Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury
Brain-controlled wheelchairs are one of the most promising applications that can help people gain mobility after their normal interaction pathways have been compromised by neuromuscular diseases. The feasibility of using brain signals to control wheelchairs has been well demonstrated by healthy peop...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9730931/ |
| _version_ | 1797805200352739328 |
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| author | Xin Chen Yang Yu Jingsheng Tang Liang Zhou Kaixuan Liu Ziyuan Liu Siming Chen Jian Wang Ling-Li Zeng Jinfang Liu Dewen Hu |
| author_facet | Xin Chen Yang Yu Jingsheng Tang Liang Zhou Kaixuan Liu Ziyuan Liu Siming Chen Jian Wang Ling-Li Zeng Jinfang Liu Dewen Hu |
| author_sort | Xin Chen |
| collection | DOAJ |
| description | Brain-controlled wheelchairs are one of the most promising applications that can help people gain mobility after their normal interaction pathways have been compromised by neuromuscular diseases. The feasibility of using brain signals to control wheelchairs has been well demonstrated by healthy people in previous studies. However, most potential users of brain-controlled wheelchairs are people suffering from severe physical disabilities or who are in a “locked-in” state. To further validate the clinical practicability of our previously proposed P300-based brain-controlled wheelchair, in this study, 10 subjects with severe spinal cord injuries participated in three experiments and completed ten predefined tasks in each experiment. The average accuracy and information transfer rate (ITR) were 94.8% and 4.2 bits/min, respectively. Moreover, we evaluated the physiological and cognitive burdens experienced by these individuals before and after the experiments. There were no significant changes in vital signs during the experiment, indicating minimal physiological and cognitive burden. The patients’ average systolic blood pressure before and after the experiment was 113±13.7 mmHg and 114±11.9 mmHg, respectively (P = 0.122). The patients’ average heart rates before and after the experiment were 79±8.4/min and 79±8.2/min, respectively (P = 0.147). The average task load, measured by the National Aeronautics and Space Administration task load index, ranged from 10.0 to 25.5. The results suggest that the proposed P300-based brain-controlled wheelchair is safe and reliable; additionally, it does not significantly increase the patient’s physical and mental task burden, demonstrating its potential value in clinical applications. Our study promotes the development of a more practical brain-controlled wheelchair system. |
| first_indexed | 2024-03-13T05:47:27Z |
| format | Article |
| id | doaj.art-0e50657a6525433fb073fadfae444727 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-13T05:47:27Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-0e50657a6525433fb073fadfae4447272023-06-13T20:06:21ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102022-01-013057958910.1109/TNSRE.2022.31566619730931Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord InjuryXin Chen0https://orcid.org/0000-0002-0672-0207Yang Yu1https://orcid.org/0000-0002-8967-0427Jingsheng Tang2Liang Zhou3Kaixuan Liu4https://orcid.org/0000-0003-1207-3621Ziyuan Liu5https://orcid.org/0000-0001-7176-3716Siming Chen6Jian Wang7Ling-Li Zeng8https://orcid.org/0000-0002-0515-256XJinfang Liu9https://orcid.org/0000-0001-6986-1173Dewen Hu10https://orcid.org/0000-0001-7357-0053Department of Neurosurgery, National Clinical Medical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaDepartment of Neurosurgery, National Clinical Medical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, ChinaBrain-controlled wheelchairs are one of the most promising applications that can help people gain mobility after their normal interaction pathways have been compromised by neuromuscular diseases. The feasibility of using brain signals to control wheelchairs has been well demonstrated by healthy people in previous studies. However, most potential users of brain-controlled wheelchairs are people suffering from severe physical disabilities or who are in a “locked-in” state. To further validate the clinical practicability of our previously proposed P300-based brain-controlled wheelchair, in this study, 10 subjects with severe spinal cord injuries participated in three experiments and completed ten predefined tasks in each experiment. The average accuracy and information transfer rate (ITR) were 94.8% and 4.2 bits/min, respectively. Moreover, we evaluated the physiological and cognitive burdens experienced by these individuals before and after the experiments. There were no significant changes in vital signs during the experiment, indicating minimal physiological and cognitive burden. The patients’ average systolic blood pressure before and after the experiment was 113±13.7 mmHg and 114±11.9 mmHg, respectively (P = 0.122). The patients’ average heart rates before and after the experiment were 79±8.4/min and 79±8.2/min, respectively (P = 0.147). The average task load, measured by the National Aeronautics and Space Administration task load index, ranged from 10.0 to 25.5. The results suggest that the proposed P300-based brain-controlled wheelchair is safe and reliable; additionally, it does not significantly increase the patient’s physical and mental task burden, demonstrating its potential value in clinical applications. Our study promotes the development of a more practical brain-controlled wheelchair system.https://ieeexplore.ieee.org/document/9730931/Brain computer interfacebrain-controlled wheelchaircognitive burdenP300 |
| spellingShingle | Xin Chen Yang Yu Jingsheng Tang Liang Zhou Kaixuan Liu Ziyuan Liu Siming Chen Jian Wang Ling-Li Zeng Jinfang Liu Dewen Hu Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury IEEE Transactions on Neural Systems and Rehabilitation Engineering Brain computer interface brain-controlled wheelchair cognitive burden P300 |
| title | Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury |
| title_full | Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury |
| title_fullStr | Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury |
| title_full_unstemmed | Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury |
| title_short | Clinical Validation of BCI-Controlled Wheelchairs in Subjects With Severe Spinal Cord Injury |
| title_sort | clinical validation of bci controlled wheelchairs in subjects with severe spinal cord injury |
| topic | Brain computer interface brain-controlled wheelchair cognitive burden P300 |
| url | https://ieeexplore.ieee.org/document/9730931/ |
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