Presentation | 2022-01-23 Development of a gait phase detection algorithm for finite state control of functional electrical stimulation during walking Koshi Shibagaki, Suzufumi Arai, Matija Milosevic, Taishin Nomura, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Individuals with neurological conditions such as stroke often have difficulties to walk independently due to muscle paralysis and weakness resulting from hemiplegia. Functional electrical stimulation (FES) can be used in rehabilitation to restore and improve walking. Wearable inertial measurement unit (IMU) sensor can be used compute the information about the gait phase and control FES during walking. In this study, we developed a system that uses a wearable IMU sensors attached to the leg to measure lower limb kinematics in real-time during walking and based on this information control FES of lower-limb muscles. We focused on controlling multiple lower limb muscles during walking, and divided the gait cycle into functionally relevant phases. Specifically, the gait phases were based on the neuromuscular activity of these muscles during walking which was analyzed offline in a separate experiment. An algorithm for detection of transition points between gait phases, which was initially developed offline, was then tested in our current study. Analysis showed that a wearable IMU sensor can be used to reliably detect the gait phases during the walking cycle, confirming feasibility of this method for control of FES during walking. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | wearable / functional electrical stimulation / walking / rehabilitation |
Paper # | NC2021-39 |
Date of Issue | 2022-01-14 (NC) |
Conference Information | |
Committee | NLP / MICT / MBE / NC |
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Conference Date | 2022/1/21(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Takuji Kosaka(Chukyo Univ.) / Eisuke Hanada(Saga Univ.) / Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
Vice Chair | Akio Tsuneda(Kumamoto Univ.) / Hirokazu Tanaka(Hiroshima City Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
Secretary | Akio Tsuneda(Kagawa Univ.) / Hirokazu Tanaka(Sojo Univ.) / Daisuke Anzai(Yokohama National Univ.) / Junichi Hori(KISTEC) / Hiroshi Yamakawa(Osaka Electro-Communication Univ) |
Assistant | Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) / Takahiro Ito(Hiroshima City Univ) / Kento Takabayashi(Okayama Pref. Univ.) / Takuya Nishikawa(National Cerebral and Cardiovascular Center Hospital) / Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
Paper Information | |
Registration To | Technical Committee on Nonlinear Problems / Technical Committee on Healthcare and Medical Information Communication Technology / 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) | Development of a gait phase detection algorithm for finite state control of functional electrical stimulation during walking |
Sub Title (in English) | |
Keyword(1) | wearable |
Keyword(2) | functional electrical stimulation |
Keyword(3) | walking |
Keyword(4) | rehabilitation |
1st Author's Name | Koshi Shibagaki |
1st Author's Affiliation | Osaka University(Osaka Univ) |
2nd Author's Name | Suzufumi Arai |
2nd Author's Affiliation | Osaka University(Osaka Univ) |
3rd Author's Name | Matija Milosevic |
3rd Author's Affiliation | Osaka University(Osaka Univ) |
4th Author's Name | Taishin Nomura |
4th Author's Affiliation | Osaka University(Osaka Univ) |
Date | 2022-01-23 |
Paper # | NC2021-39 |
Volume (vol) | vol.121 |
Number (no) | NC-338 |
Page | pp.pp.43-43(NC), |
#Pages | 1 |
Date of Issue | 2022-01-14 (NC) |