Advantages of Modeling Photoplethysmography (PPG) Signals using Variational Autoencoders.

Photoplethysmography (PPG) signal analysis is an emerging field of research and has been applied to a variety of tasks like disease detection and blood pressure monitoring, and the signal waveforms, when properly deciphered, continue to expose increasing levels of detail about the physiology of a person. Variational Autoencoders (VAE) is a fundamental deep learning technique that is within the category of generative models in artificial intelligence. The transformative nature of VAEs enable a powerful approach of processing and interpreting PPG signals.