Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals
Feature extraction; HRV; Multi-rate FIR filter
The overall healthiness of the heart can be computed from Electrocardiogram. The healthiness of the heart depends on several lifestyle parameters, like as- stress, sleeping pattern, smoking habit etc. In this paper, an algorithm to determine Heart Rate Variability from the acquired ECG signal on a real-time basis is presented. Impacts of above-stated lifestyle parameters on cardiac health using Heart Rate Variability analysis are also computed. ECG signal gets contaminated with different sources of noises while acquisition. Multi-rate FIR Impulse Filter is used for de-noising of the acquired signal. Heart Rate Variability analysis and real-time plotting are done on de-noised output for accurate feature extraction. A simple robust hardware realizable algorithm was developed for analyzing obtained HRV to state different health conditions of the heart. 2019 IEEE.
Divyabharathi O.; Sundar A.; Mukherjee C.; Deepika S.
2019 International Conference on Data Science and Communication, IconDSC 2019
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/IconDSC.2019.8816927 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072771895&doi=10.1109%2fIconDSC.2019.8816927&partnerID=40&md5=f1addc5b91175818efd41e1da00453f2
Divyabharathi O., Electronics and Communication Engg, CHRIST, Deemed to be University, Bengaluru, India; Sundar A., Electronics and Communication Engg, CHRIST, Deemed to be University, Bengaluru, India; Mukherjee C., Electronics and Communication Engg, CHRIST, Deemed to be University, Bengaluru, India; Deepika S., Electronics and Communication Engg, CHRIST, Deemed to be University, Bengaluru, India