Robotic neurorehabilitation system design for stroke patients
In this article, a neurorehabilitation system combining robot-aided rehabilitation with motor imagery–based brain–computer interface is presented. Feature extraction and classification algorithm for the motor imagery electroencephalography is implemented under our brain–computer interface research p...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2015-03-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814015573768 |
| _version_ | 1811328116543455232 |
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| author | Baoguo Xu Aiguo Song Guopu Zhao Guozheng Xu Lizheng Pan Renhuan Yang Huijun Li Jianwei Cui Hong Zeng |
| author_facet | Baoguo Xu Aiguo Song Guopu Zhao Guozheng Xu Lizheng Pan Renhuan Yang Huijun Li Jianwei Cui Hong Zeng |
| author_sort | Baoguo Xu |
| collection | DOAJ |
| description | In this article, a neurorehabilitation system combining robot-aided rehabilitation with motor imagery–based brain–computer interface is presented. Feature extraction and classification algorithm for the motor imagery electroencephalography is implemented under our brain–computer interface research platform. The main hardware platform for functional recovery therapy is the Barrett Whole-Arm Manipulator. The mental imagination of upper limb movements is translated to trigger the Barrett Whole-Arm Manipulator Arm to stretch the affected upper limb to move along the predefined trajectory. A fuzzy proportional–derivative position controller is proposed to control the Whole-Arm Manipulator Arm to perform passive rehabilitation training effectively. A preliminary experiment aimed at testing the proposed system and gaining insight into the potential of motor imagery electroencephalography-triggered robotic therapy is reported. |
| first_indexed | 2024-04-13T15:19:30Z |
| format | Article |
| id | doaj.art-ec5e8feef0c44fd69d35c6cf494f58cd |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-13T15:19:30Z |
| publishDate | 2015-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-ec5e8feef0c44fd69d35c6cf494f58cd2022-12-22T02:41:43ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402015-03-01710.1177/168781401557376810.1177_1687814015573768Robotic neurorehabilitation system design for stroke patientsBaoguo XuAiguo SongGuopu ZhaoGuozheng XuLizheng PanRenhuan YangHuijun LiJianwei CuiHong ZengIn this article, a neurorehabilitation system combining robot-aided rehabilitation with motor imagery–based brain–computer interface is presented. Feature extraction and classification algorithm for the motor imagery electroencephalography is implemented under our brain–computer interface research platform. The main hardware platform for functional recovery therapy is the Barrett Whole-Arm Manipulator. The mental imagination of upper limb movements is translated to trigger the Barrett Whole-Arm Manipulator Arm to stretch the affected upper limb to move along the predefined trajectory. A fuzzy proportional–derivative position controller is proposed to control the Whole-Arm Manipulator Arm to perform passive rehabilitation training effectively. A preliminary experiment aimed at testing the proposed system and gaining insight into the potential of motor imagery electroencephalography-triggered robotic therapy is reported.https://doi.org/10.1177/1687814015573768 |
| spellingShingle | Baoguo Xu Aiguo Song Guopu Zhao Guozheng Xu Lizheng Pan Renhuan Yang Huijun Li Jianwei Cui Hong Zeng Robotic neurorehabilitation system design for stroke patients Advances in Mechanical Engineering |
| title | Robotic neurorehabilitation system design for stroke patients |
| title_full | Robotic neurorehabilitation system design for stroke patients |
| title_fullStr | Robotic neurorehabilitation system design for stroke patients |
| title_full_unstemmed | Robotic neurorehabilitation system design for stroke patients |
| title_short | Robotic neurorehabilitation system design for stroke patients |
| title_sort | robotic neurorehabilitation system design for stroke patients |
| url | https://doi.org/10.1177/1687814015573768 |
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