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Paper Abstract and Keywords
Presentation 2022-01-23 09:25
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 (Osaka Univ) NC2021-39
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) wearable / functional electrical stimulation / walking / rehabilitation / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 338, NC2021-39, pp. 43-43, Jan. 2022.
Paper # NC2021-39 
Date of Issue 2022-01-14 (NC) 
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 NC2021-39

Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
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  
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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)
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Speaker Author-1 
Date Time 2022-01-23 09:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2021-39 
Volume (vol) vol.121 
Number (no) no.338 
Page p.43 
#Pages 1 
Date of Issue 2022-01-14 (NC) 

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