A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter

By M. R. Ram, K. V. Madhav, E. Krishna, N. R. Komalla, K. Reddy. IEEE Transactions on Instrumentation and Measurement, 2012

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Towards Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice (2015, background): “(or even lower) Hz) prior to beat detection and make reference to several PPG beat detection and artifact handling methods [51]–[56], [140], [141].”
Wearable Photoplethysmographic Sensors—Past and Present (2014, methodology): “A simple, efficient approach, based on the AS-LMS adaptive filter, was applied to reduce motion artifacts in corrupted PPG signals [59].”
TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise (2014, methodology): “Another technique is adaptive noise cancelation (ANC) [6], [7].”
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks (2019, background): “There exists a large amount of work relying on different (adaptive) ﬁltering methods [9,10] or separating the heart rate component from the motion artefact and other noise components within the time-series [11,12].”