A comprehensive guide to the Inverse Adding-Doubling (IAD) method for deducing intrinsic optical parameters from reflectance and transmittance measurements, including validation against MOP-MCML simulations.
A MATLAB-based framework for generating customizable ECG and PPG signals with realistic noise artifacts, designed to train and validate signal classification algorithms.
Sharing the experience of winning Best Student Paper Awards at two IEEE conferences.
An overview of openly accessible physiological signal repositories from PhysioNet, serving as essential resources for training advanced models and validating biomedical algorithms.