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Brain-controlled cycling system for rehabilitation following paraplegia with delay-time prediction 10781700 中谷, 真太朗 ナカタニ, シンタロウ Nakatani, Shintaro Araki, Nozomu Hoshino, Takayuki Fukayama, Osamu Mabuchi, Kunihiko (C) 2021 IOP Publishing Ltd brain-machine interface event related desynchronization ergometer self-agency brain-machine interface event related desynchronization ergometer self-agency Objective: Robotic rehabilitation systems have been investigated to assist with motor dysfunction recovery in patients with lower-extremity paralysis caused by central nervous system lesions. These systems are intended to provide appropriate sensory feedback associated with locomotion. Appropriate feedback is thought to cause synchronous neuron firing, resulting in the recovery of function. Approach: In this study, we designed and evaluated an ergometric cycling wheelchair, with a brain-machine interface (BMI), that can force the legs to move by including normal stepping speeds and quick responses. Experiments were conducted in five healthy subjects and one patient with spinal cord injury (SCI), who experienced the complete paralysis of the lower limbs. Event-related desynchronization (ERD) in the β band (18‐28 Hz) was used to detect lower-limb motor images. Main results: An ergometer-based BMI system was able to safely and easily force patients to perform leg movements, at a rate of approximately 1.6 seconds/step (19 rpm), with an online accuracy rate of 73.1% for the SCI participant. Mean detection time from the cue to pedaling onset was 0.83±0.31 s Significance: This system can easily and safely maintain a normal walking speed during the experiment and be designed to accommodate the expected delay between the intentional onset and physical movement, to achieve rehabilitation effects for each participant. Similar BMI systems, implemented with rehabilitation systems, may be applicable to a wide range of patients. IOP Publishing 2021-02 eng journal article AM https://repository.lib.tottori-u.ac.jp/records/7267 10.1088/1741-2552/abd1bf Nakatani Shintaro, Araki Nozomu, Hoshino Takayuki, et al. Brain-controlled cycling system for rehabilitation following paraplegia with delay-time prediction. JOURNAL OF NEURAL ENGINEERING. 2021. 18(1). doi:10.1088/1741-2552/abd1bf https://iopscience.iop.org/article/10.1088/1741-2552/abd1bf https://iopscience.iop.org/article/10.1088/1741-2552/abd1bf 17412560 JOURNAL OF NEURAL ENGINEERING JOURNAL OF NEURAL ENGINEERING 18 1 https://repository.lib.tottori-u.ac.jp/record/7267/files/jne18(1)_abd1bf.pdf application/pdf 1.8 MB 2023-03-17