Volume 8 Number 4 (Aug. 2016)
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IJCEE 2016 Vol.8(4): 275-279 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2016.8.4.272-279

Heart Rate Variability (HRV) Based Feature Extraction for Congestive Heart Failure

Seda Guzel Aydin, Turgay Kaya, Hasan Guler
Abstract—Heart Rate Variability (HRV) signal which is providing information about variation between consecutive heartbeats has been employed for extracting the parameter related to Congestive Heart Failure (CHF) from Electrocardiography (ECG). There are several studies on HRV analysis and CHF however most of the studies were performed by text-based methods. The main objective of this work is not only search to extract parameters but also to accomplish the difficulties in the text based program. This study presents graphical programming language to investigate features of HRV. Graphical User Interface (GUI) has been developed in LabVIEW to create some method for extraction features related to CHF. HRV are analyzed in the time and frequency domains. Parameters related to the time and frequency domains are derived for healthy ECG and ECG signals having Congestive Heart Failure. Several parameters which are necessary for classification algorithms are obtained.

Index Terms—Congestive Heart Failure (CHF), Electrocardiography (ECG), Heart Rate Variability (HRV), LabVIEW.

Firat University, Electrical-Electronics Engineering Department, Elazig/Turkey

Cite:Seda Guzel Aydin, Turgay Kaya, Hasan Guler, "Heart Rate Variability (HRV) Based Feature Extraction for Congestive Heart Failure," International Journal of Computer and Electrical Engineering vol. 8, no. 4, pp. 272-279, 2016.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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