Comparative Analysis of Heart Rate Variability Parameters for Arrhythmia and Atrial Fibrillation using ANOVA

Kirti¹, Harsh Sohal², Shruti Jain³

Electronics and Communication Engineering Department, JaypeeUniversity Information Technology, Solani, H.P India.

Corresponding Author E-Mail: kirtitripathifzk@gmail.com

Abstract: Heart Rate Variability (HRV) is an important criterion to check the cardiac health. Sudden HRV signifies the unhealthy condition of the heart, particularly when the person is suffering from a cardiac disease. HRV parameters on different patients of different ages, gender and health conditions are observed using time domain, geometrical domain and frequency domain. Statistical comparison is done on three different databases MIT/BIH Normal Sinus Rhythm (NSR), MIT/BIH Arrhythmia (AR) and MIT/BIH Atrial Fibrillation (AF) using Analysis of Variance (ANOVA) technique. We have extracted twenty HRV features from all the three domains, which show weak, moderate or strong significant changes as per the relation during comparison with respective databases. Out of twenty only nine features are selected which shows noticeable difference between three databases. Later, the selected features will be used for classification in future.

Keywords: Analysis of Variance; Finite Impulse Response; Heart Rate; Heart Rate Variability

[ HTML Full Text]

Back to TOC