Independent Component Analysis

Abstract— Objective: Pulse oximetry is widely used to measure photoplethysmographic (PPG) signals and blood oxygen saturation but is susceptible to motion artifacts. This is a particular challenge for the growing field of wearable health devices. Independent component analysis (ICA) offers a solution for artifact removal without additional sensors. As there are different approaches for performing an ICA and because artifacts can take many forms, the optimal configuration is unknown.