| Paper Abstract and Keywords |
| Presentation |
2026-02-17 12:10
Development of fNIRS signal analysis techniques for predictive functional rehabilitation.
Kei Hosaka, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This study aimed to develop a predictive functional rehabilitation framework (rehabilitation system) for patients with higher brain dysfunction. As a foundational step, we sought to establish evaluation and analysis methods using only healthy participants. We conducted an experimental task consisting of two phases: a situation-understanding phase and a next-state-prediction phase. Brain activity during the task was measured using functional near-infrared spectroscopy (fNIRS), a noninvasive technique that imposes minimal physical constraints. Preprocessing, including hemodynamic signal separation and band-pass filtering, was applied to the acquired fNIRS signals, followed by machine learning and statistical analyses. The results confirmed differences in brain activity between the phases using both analysis methods and demonstrated that changes in brain states associated with prediction could be captured using fNIRS signal analysis. These findings indicate that the experimental task used in this study appropriately elicited predictive function and demonstrated the effectiveness of the applied analysis and classification techniques. This suggests the feasibility of a predictive functional rehabilitation system for patients with higher brain dysfunction. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Predictive function / Neurorehabilitation / fNIRS / Machine learning / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, no. 4, HI2026-6, pp. 27-31, Feb. 2026. |
| Paper # |
HI2026-6 |
| Date of Issue |
2026-02-10 (HI) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-HIP HI VRPSY ASJ-H |
| Conference Date |
2026-02-17 - 2026-02-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HI |
| Conference Code |
2026-02-HIP-HI-VRPSY-H |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Development of fNIRS signal analysis techniques for predictive functional rehabilitation. |
| Sub Title (in English) |
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| Keyword(1) |
Predictive function |
| Keyword(2) |
Neurorehabilitation |
| Keyword(3) |
fNIRS |
| Keyword(4) |
Machine learning |
| Keyword(5) |
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| 1st Author's Name |
Kei Hosaka |
| 1st Author's Affiliation |
Kindai University (Kindai Univ.) |
| 2nd Author's Name |
Hisashi Yoshida |
| 2nd Author's Affiliation |
Kindai University (Kindai Univ.) |
| 3rd Author's Name |
Takeshi Kohama |
| 3rd Author's Affiliation |
Kindai University (Kindai Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-02-17 12:10:00 |
| Presentation Time |
20 minutes |
| Registration for |
HI |
| Paper # |
HI2026-6 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.4 |
| Page |
pp.27-31 |
| #Pages |
5 |
| Date of Issue |
2026-02-10 (HI) |