Wearable cuffless blood pressure (BP) monitoring using photoplethysmography (PPG) sensors has gained attention for noninvasive hemodynamic assessment. However, most deep learning methods are purely data-driven and lack physiological consistency. This study presents a physiology-informed learning framework for PPG-based...
Adeeba Khan, Swarubini P. J., Ryunosuke Kirita et al.· IEEE Sensors Letters· 0 citations
Abstract Cognitive load assessment using functional nearinfrared spectroscopy (fNIRS) has gained increasing attention due to its non-invasive and high spatial resolution nature. However, reliable classification remains challenging due to non-stationary and nonlinear nature of haemodynamic signals. Conventional time-fre...
B. Parthiban, Podakanti Satyajith Chary, N. Ganapathy· Current Directions in Biomed...· 0 citations
Abstract Biological age reflects the functional state of the heart and can differ from chronological age, providing a useful indicator of cardiovascular health. This difference, estimated from electrocardiogram (ECG) signals as ECGderived biological age, has emerged as a promising digital biomarker for cardiovascular r...
Podakanti Satyajith Chary, N. Ganapathy· 0 citations
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