Explaining ECG Biometrics: Is It All In The QRS?

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Pinto, JR (Author) Other; Jaime S Cardoso (Author) FEUP

Conference proceedings International

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

Pages: 139-150

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

16 September 2020 through 18 September 2020

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5