Explaining ECG Biometrics: Is It All In The QRS?

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Pinto, JR (Autor) Outra; Jaime S Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group

Páginas: 139-150

19th International Conference of the Biometrics Special Interest Group, BIOSIG 2020

16 September 2020 through 18 September 2020

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00S-W4C

Abstract (EN): 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-the-person (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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5