A LabVIEW Approach for Detection of Congestive Heart Failure

  • Sharada Suresh Dambal, Dr. Sudarshan B.G., Dr. Mahesh Kumar D.
Keywords: Heart Rate Variability (HRV), Autonomic Nervous System (ANS), Graphical User interface(GUI), Electrocardiogram(ECG).

Abstract

Heart rate variability (HRV) is an indirect indicator of functioning of Autonomic nervous system (ANS). Many diseases can be identified at an early stage and their prognosis can be monitored by analysing HRV. The common diseases correlate with HRV is Myocardial infarction, Hypertension, Arrythmia and Diabetes. HRV data which is voluminous has to be analysed and interpreted into numerical values which is easy to understand. This study presents not only the ECG signal parameter extraction but also accomplish the difficulties in text based algorithm over Graphical User Interface (GUI). LabVIEW has ready to run applications and provide best platform for biomedical signal processing. Biomedical and advanced signal processing tool kits are used for signal acquisition, pre-processing signal, R peak detection and HRV analysis.  In this work both time and frequency domain parameters are extracted for healthy and congestive heart failure ECG signals obtained from MIT-BIH physiobank database.

Published
2021-07-16
How to Cite
Dr. Mahesh Kumar D., S. S. D. D. S. B. (2021). A LabVIEW Approach for Detection of Congestive Heart Failure. Design Engineering, 3380-3390. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2753
Section
Articles