Konferenzbeitrag
Explaining ECG Biometrics: Is It All In The QRS?
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Dokumententyp
Text/Conference Paper
Datum
2020
Autor:innen
Zeitschriftentitel
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Bandtitel
Quelle
BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
The literature seems to indicate that the QRS complex is the most important component
of the electrocardiogram (ECG) for biometrics. To verify this claim, we use interpretability tools
to explain how a convolutional neural network uses ECG signals to identify people, using on-theperson
(PTB) and off-the-person (UofTDB) signals. While the QRS complex appears indeed to be
a key feature on ECG biometrics, especially with cleaner signals, results indicate that, for larger
populations in off-the-person settings, the QRS shares relevance with other heartbeat components,
which it is essential to locate. These insights indicate that avoiding excessive focus on the QRS
complex, using decision explanations during training, could be useful for model regularisation.