Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 3, December 2017, Pages 243 - 247

A Piston Finger Device for Restoring the Motor Function of Chronic Plegic Fingers: Analysis of the Piston Finger Technique

Authors
Mengsu Wang, Hirofumi Tanabe, Kenji Ooka, Yoshifumi Morita
Corresponding Author
Mengsu Wang
Available Online 1 December 2017.
DOI
10.2991/jrnal.2017.4.3.14How to use a DOI?
Keywords
Piston finger technique, Plegic finger, Spasticity, Motion analysis, Piston finger device
Abstract

A piston finger technique (PFT) was developed for restoring the motor function of chronic plegic fingers, with good treatment outcomes, including reduced spasticity and improved muscle shortening. Before developing a piston finger device (PFD) simulating the PFT, we analyzed the PFT by using a motion capture system. The motion of a chronic plegic index finger was investigated after administering two types of PFT-based treatment. The ranges of motion of the proximal interphalangeal and metacarpophalangeal joints of the index finger, and the vibration width and frequency during treatment were measured. These results will be useful for developing a PFD.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 3
Pages
243 - 247
Publication Date
2017/12/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.4.3.14How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Mengsu Wang
AU  - Hirofumi Tanabe
AU  - Kenji Ooka
AU  - Yoshifumi Morita
PY  - 2017
DA  - 2017/12/01
TI  - A Piston Finger Device for Restoring the Motor Function of Chronic Plegic Fingers: Analysis of the Piston Finger Technique
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 243
EP  - 247
VL  - 4
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.3.14
DO  - 10.2991/jrnal.2017.4.3.14
ID  - Wang2017
ER  -