A Review of Signal Processing Algorithms for Monitoring Heart Rate from Motion Corrupted Photo Plethysmo Graphic Signals

Abstract: Heart rate monitoring for fitness applications has gained new aspects with the emerging of smart watches or wrist bands. Estimating heart rate from motion corrupted PhotoPlethysmoGraphic (PPG) signals is extremely difficult under intensive physical exercise.Removing motion artifacts (MA) from the PPG signal is one of the most challenging issues.In this paper, a survey of methodologies for heart rate estimation from motion corrupted PPG signals is presented. Various MA removals, heart rate spectrum estimation from cleansed PPG signal and spectral peak tracking methods are discussed. Challenges associated with heart rate estimation from motion corrupted PPG signalsfor each method are studied and enabling solutions are reviewed. Keywords: Photoplethysmography (PPG), Heart Rate Monitoring, Motion artifact (MA),