
Full-Text PDF
DOI:10.19101/IJATEE.2018.547013
Paper Title : Heart arrhythmia detection using labview GUI based approach
Author Name : Abhijeet R. Satani, Dinesh R. Damodar and Bhoomi R. Satani
Abstract :

This paper impose a practical approach and experiment to detect heart abnormality by placing surface electrode on the body of patient user and exerting use of LabView GUI to estimate about heart condition. Every disease can be treated and cure from substantive, if it got noticed and expressed to corresponding physician in the initial period of its origin. In contemporary era, traditional ECG device with graph structure output is in use to identify arrhythmia which need to be prescribed by physician in case patient came up with any inquire regarding relevant symptom. Arrhythmia has been found to be having such large impact with aging, so at old age people are more likely to get affected in major cases. Even people attempt to ignore visit physician in case of tiny difficulties happen to them considering it might be hallucinations due to heavy load work or lack of sufficient rest. Objective of this technique is to design and develop a technique to determine heart abnormality more particularly arrhythmia at early stage. Since it controlled by visual and graphical approach, it become familiar due to easy accessibility and interpreting features. Electrocardiography has captured here using circuitry mechanism by configuring proper values of various implemented filter and noise offset values. It gives real time alert about heart arrhythmia which has considerably responsible and involved for sudden deaths of victim. Currently available ECG devices enough expensive and only can be used under observation of experts don’t allow old age people to access this test at home. Considering this perspective less expensive model with privileges of customization is employed and expressed here for prompt and regular check-up at home safely. So even in case of initial traits, they can immediately contact nearest physician for further guidance. Arrhythmia proliferates immediately or suddenly so early detection of arrhythmia detection can assist heart experts for iterating advance precautions.

Keywords : Heart arrhythmia detection, Heart abnormality detection, LABVIEW based GUI interface configuration, Electrocardiography, ECG acquisition circuit, Real time ECG analysis.
Cite this article : Abhijeet R. Satani, Dinesh R. Damodar and Bhoomi R. Satani , " Heart arrhythmia detection using labview GUI based approach " , International Journal of Advanced Technology and Engineering Exploration (IJATEE), Volume-5, Issue-48, November-2018 ,pp.452-459.DOI:10.19101/IJATEE.2018.547013
References :
[1]Rege S, Barkey T, Lowenstern M. Heart arrhythmia detection. Virtual conference on applications of commercial sensors (VCACS) 2015 (pp. 1-7). IEEE.
[Crossref] [Google Scholar]
[2]Curtis AB, Karki R, Hattoum A, Sharma UC. Arrhythmias in patients≥ 80 years of age: pathophysiology, management, and outcomes. Journal of the American College of Cardiology. 2018; 71(18):2041-57.
[Crossref] [Google Scholar]
[3]Al-Fahoum AS, Qasaimeh AM. ECG arrhythmia classification using simple reconstructed phase space approach. In computers in cardiology 2006 (pp. 757-60). IEEE.
[Google Scholar]
[4]Acharya R, Kannathal N, Krishnan SM. Comprehensive analysis of cardiac health using heart rate signals. Physiological Measurement. 2004; 25(5):1139-51.
[Crossref] [Google Scholar]
[5]Rathikarani V, Dhanalakshmi P. Automatic classification of ECG signal for identifying arrhythmia. International Journal of Advanced Research in Computer Science and Software Engineering. 2013; 3(9): 10376-84.
[Google Scholar]
[6]Cromwell L, Weibell FJ, Pfeiffer EA. Biomedical instrumentation and measurements. Pearson; 2018.
[Google Scholar]
[7]Murugappan M, Thirumani R, Omar MI, Murugappan S. Development of cost effective ECG data acquisition system for clinical applications using LabVIEW. In international colloquium on signal processing & its applications 2014 (pp. 100-5). IEEE.
[Crossref] [Google Scholar]