Removal of Motion Artifacts From the PPG Signal Using Attentive Generative Adversarial Networks With Dual Discriminator

• Published in: IEEE transactions on instrumentation and measurement Vol. 74; pp. 1 - 10
• Main Authors: Sawangjai, Phattarapong, Seesawad, Narongrid, Wilaiprasitporn, Theerawit
• Format: Journal Article
• Language: English
• Published: New York IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Adaptive filters; Anesthesia; Biomedical monitoring; Feature extraction; Generative adversarial networks; Generative adversarial networks (GANs); generative photoplethysmography (PPG); Gyroscopes; Heart rate; Monitoring; motion artifact removal; Motion artifacts; Motion perception; Noise; Noise measurement; PPG signal; Signal quality; Smartwatches; Tracking devices; Waveforms

With the widespread integration of smartwatches and fitness trackers into daily life, photoplethysmography (PPG) signals have emerged as one of the most popular biosignals. However, motion artifacts often affect these signals, diminishing their practical applicability. This study proposes using gene...