| Project/Area Number |
22300188
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Osaka University |
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Principal Investigator |
MIYOSHI Tomomitsu 大阪大学, 医学(系)研究科(研究院), 助教 (70314309)
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| Co-Investigator(Kenkyū-buntansha) |
SAWAI Hajime 大阪大学, 医学系研究科, 准教授 (20202103)
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| Co-Investigator(Renkei-kenkyūsha) |
TAMURA Shinichi 大阪大学, 名誉教授 (30029540)
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| Project Period (FY) |
2010-04-01 – 2013-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2012: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2010: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000)
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| Keywords | 人工感覚器 / 人工網膜 / 電気刺激 / 機械学習 / 誘発電位 / 生理学 / 神経科学 / 機能評価 / リハビリテーション |
|---|
| Research Abstract |
Evaluation of the cortical response evoked by retinal electrical stimulation is important to understand the information by prosthetic input to brain. However, previous studies analyzed cortical response mainly with field response or multi-unit response in relation to the visual topological map. In this study, electrophysiological response to retinal stimulation was recorded from the cat cerebral cortex and analyzed with mathematical methods. As the results, we were able to predict the stimulating retinal electrode from electrocorticogram dataset evoked by retinal stimulation with machine learning method. The accuracy of prediction may be improved by refinement of dataset preparation and increase of training dataset, although it was not so remarkable at this moment. This accuracy of prediction may be useful to evaluate electrodes and stimulating parameters of retinal prosthesis.
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