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

• Published in: Expert systems with applications Vol. 246; p. 123167
• Main Authors: Mahmud, Sakib, Chowdhury, Muhammad E.H., Kiranyaz, Serkan, Islam Tapotee, Malisha, Saha, Purnata, Tahir, Anas M., Khandakar, Amith, Alqahtani, Abdulrahman
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.07.2024
• Subjects: 1D-CycleGANs; Blind PPG Restoration; Heart Rate Variability; Super-ONN; TTR-GAN; Wearables; Wrist to Finger PPG Translation; TTR-GAN; Wrist to Finger PPG Translation; Super-ONN; Wearables; Blind PPG Restoration; 1D-CycleGANs; Heart Rate Variability

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 learning algorithms, frequently struggle to effectively restore the inherent bo...