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| Presentation | 2020-12-18 17:30 Parameter inference using Approximate Bayesian Computations for the intermittent control model on postural sway data: A comparison between healthy people and patients with Parkinson's disease Yasuyuki Suzuki, Akihiro Nakamura (Osaka Univ.), Takuyuki Endo, Saburo Sakoda (Osaka Toneyama Medical Center), Taishin Nomura (Osaka Univ.)  MBE2020-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Feedback control by the central nervous system is indispensable for stabilizing upright posture during quiet standing. We have been proposing a novel model of such postural control, which is referred to as the intermittent control model, as an alternative to the traditional continuous control model. In this study, we assimilated the intermittent control model into postural sway data obtained from young and elderly healthy individuals, as well as patients with Parkinson’s disease. Our result showed that postural sway patterns in healthy young people can be better explained by the intermittent control model, while those in patients with Parkinson’s disease by the traditional continuous control model. These results suggest that loss of the intermittency in the feedback control is one of the major causes of postural instability in patients with Parkinson’s disease. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Postural control / Intermittent control / Data assimilation / Approximate Bayesian Computation based on Sequential Monte Carlo / Parkinson’s disease / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 301, MBE2020-25, pp. 25-30, Dec. 2020. | |
| Paper # | MBE2020-25 | |
| Date of Issue | 2020-12-11 (MBE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MBE2020-25 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2020-12-18 - 2020-12-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2020-12-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Parameter inference using Approximate Bayesian Computations for the intermittent control model on postural sway data: A comparison between healthy people and patients with Parkinson's disease |
| Sub Title (in English) | |
| Keyword(1) | Postural control |
| Keyword(2) | Intermittent control |
| Keyword(3) | Data assimilation |
| Keyword(4) | Approximate Bayesian Computation based on Sequential Monte Carlo |
| Keyword(5) | Parkinson’s disease |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yasuyuki Suzuki |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Akihiro Nakamura |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Takuyuki Endo |
| 3rd Author's Affiliation | Osaka Toneyama Medical Center (Osaka Toneyama Medical Center) |
| 4th Author's Name | Saburo Sakoda |
| 4th Author's Affiliation | Osaka Toneyama Medical Center (Osaka Toneyama Medical Center) |
| 5th Author's Name | Taishin Nomura |
| 5th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-18 17:30:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2020-25 |
| Volume (vol) | vol.120 |
| Number (no) | no.301 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2020-12-11 (MBE) |
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