Segmented ECG Bio Identification using Fréchet Mean Distance and Feature Matrices of Fiducial QRS Features

Abdullah Biran, Aleksandar Jeremic

2021

Abstract

In this paper, we present a new segmented based method for human identification using Fréchet distances and the characteristics of the lag-feature matrices of six fiducial based QRS features. We examined the applicability of our methodology on 124 ECG records of 62 subjects from the publicly available ECG ID data base. Our experiments show that the Fréchet distance can identify majority of the subjects (44 individuals) using the feature matrix of QRS segment lagged by one beat with an identification accuracy ranging from 80% to 100%. Our preliminary results indicate that identifying humans using segmented approaches can be potentially useful.

Paper Citation

in Harvard Style

Biran A. and Jeremic A. (2021). Segmented ECG Bio Identification using Fréchet Mean Distance and Feature Matrices of Fiducial QRS Features. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS; ISBN 978-989-758-490-9, SciTePress, pages 223-227. DOI: 10.5220/0010262300002865

in Bibtex Style

@conference{biosignals21,
author={Abdullah Biran and Aleksandar Jeremic},
title={Segmented ECG Bio Identification using Fréchet Mean Distance and Feature Matrices of Fiducial QRS Features},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS},
year={2021},
pages={223-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010262300002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS
TI - Segmented ECG Bio Identification using Fréchet Mean Distance and Feature Matrices of Fiducial QRS Features
SN - 978-989-758-490-9
AU - Biran A.
AU - Jeremic A.
PY - 2021
SP - 223
EP - 227
DO - 10.5220/0010262300002865
PB - SciTePress