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
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.
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