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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
Sensors and Materials
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Sensors and Materials, Volume 30, Number 8(2) (2018)
Copyright(C) MYU K.K.
pp. 1825-1830
S&M1639 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2018.1901
Published in advance: August 6, 2018
Published: August 31, 2018

Wrist Rehabilitation Robot System and Its Effectiveness for Patients [PDF]

Ikuo Yamamoto, Miki Matsui, Toshio Higashi, Naoki Iso, Kenji Hachisuka, and Akiko Hachisuka

(Received April 20, 2017; Accepted March 5, 2018)

Keywords: wrist rehabilitation robot, myoelectric sensor, mirror effect, interface system, clinical trials, electroencephalograph data, near-infrared spectroscopy

The authors have developed a practical wrist rehabilitation robot for hemiplegic patients. It consists of a desk equipped with mechanical rotating handle grips, sensors, a computer, and a display. Myoelectric sensors, which are bioelectric signal detectors, are used to monitor the extensor carpi radialis longus/brevis muscle and flexor carpi radialis muscle activity during training. Training effectiveness is ensured by monitoring the extension and flexion of the appropriate muscles. A feature of the system is that it operates as a dual-wrist system, developed to mirror the training between wrists, making autonomous training of either wrist possible. A user-friendly touch screen interface is provided; the screen displays progress data and images to encourage the patients towards completion of the necessary rehabilitation tasks critical to facilitate recovery. The developed robotic system is relatively compact and portable. The effectiveness of this system has been confirmed through clinical trials, and motivational effectiveness has been confirmed through electroencephalography (EEG)-based evaluation and direct survey.

Corresponding author: Ikuo Yamamoto


Cite this article
Ikuo Yamamoto, Miki Matsui, Toshio Higashi, Naoki Iso, Kenji Hachisuka, and Akiko Hachisuka, Wrist Rehabilitation Robot System and Its Effectiveness for Patients, Sens. Mater., Vol. 30, No. 8, 2018, p. 1825-1830.



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