Effect of Body Posture on Heart Rate Variability Analysis of ECG Signal
Ruchita, Lini Mathew
Citation
Ruchita, Lini Mathew, “Effect of Body Posture on Heart Rate Variability Analysis of ECG Signal”, International Journal of Engineering and Applied Computer Science, vol. 04, no. 03, pp. 15-20, Apr. 2022.
Abstract
An assessment of cardiac function derived from the ECG signal is known as heart charge variability (HRV). The evaluation of HRV provides ways for analyzing entry into the heart rhythm non-invasively, which can be used to guide treatment. For the prevailing study, records of ten members in two one-of-a-kind frame postures have been taken. Sets of records have been received in sleeping and sitting positions. In addition, The R-peak produced from the ECG is employed in the evaluation of the RR interval. It is also applied for the evaluation of HRV. In the context of coronary heart rate (HR), HRV is linked to tachycardia (HR > 100 bpm) and bradycardia (HR 60 bpm). Linear HRV characteristics with unique time-domain and frequency-domain indices are interpreted into two distinct postures. As a result, it is possible to conclude that the RR interval increases for the supine position during all two poses, as sitting appears to be a more comfortable situation than the alternative one. Also, as the frequency-area evaluation result proposes, the LF/HF ratio is better in the supine position, i.e., better sympathetic has an effect. Consequently, supine has a higher resting circumstance than that sitting. A non-linear Poincare plot has also been incorporated for accessing variability.
h-index
6
i10-index
4
Impact Factor
2.35
RUCHITA
Mrs. Ruchita received a B.Tech degree in Electrical and Electronics Engineering in 2011 from Uttarakhand Technical University, Dehradun, India. She is now pursuing an ME in Instrumentation & Control from the National Institute of Technical Teachers Training and Research affiliated with Panjab University, Chandigarh, India.
LINI MATHEW
Dr. Lini Mathew is a Professor and Head of the Department of Electrical Engineering at the National Institute of Technical Teachers Training and Research affiliated with Panjab University, Chandigarh, India. She has received BE degree from the University of Kerala, Thiruvananthapuram, India. She has completed her higher education ME and Ph.D. from Panjab University, Chandigarh, India.
International Journal of Engineering and Applied Computer Science
EMPIRICAL RESEARCH PRESS LTD. LONDON UNITED KINGDOM
