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An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection., , , , , и . IEEE Trans. Very Large Scale Integr. Syst., 32 (4): 763-773 (апреля 2024)FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms., , , , , и . FPL, стр. 366. IEEE, (2023)Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset., , , , , и . IWOCL, стр. 29:1. ACM, (2023)An FPGA-based, multi-channel, real-time, motion artifact detection technique for fNIRS/DOT systems., , , , и . ISCAS, стр. 1-5. IEEE, (2024)An implantable optrode with Self-diagnostic function in 0.35µm CMOS for optical neural stimulation., , и . BioCAS, стр. 244-247. IEEE, (2014)Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation., , , , , , , и . IEEE J. Biomed. Health Informatics, 28 (9): 5613-5623 (сентября 2024)On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation., , , , , , , , , и 2 other автор(ы). IEEE Trans. Biomed. Circuits Syst., 12 (3): 576-588 (2018)An 8100 pixel optoelectronic array for optogenetic retinal prosthesis., , , , , и . BioCAS, стр. 352-355. IEEE, (2014)A CMOS-based neural implantable optrode for optogenetic stimulation and electrical recording., , , , , , и . BioCAS, стр. 1-4. IEEE, (2015)Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study., , , , и . EMBC, стр. 1-5. IEEE, (2024)