Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps

Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps

In previous work, we demonstrated the potential of blood flow sounds for biometric authentication acquired by a custom-built auscultation device. For this purpose, we calculated the frequency spectrum for each cardiac cycle represented within the measurements based on continuous wavelet transform. T...

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Bibliographic Details
Main Authors: Henze Jasmin, Fuentealba Patricio, Salvi Rutuja, Sahare Natasha, Bisgin Pinar, Burmann Anja, Illanes Alfredo, Friebe Michael
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
saliency maps
continuous wavelet transform
convolutional neural networks
biometry
blood flow sounds
Online Access:https://doi.org/10.1515/cdbme-2022-1138

Internet

https://doi.org/10.1515/cdbme-2022-1138

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