Systems, methods, apparatuses, and computer program products for reconstructing electrocardiogram (ECG) waveforms from photoplethysmogram (PPG) signals using dictionary learning and deep learning for continuous monitoring and analytics. A method may include obtaining an electrical signal of a heart. The method may also include obtaining a circulatory signal related to a pulsatile volume of blood in tissue. The method may further include preprocessing the electrical signal and the circulatory signal. In addition, the method may include learning a mapping from at least one of the preprocessed electrical signal and the preprocessed circulatory signal. Further, the method may include training a model using the mapping. The method may also include deriving cardiovascular data based on the trained model.
RECONSTRUCTION OF ELECTROCARDIOGRAM FROM PHOTOPLETHYSMOGRAM SIGNALS