Real-time Detection Method for Motion Artifact of Photoplethysmography Signals Based on Decision Trees by Linqi HU, Yulin ZHANG, Yongxin CHOU, Haiping YANG, Xiao HE

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Adaptive Estimation Algorithm for Photoplethysmographic Heart Rate Based on Finite State Machine by Ting Lan, Yanan Bie, Dong Hai, Jun Zhong

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Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction by Yogesh Gautam, Houtan Jebelli

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Computer Vision-Driven Movement Annotations to Advance fNIRS Pre-Processing Algorithms by Andrea Bizzego, Alessandro Carollo, Burak Senay, Seraphina Fong, Cesare Furlanello, Gianluca Esposito

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A New Self-Made 16-Channel Capacitive Electrocardiography System: An Investigation and Validation for Non-Contact Electrodes by Jinru Yang, Tianjun Wang, Haipo Cui, Limin Sun

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Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

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Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review by Erick Javier Argüello-Prada, Javier Ferney Castillo García

Subjects: “…motion artifacts…”
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Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking by Rabia Aziz, Jens Maebe, Florence Marie Muller, Yves D’Asseler, Stefaan Vandenberghe

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