| Presentation | 2013-08-30 Yes/No Communication Method for ALS Patients Using Their Biosignals : A Comparative Study Between Discriminant Analysis Method and Support Vector Machine Kuniaki OZAWA, Junko SENGOKU, Masayoshi NAITO, Isamu OGATA, Tsuneo KANAZAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An Yes/No communication method is studied for ALS(Amyotrophic Lateral Sclerosis) patients who are unable to move their bodies. The method uses cerebral blood volume changes measured with near-infrared light. While Yes/No answers have been so far judged by a discriminant analysis (DA) that classifies blood volume waves into Yes/No groups, we propose in this report the use of SVM (support Vector Machine) to improve accuracy rates. We judged the waves of 17 subjects (11 healthy subjects and 6 ALS patients) for three tasks by DA and SVM. The result has shown that SVM has higher accuracy rate than DA with 5% significant level under the variables of oscillation number of blood volume change and that of heart rate. The following tasks for Yes/No have shown the significant difference; "12- second- activation and 12- second -rest" for Yes task and "24 -second -rest" and "3 times repetition of 4- second- activation and 4- second- rest" for No tasks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ALS / communication / Yes/No answers / near- infrared light / cerebral blood volume / discriminant analysis / support vector machine |
| Paper # | WIT2013-35 |
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| Committee | WIT |
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| Conference Date | 2013/8/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Well-being Information Technology(WIT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Yes/No Communication Method for ALS Patients Using Their Biosignals : A Comparative Study Between Discriminant Analysis Method and Support Vector Machine |
| Sub Title (in English) | |
| Keyword(1) | ALS |
| Keyword(2) | communication |
| Keyword(3) | Yes/No answers |
| Keyword(4) | near- infrared light |
| Keyword(5) | cerebral blood volume |
| Keyword(6) | discriminant analysis |
| Keyword(7) | support vector machine |
| 1st Author's Name | Kuniaki OZAWA |
| 1st Author's Affiliation | Division of Mathematical Sciences, Tokyo Woman's Christian University() |
| 2nd Author's Name | Junko SENGOKU |
| 2nd Author's Affiliation | Division of Mathematical Sciences, Tokyo Woman's Christian University |
| 3rd Author's Name | Masayoshi NAITO |
| 3rd Author's Affiliation | Division of Mathematical Sciences, Tokyo Woman's Christian University |
| 4th Author's Name | Isamu OGATA |
| 4th Author's Affiliation | Excel of Mechatronix, Co. |
| 5th Author's Name | Tsuneo KANAZAWA |
| 5th Author's Affiliation | Excel of Mechatronix, Co. |
| Date | 2013-08-30 |
| Paper # | WIT2013-35 |
| Volume (vol) | vol.113 |
| Number (no) | 195 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |