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Ruisen Huang

Showing results (1-10 of 8) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Decoupling brain activations of muscle-caused activations and mental intention-cause activations using the general linear model: A functional near-infrared spectroscopy studyRuisen Huang, Fei Gao
Frontiers in Human Neuroscience|January 25, 2021
Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy StudyKunqiang Qing, Ruisen Huang, Keum-Shik Hong
Frontiers in Neuroscience|October 20, 2022
Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A reviewRuisen Huang, Keum-Shik Hong, Dalin Yang, et al.
Frontiers in Neuroscience|August 21, 2024
Real-time motion artifact suppression using convolution neural networks with penalty in fNIRSRuisen Huang, Keum-Shik Hong, Shi-Chun Bao, et al.
Scientific Reports|February 5, 2026
An upper-limb teleoperation exoskeleton with stepless arm-length parameterization and adaptive force-triggered impedance blendingPuyi Zeng, Yuqin Xu, Shaobin Zheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Interplay between cerebral and muscular activations during motor tasks: An fNIRS-sEMG studyRuisen Huang, Wenze Shang, Yongji Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Characterizing sEMG changes with muscle fatigue for lower-extremity prostheses and exoskeletons controlWenze Shang, Ruisen Huang, Yongji Lin, et al.
Frontiers in Aging Neuroscience|June 9, 2020
Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared SpectroscopyDalin Yang, Ruisen Huang, So-Hyeon Yoo, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Decoupling brain activations of muscle-caused activations and mental intention-cause activations using the general linear model: A functional near-infrared spectroscopy studyRuisen Huang, Fei Gao
Frontiers in Human Neuroscience|January 25, 2021
Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy StudyKunqiang Qing, Ruisen Huang, Keum-Shik Hong
Frontiers in Neuroscience|October 20, 2022
Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A reviewRuisen Huang, Keum-Shik Hong, Dalin Yang, et al.
Frontiers in Neuroscience|August 21, 2024
Real-time motion artifact suppression using convolution neural networks with penalty in fNIRSRuisen Huang, Keum-Shik Hong, Shi-Chun Bao, et al.
Scientific Reports|February 5, 2026
An upper-limb teleoperation exoskeleton with stepless arm-length parameterization and adaptive force-triggered impedance blendingPuyi Zeng, Yuqin Xu, Shaobin Zheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Interplay between cerebral and muscular activations during motor tasks: An fNIRS-sEMG studyRuisen Huang, Wenze Shang, Yongji Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Characterizing sEMG changes with muscle fatigue for lower-extremity prostheses and exoskeletons controlWenze Shang, Ruisen Huang, Yongji Lin, et al.
Frontiers in Aging Neuroscience|June 9, 2020
Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared SpectroscopyDalin Yang, Ruisen Huang, So-Hyeon Yoo, et al.
Pageof 1