Presentation | 2020-12-18 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, Takuyuki Endo, Saburo Sakoda, Taishin Nomura, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Postural control / Intermittent control / Data assimilation / Approximate Bayesian Computation based on Sequential Monte Carlo / Parkinson’s disease |
Paper # | MBE2020-25 |
Date of Issue | 2020-12-11 (MBE) |
Conference Information | |
Committee | MBE / NC |
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Conference Date | 2020/12/18(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Takashi Watanabe(Tohoku Univ.) / Kazuyuki Samejima(Tamagawa Univ) |
Vice Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
Secretary | Ryuhei Okuno(Akita-noken) / Rieko Osu(NTT) |
Assistant | Akihiro Karashima(Tohoku Inst. of Tech.) / Jun Akazawa(Meiji Univ. of Integrative Medicine) / Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) |
Paper Information | |
Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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Language | JPN |
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 |
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.) |
Date | 2020-12-18 |
Paper # | MBE2020-25 |
Volume (vol) | vol.120 |
Number (no) | MBE-301 |
Page | pp.pp.25-30(MBE), |
#Pages | 6 |
Date of Issue | 2020-12-11 (MBE) |