筋電義手装着後のリハビリサポートをするためAR (augmented reality, 拡張現実)シミュレーターを用いて神経移行術後のバイオフィードバック訓練を積極的に行い、評価していく。
A research is collaborated with Department of Rehabilitation Medicine, Tokai University School of Medicine, Cyber-Robotics Lab, Yokohama National University (Kato Lab), and University of Electro-Communications (Yokoi Lab).
Articles and programs:
* This study was mentioned in an article published by Asahi Shimbun (December 2, 2016). The article was entitled “Nerve transfer surgery allows for making a myoelectric prosthetic hand, even in patients whose upper limb consists of only the upper arm.”
* This study was mentioned by Television KANAGAWA (TVK) in the program “Kana-ful TV” (February 5, 2017).
In addition, this is currently being conducted a Priority Project at the Robot Town Sagami.
１．Analysis of hand prostheses.
The currently available prosthesis allows for finger flexion only and does not allow for multiple movements such as forearm pronation/supination or elbow flexion. Therefore, in a study of a myoelectric hand with multiple degrees of freedom that we have developed, we verified its utility by using as many evaluation items as possible (time lag, grip strength, pinch force, functional assessment, surface electromyography, needle electromyography, and magnetic resonance imaging). When needed, nerve transfer surgery was performed, and studies were carried out aimed at allowing efficient prosthetic hand movements.
Prototype glove is made of crystal gel, a material used for manufacturing highly durable hyperelastic silicone.
２．Myoelectric hand rehabilitation using an augmented reality (AR) simulator
To support the patient with the myoelectric hand, biofeedback training is carried out after nerve transfer surgery by using an AR simulator.
We are conducting a clinical trial (see below) to move the prosthetic hands consistently for patients with congenital arm deficiencies as well as patients with acquired amputated arms (e.g. after accidents), under an approval by clinical research ethics review board at Tokai University School of Medicine (Approval number, 14R-199).
Recruitment of study participants
Department of Orthopaedic Surgery, Tokai University School of Medicine
E-mail: firstname.lastname@example.org We accept inquiries by e-mail.
A research group led by Assistant Professor Takehiko Takagi has developed a "Myoelectric hand with a learning function allowing for the device to be adjusted to each individual user" and a clinical trial has been started.
November 26, 2015
A research group led by Assistant Professor Takehiko Takagi, Department of Orthopaedic Surgery, specialized in hand and peripheral nerve surgery, and his collaborators successfully developed an intelligent electric hand prosthesis with a myoelectrically controlled device equipped with a learning function allowing for the latter to adapt to each individual user. The study was started in 2010, mainly by Dr. Hiroshi Yokoi, a professor at the University of Electro-Communications and a head of the aforementioned university's Brain Science-Inspired Life Support Research Center. Ever since, the study has been carried out with support from the Japan Society for the Promotion of Science that provided a grant-in-aid for scientific research, the Japan Science and Technology Agency, as well as the Japan Agency for Medical Research and Development (AMED) through the Adaptable and Seamless Technology Transfer Program through target-driven research and development (A-STEP) and through the AMED's Strategic Research Program for Brain Sciences (SRPBS). On the November 11, 2015, the University of Electro-Communications held a press conference, reported their research results, and called for collaboration in conducting clinical tests.
A myoelectric hand is a prosthetic hand whose movements are controlled by electrical signals that are generated for producing muscle movements (myopotentials). Because of differences in intensities and patterns of electrical signals, training was time-consuming, and the device was expensive and heavy and could only be used on a limited number of people. The myoelectric hand that we developed in this study was a robot hand with a learning function that allows for the prosthetic hand to easily remember muscle movements of each individual user. When the user moves his/her muscles in a way as to “grasp” or “open” his/her hands, the patterns of electrical signals corresponding to those movements are input into the built-in miniature microcomputer inside the prosthetic hand. When a user wears the prosthesis and makes muscles exert some force in the same manner, he/she will be able to manipulate the device according to his/her own will, and will be able to use it after practicing for a short period of time.
In addition, the main parts, such as the myoelectric control system, the sensors, and the motor, have been modularized and made compact and lightweight, allowing for cost reduction. The glove part of the prosthesis was modeled with a 3D printer by using highly flexible material, allowing for achieving ideal shapes and thickness; as a result, movements such as “pinching a coin,” “grabbing a soft object such as a paper cup,” and “tying shoelaces” have been made possible. In addition to being suitable for various sizes ranging from infants to adults, this device can also be incorporated into existing decorative hand prostheses, and can be easily used by first-timers and by people with low residual muscle mass.
Next, in an effort to designate parts needed to complete the prosthetic device as established by the Japanese Ministry of Health, Labour and Welfare, we plan on carrying out clinical tests on study participants and collaborating with experts to evaluate the device's utility in daily life. Professor Takagi says: “The research-and-development phase of this study has been brought to completion, and now we are finally about to start clinical trials aimed at the commercialization and distribution of this product. We have reception desks at Tokai University School of Medicine, as well as at National Center for Child Health and Development, where we accept applications for enrollment as study participants. We hope that many people will cooperate with us.”