Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals
subject: Feature extraction; HRV; Multi-rate FIR filter
description: 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.
creator: Divyabharathi O.; Sundar A.; Mukherjee C.; Deepika S.
source: 2019 International Conference on Data Science and Communication, IconDSC 2019
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2019-01-01
rights: Restricted Access
relation: ISBN: 978-153869319-3
format: Online
language: English
type: Conference paper
coverage: 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