| Presentation | 2006-01-28 Classification of ataxia using a self-organazing neural network model Tsuyoshi YAMAGUCHI, Tomohiko IGASAKI, Yuuki HAYASHIDA, Nobuki MURAYAMA, Kikuo YAMAGUCHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In clinical examination of ataxia, method of the quantitative analysis has been least established, and thus we have previously developed a computerized system for measuring and evaluating the upper-limb movement function. Based on parameter values measured by using this system, we could find the statistically significant differences between normal subjects and the patients suffering from the Parkinson's disease (PD) or the spinocerebeller degeneration (SCD), and subsequently, we developed a hybrid artificial neural network (HNN) model [consisting of a self-organizing map (SOM) followed by a backpropagation neural network (BNN)] which can automatically discriminate between the normal subjects and either the PD or SCD patients. In the present study, a two-dimensional SOM and a three-dimensional SOM was constructed by the learning simultaneously the three parameter sets from normal subjects, PD patients, SCD patients. The structures of those SOMs suggested a hightly variable nature of ataxia even within PD or SCD patients. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Parkinson's disease / Spino-cerebellar degeneration / movement functional disorder of the upper limbs / Hybrid Neural Network / quantity evaluation |
| Paper # | MBE2005-120 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2006/1/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of ataxia using a self-organazing neural network model |
| Sub Title (in English) | |
| Keyword(1) | Parkinson's disease |
| Keyword(2) | Spino-cerebellar degeneration |
| Keyword(3) | movement functional disorder of the upper limbs |
| Keyword(4) | Hybrid Neural Network |
| Keyword(5) | quantity evaluation |
| 1st Author's Name | Tsuyoshi YAMAGUCHI |
| 1st Author's Affiliation | Kumamoto University Graduate School() |
| 2nd Author's Name | Tomohiko IGASAKI |
| 2nd Author's Affiliation | Kumamoto University |
| 3rd Author's Name | Yuuki HAYASHIDA |
| 3rd Author's Affiliation | Kumamoto University |
| 4th Author's Name | Nobuki MURAYAMA |
| 4th Author's Affiliation | Kumamoto University Graduate School:Kumamoto University |
| 5th Author's Name | Kikuo YAMAGUCHI |
| 5th Author's Affiliation | Kumamoto Saishunsou Hospital |
| Date | 2006-01-28 |
| Paper # | MBE2005-120 |
| Volume (vol) | vol.105 |
| Number (no) | 578 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |