TY - GEN
T1 - Effectiveness of action observed for sports function rehabilitation based on mirror neuron
AU - Wang, Baozeng
AU - Zhang, Jinhua
AU - Wang, Chen
AU - Hong, Jun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/21
Y1 - 2016/10/21
N2 - To enhance the rehabilitation efficacy of action observation therapy underlying recovery of motor function after stroke, the influence of law on the excitability of the mirror neuron which is activated by the external motion stimulus is analyzed deeply from a mass of action observed experiments. Firstly, after designing motion sequences of a human upper limb and a manipulator to activate the human brain mirror neuron, subjects separately perform different types of movements in the process of electroencephalographic (EEG) acquisition. Secondly, the EEG signals were preprocessed to remove artifacts and eliminate noise, and then the processed EEG signals were reconstructed using the wavelet packet decomposition. Finally, the effectiveness of different types of movements is calculated and analyzed based on the mu suppression index which is obtained by the power spectrums of task state and rest state. The experimental results show that whether a human upper limb or a manipulator, the action sequences of having target, movement and no sound might be more effective activation than those which are no target, still and sound, and the manipulator motion sequences are stronger activation mirror neuron than the ones of human upper limb. So the action sequences with having target, movement and no sound may stronger activated the human brain mirror neuron. So this finding provides an effectively and quickly method to select out the movement sequences for different patients with action observation therapy, it maybe have significant clinical application value in sports function rehabilitation.
AB - To enhance the rehabilitation efficacy of action observation therapy underlying recovery of motor function after stroke, the influence of law on the excitability of the mirror neuron which is activated by the external motion stimulus is analyzed deeply from a mass of action observed experiments. Firstly, after designing motion sequences of a human upper limb and a manipulator to activate the human brain mirror neuron, subjects separately perform different types of movements in the process of electroencephalographic (EEG) acquisition. Secondly, the EEG signals were preprocessed to remove artifacts and eliminate noise, and then the processed EEG signals were reconstructed using the wavelet packet decomposition. Finally, the effectiveness of different types of movements is calculated and analyzed based on the mu suppression index which is obtained by the power spectrums of task state and rest state. The experimental results show that whether a human upper limb or a manipulator, the action sequences of having target, movement and no sound might be more effective activation than those which are no target, still and sound, and the manipulator motion sequences are stronger activation mirror neuron than the ones of human upper limb. So the action sequences with having target, movement and no sound may stronger activated the human brain mirror neuron. So this finding provides an effectively and quickly method to select out the movement sequences for different patients with action observation therapy, it maybe have significant clinical application value in sports function rehabilitation.
KW - Action observed
KW - Mirror neuron
KW - Movement sequence
KW - Mu suppression index
UR - https://www.scopus.com/pages/publications/85000399437
U2 - 10.1109/URAI.2016.7734056
DO - 10.1109/URAI.2016.7734056
M3 - 会议稿件
AN - SCOPUS:85000399437
T3 - 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
SP - 338
EP - 341
BT - 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Y2 - 19 August 2016 through 22 August 2016
ER -