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  2. 学術雑誌論文

Brain-controlled cycling system for rehabilitation following paraplegia with delay-time prediction

https://repository.lib.tottori-u.ac.jp/records/7267
https://repository.lib.tottori-u.ac.jp/records/7267
aa2fb997-8090-4e97-b188-e93ee5be056e
名前 / ファイル ライセンス アクション
jne18(1)_abd1bf.pdf jne18(1)_abd1bf.pdf (1.8 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2022-07-27
タイトル
タイトル Brain-controlled cycling system for rehabilitation following paraplegia with delay-time prediction
言語 en
言語
言語 eng
キーワード
主題 brain-machine interface
キーワード
主題 event related desynchronization
キーワード
主題 ergometer
キーワード
主題 self-agency
キーワード
言語 en
主題 brain-machine interface
キーワード
言語 en
主題 event related desynchronization
キーワード
言語 en
主題 ergometer
キーワード
言語 en
主題 self-agency
資源タイプ
資源タイプ journal article
著者 中谷, 真太朗

× 中谷, 真太朗

WEKO 4843
e-Rad 10781700
研究者総覧鳥取大学 100001650

中谷, 真太朗

ja-Kana ナカタニ, シンタロウ

en Nakatani, Shintaro

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Araki, Nozomu

× Araki, Nozomu

WEKO 26973

en Araki, Nozomu

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Hoshino, Takayuki

× Hoshino, Takayuki

WEKO 26974

en Hoshino, Takayuki

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Fukayama, Osamu

× Fukayama, Osamu

WEKO 26975

en Fukayama, Osamu

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Mabuchi, Kunihiko

× Mabuchi, Kunihiko

WEKO 26976

en Mabuchi, Kunihiko

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著者所属(英)
言語 en
値 Graduate School of Engineering, Tottori University
著者所属(英)
言語 en
値 Graduate School of Engineering, University of Hyogo
著者所属(英)
言語 en
値 Graduate School of Science and Technology, Hirosaki University
著者所属(英)
言語 en
値 Center for Information and Neural Networks, National Institute of Information and Communications Technology
著者所属(英)
言語 en
値 Graduate School of Information Science and Technology, The University of Tokyo
抄録
内容記述タイプ Other
内容記述 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.
書誌情報 JOURNAL OF NEURAL ENGINEERING
en : JOURNAL OF NEURAL ENGINEERING

巻 18, 号 1, 発行日 2021-02
出版者
出版者 IOP Publishing
ISSN
収録物識別子タイプ ISSN
収録物識別子 17412560
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1088/1741-2552/abd1bf
権利
権利情報 (C) 2021 IOP Publishing Ltd
情報源
関連名称 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
関連サイト
識別子タイプ URI
関連識別子 https://iopscience.iop.org/article/10.1088/1741-2552/abd1bf
関連名称 https://iopscience.iop.org/article/10.1088/1741-2552/abd1bf
著者版フラグ
出版タイプ AM
EISSN
値 17412552
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