Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring

<h3>Background and Motivations</h3><p dir="ltr">Physiological signals, such as the Photoplethysmogram (PPG) collected through wearable devices, consistently encounter significant motion artifacts. Current signal processing techniques, and even state-of-the-art machine lea...

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Bibliographic Details
Main Author: Sakib Mahmud (15302404) (author)
Other Authors: Muhammad E.H. Chowdhury (17151154) (author), Serkan Kiranyaz (3762058) (author), Malisha Islam Tapotee (17823464) (author), Purnata Saha (17823467) (author), Anas M. Tahir (16870077) (author), Amith Khandakar (14151981) (author), Abdulrahman Alqahtani (6056309) (author)
Published: 2024
Subjects:
Engineering
Biomedical engineering
Communications engineering
Information and computing sciences
Data management and data science
Machine learning
TTR-GAN
1D-CycleGANs
Super-ONN
Wearables
Blind PPG Restoration
Wrist to Finger PPG Translation
Heart Rate Variability
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