Real-Time Approach to HRV Analysis

Guilherme Ramos, Miquel Alfaras, Hugo Gamboa

Abstract

In this paper, we present the assessment of heart rate variability (HRV) applied to real-time processing of electrocardiographic (ECG) signals. A general approach for R-peak detection is described based on the computational implementation of Pan and Tompkins algorithm, used in the offline version. Besides feature extraction (from temporal and frequency domain), the paper presents the development steps taken towards online real-time biosignal processing. The functional basis of the online approach consists in the implementation of a simple adaptive double-threshold algorithm for peak detection and a sliding window mechanism along acquisition that provides a dynamically generated tachogram for the features to be successively extracted, highlighting the new application opportunities for continuous observation of HRV parameters.

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Paper Citation


in Harvard Style

Ramos G., Alfaras M. and Gamboa H. (2018). Real-Time Approach to HRV Analysis.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 208-215. DOI: 10.5220/0006641402080215


in Bibtex Style

@conference{biosignals18,
author={Guilherme Ramos and Miquel Alfaras and Hugo Gamboa},
title={Real-Time Approach to HRV Analysis},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,},
year={2018},
pages={208-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006641402080215},
isbn={978-989-758-279-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - Real-Time Approach to HRV Analysis
SN - 978-989-758-279-0
AU - Ramos G.
AU - Alfaras M.
AU - Gamboa H.
PY - 2018
SP - 208
EP - 215
DO - 10.5220/0006641402080215