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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 33, Number 10(3) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3645-3656
S&M2715 Research Paper https://doi.org/10.18494/SAM.2021.3596 Published: October 29, 2021 Development of Contralaterally Controlled Functional Electrical Stimulation to Realize Multiple Grasping Postures with Data Glove [PDF] Soichi Takigawa and Hidenori Mimura (Received August 24, 2021; Accepted October 12, 2021) Keywords: data globe, strain sensor, hand rehabilitation, functional electrical stimulation, multi-pad electrodes
To assist with functional electrical stimulation (FES) training for more effective recovery of grasping functions in paralyzed patients, our system recognizes multiple grasping postures of the opposite hand and selectively activates the muscles of the target hand using 24 multi-pad electrodes placed on the inner side of the forearm. Hand motion is detected via a data glove with carbon nanotube strain sensors placed at the metacarpophalangeal and proximal interphalangeal joints of each finger. The stimulating electrode patterns are established in advance by an automatic search of all electrode configurations. Multi-pad electrical stimulation based on the posture of the opposite hand symmetrically produces multiple grasping postures in the target hand.
Corresponding author: Soichi Takigawa, Hidenori Mimura  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Soichi Takigawa and Hidenori Mimura, Development of Contralaterally Controlled Functional Electrical Stimulation to Realize Multiple Grasping Postures with Data Glove, Sens. Mater., Vol. 33, No. 10, 2021, p. 3645-3656. |
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