2011 Fiscal Year Final Research Report
Basic research on the development of the locomotive rehabilitation system using a BMI wheel chair
| Project/Area Number |
20246045
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | The University of Tokyo |
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Principal Investigator |
MABUCHI Kunihiko 東京大学, 大学院・情報理工学系研究科, 教授 (50192349)
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| Co-Investigator(Kenkyū-buntansha) |
FUKAYAMA Osamu 東京大学, 大学院・情報理工学系研究科, 助教 (30508205)
ARAKI Nozomu 兵庫県立大学, 大学院・工学研究科, 助教 (10453151)
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| Co-Investigator(Renkei-kenkyūsha) |
SUZUKI Takafumi 東京大学, 大学院・情報理工学系研究科, 講師 (50302659)
SAITO Harukazu 国立病院機構村山医療センター, 整形外科, 医長 (80276295)
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| Project Period (FY) |
2008 – 2011
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| Keywords | 人間機械システム / リハビリテーション / ブレイン・マシン・インタフェース / 車椅子 / 固有感覚・運動感覚 |
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| Research Abstract |
A prototype pedaled wheelchair/ergometer system has been designed and developed for leg paralysis patients as part of the development of a rehabilitation system based on a brain-machine interface(BMI) for patient with motor paralysis. The wheelchair/ergometer system consists of a customized pedal driven wheelchair/ergometer and a BMI algorithm that detects the patient's intention. The patient's desire to move his(or her) legs is recognized from electroencephalography using CSD estimation and a SVM classifier. These recognition results are used for autonomous driving of the wheelchair/ergometer. The patient's feet are fixed to the pedals so that they move with the wheel rotation. Preliminary testing using this prototype system by an unimpaired subject showed that the discrimination accuracy between' pedaling state' and' resting state' was over 80% even in real-time operation.
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Research Products
(23 results)
