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Published in: Cognitive Neurodynamics 6/2022

10-04-2022 | Research Article

BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study

Authors: Zhengzhe Cui, Yongqiang Li, Sisi Huang, Xixi Wu, Xiangxiang Fu, Fei Liu, Xiaojiao Wan, Xue Wang, Yuting Zhang, Huaide Qiu, Fang Chen, Peijin Yang, Shiqiang Zhu, Jianan Li, Weidong Chen

Published in: Cognitive Neurodynamics | Issue 6/2022

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Abstract

In the recent years, the increasing applications of brain–computer interface (BCI) in rehabilitation programs have enhanced the chances of functional recovery for patients with neurological disorders. We presented and validated a BCI system with a lower-limb robot for short-term training of patients with spinal cord injury (SCI). The cores of this system included: (1) electroencephalogram (EEG) features related to motor intention reported through experiments and used to drive the robot; (2) a decision tree to determine the training mode provided for patients with different degrees of injuries. Seven SCI patients (one American Spinal Injury Association Impairment Scale (AIS) A, three AIS B, and three AIS C) participated in the short-term training with this system. All patients could learn to use the system rapidly and maintained a high intensity during the training program. The strength of the lower limb key muscles of the patients was improved. Four AIS A/B patients were elevated to AIS C. The cumulative results indicate that clinical application of the BCI system with lower-limb robot is feasible and safe, and has potentially positive effects on SCI patients.

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Appendix
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Metadata
Title
BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study
Authors
Zhengzhe Cui
Yongqiang Li
Sisi Huang
Xixi Wu
Xiangxiang Fu
Fei Liu
Xiaojiao Wan
Xue Wang
Yuting Zhang
Huaide Qiu
Fang Chen
Peijin Yang
Shiqiang Zhu
Jianan Li
Weidong Chen
Publication date
10-04-2022
Publisher
Springer Netherlands
Published in
Cognitive Neurodynamics / Issue 6/2022
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-022-09801-6

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