机构:[1]School of Automation Science and Electrical Engineering Beihang University, Beijing 100191, China[2]School of Mechanical Engineering and Automation Beihang University, Beijing 100191, China[3]Beijing Neurosurgical Institute Beijing Tiantan Hospital, Beijing 100050, China研究所北京市神经外科研究所首都医科大学附属天坛医院
出处:
ISSN:
摘要:
MRCPs (movement related cortical potentials) are slow negative potentials observed in EEG preceding movement, which represents the processing of the cerebral cortex during planning and preparation. Clinical studies have shown that, rehabilitation therapy with the active participation of the central nervous system can rebuild related nerve function and restore the patient's neural plasticity. Characterizing the intention to move by means of electroencephalographic activity can be used in rehabilitation protocols with patients cortical activity taking an active role during the intervention. We describe our method framework including protocol, data processing and pattern recognition. Then the experimental results are analyzed. The tests were carried out with healthy people and achieved satisfactory performance both in trial and asynchronous detection. Our purpose is to apply to restoration of neural pathway of patients.
基金:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [51675018, 61773042]; National Key R&D Program of China [2016YFE0105000]
语种:
外文
被引次数:
WOS:
第一作者:
第一作者机构:[1]School of Automation Science and Electrical Engineering Beihang University, Beijing 100191, China
推荐引用方式(GB/T 7714):
Zhang Jing,Chen Weihai,Zhang Jianbin,et al.Detection of self-paced reaching movement intention from EEG signals[J].PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018).2018,1820-1824.
APA:
Zhang, Jing,Chen, Weihai,Zhang Jianbin&Meng, Fangang.(2018).Detection of self-paced reaching movement intention from EEG signals.PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018),,
MLA:
Zhang, Jing,et al."Detection of self-paced reaching movement intention from EEG signals".PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) .(2018):1820-1824