A method comprising receiving, as input, a plurality of PPG waveform signal segments; extracting, from each of the segments, a feature set representing the PPG waveform signal; at a training stage, training a machine learning model on a training set comprising: (i) the feature sets, and (ii) labels indicating a quality parameters associated with the PPG waveform signal in each of the PPG waveform signal segments; and at an inference stage, applying the trained machine learning model to at least one feature set extracted from at least one target PPG waveform signal segment, to determine a quality parameter of the at least one target PPG waveform signal.
MACHINE LEARNING QUALITY ASSESSMENT OF PHYSIOLOGICAL SIGNALS