ECG based Human Identification using Short Time Fourier Transform and Histograms of Fiducial QRS Features

Abdullah Biran, Aleksandar Jeremic

Abstract

Human identification from the biological signal the Electrocardiogram (ECG) has been demonstrated in several studies. In this paper, we present a new technique for personal identification using short time Fourier transform (STFT) and histograms of four fiducial QRS features. We examined the applicability of our methodology on 162 ECG records of 81 subjects from the publicly available ECG ID data base. Our experiments show that the normalized Euclidean STFT distance can identify individuals with 95 % accuracy. Hence, with fusing six histogram distances computed from the QRS fiducial features and applying majority voting, the identification accuracy increases up to 100 %. These findings indicate that ECG is sufficiently unique signal and can be useful as biometric identifier.

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Paper Citation


in Harvard Style

Biran A. and Jeremic A. (2020). ECG based Human Identification using Short Time Fourier Transform and Histograms of Fiducial QRS Features.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, ISBN 978-989-758-398-8, pages 324-329. DOI: 10.5220/0009168303240329


in Bibtex Style

@conference{biosignals20,
author={Abdullah Biran and Aleksandar Jeremic},
title={ECG based Human Identification using Short Time Fourier Transform and Histograms of Fiducial QRS Features},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS,},
year={2020},
pages={324-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009168303240329},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS,
TI - ECG based Human Identification using Short Time Fourier Transform and Histograms of Fiducial QRS Features
SN - 978-989-758-398-8
AU - Biran A.
AU - Jeremic A.
PY - 2020
SP - 324
EP - 329
DO - 10.5220/0009168303240329