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| 基于EEG EMG信号解码的脑机自然交互关键技术研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2021
Authors: 褚亚奇
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人机交互 脑机接口 非完整脑电 同侧肢体多类运动想象 混合脑/肌电 |
| Fine-grained and multi-scale motif features for cross-subject mental workload assessment using bi-lstm 期刊论文
Journal of Mechanics in Medicine and Biology, 2021, 卷号: 21, 期号: 5, 页码: 1-14
Authors: Shao SL(邵士亮); Wang T(王挺); Song CH(宋纯贺); Su Y(苏赟); Wang YL(王勇亮); Yao C(姚辰)
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Mental workload electroencephalogram (EEG) motif structure cross-subject Bi-LSTM |
| 基于运动想象的脑机接口及其应用研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors: 邹宜君
Adobe PDF(3261Kb) | Favorite | View/Download：160/24 | Submit date：2019/12/12
脑机接口 脑电信号 独立成分分析 共空间模式滤波 |
| 一种多模态脑电和近红外光谱联合采集头盔设计及实验研究 期刊论文
生物医学工程学杂志, 2018, 卷号: 35, 期号: 2, 页码: 290-296
Authors: 熊馨; 伏云发; 张夏冰; 李松; 徐保磊; 尹旭贤
Adobe PDF(2091Kb) | Favorite | View/Download：232/16 | Submit date：2018/06/17
多模态 脑电-近红外光谱头盔 脑电 近红外光谱 脑—机接口 |
| A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network 期刊论文
FRONTIERS IN NEUROSCIENCE, 2018, 卷号: 12, 页码: 1-17
Authors: Chu YQ(褚亚奇); Zhao XG(赵新刚); Zou YJ(邹宜君); Xu WL(徐卫良); Han JD(韩建达); Zhao YW(赵忆文)
Adobe PDF(3629Kb) | Favorite | View/Download：263/59 | Submit date：2018/10/22
brain-computer interface decoding scheme incomplete motor imagery EEG power spectral density deep belief network |
| Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 卷号: 25, 期号: 9, 页码: 1641-1652
Authors: Fu YF(伏云发); Xiong X(熊鑫); Jiang ZH(蒋长好); Xu BL(徐保磊); Li YC(李永程); Li HY(李洪谊)
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Brain-computer Interface Electroen-cephalogram (Eeg) Imagined Force And Speed Of hAnd Clenching Near Infrared Spectroscopy (Nirs) Nirs-eeg |
| NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI 期刊论文
Medical Engineering and Physics, 2015, 卷号: 37, 期号: 3, 页码: 280-286
Authors: Yin XX(尹旭贤); Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东); Li HY(李洪谊); Shi G(石刚)
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Brain-computer Interface(Bci) Near-infrared Spectroscopy(Nirs) Empirical Mode Decomposition(Emd) Joint Mutual Information(Jmi) |
| A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2015, 卷号: 12, 期号: 3
Authors: Yin XX(尹旭贤); Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东); Li HY(李洪谊); Shi G(石刚)
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Eeg-fnirs HAnd Clenching Force And Speed Motor Imagery Joint Mutual Information (Jmi) Extreme Learning Machines (Elms) |
| Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface 期刊论文
JOURNAL OF MEDICAL SYSTEMS, 2015, 卷号: 39, 期号: 5, 页码: 1-8
Authors: Yin XX(尹旭贤); Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东); Li HY(李洪谊); Shi G(石刚)
Adobe PDF(844Kb) | Favorite | View/Download：376/68 | Submit date：2015/07/05
Functional Near-infrared Spectroscopy (Fnirs) Brain-computer Interface (Bci) Joint Mutual Information (Jmi) Extreme Learning Machine (Elm) Force/speed Imagery |
| Development of one-channel fNIRS system and physiological noise reduction in brain hemodynamic responses 会议论文
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, Zhuhai, China, December 6-9, 2015
Authors: Yin XX(尹旭贤); Shi G(石刚); Wang ZD(王志东); Li HY(李洪谊)
Adobe PDF(674Kb) | Favorite | View/Download：232/57 | Submit date：2016/05/23 |
