Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals
- Title
- Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals
- Creator
- Divyabharathi O.; Sundar A.; Mukherjee C.; Deepika S.
- 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.
- Source
- 2019 International Conference on Data Science and Communication, IconDSC 2019
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Feature extraction; HRV; Multi-rate FIR filter
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-153869319-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Divyabharathi O.; Sundar A.; Mukherjee C.; Deepika S., “Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20798.