Compression-Based Classification of ECG Using First-Order Derivatives

João Carvalho; Susana Brás; Armando Pinho

Intelligent Technologies for Interactive Entertainment. 10th EAI International Conference, INTETAIN 2018, Guimarães, Portugal, November 21-23, 2018, Proceedings

Research Article

Compression-Based Classification of ECG Using First-Order Derivatives

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@INPROCEEDINGS{10.1007/978-3-030-16447-8_3,
    author={Jo\"{a}o Carvalho and Susana Br\^{a}s and Armando Pinho},
    title={Compression-Based Classification of ECG Using First-Order Derivatives},
    proceedings={Intelligent Technologies for Interactive Entertainment. 10th EAI International Conference, INTETAIN 2018, Guimar\"{a}es, Portugal,  November 21-23, 2018, Proceedings},
    proceedings_a={INTETAIN},
    year={2019},
    month={4},
    keywords={Kolmogorov complexity Signal processing Compression Compression metrics Classification ECG Biometrics},
    doi={10.1007/978-3-030-16447-8_3}
}

João Carvalho
Susana Brás
Armando Pinho
Year: 2019
Compression-Based Classification of ECG Using First-Order Derivatives
INTETAIN
Springer
DOI: 10.1007/978-3-030-16447-8_3

João Carvalho¹^,*, Susana Brás¹, Armando Pinho¹

1: University of Aveiro

*Contact email: joao.carvalho@ua.pt

Abstract

Due to its characteristics, there is a trend in biometrics to use the ECG signal for personal identification. There are different applications for this, namely, adapting entertainment systems to personal settings automatically.

Keywords: Kolmogorov complexity Signal processing Compression Compression metrics Classification ECG Biometrics

Published: 2019-04-01
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-16447-8_3