fMRI analysis of prosthetic hand rehabilitation using a brain-machine interface

Hiroshi Yokoi; Keita Sato; Souichiro Morishita; Tatuhiro Nakamura; Ryu Kato; Tatsuya Umeda; Hidenori Watanabe; Yukio Nishimura; Tadashi Isa; Katsunori Ikoma; Tamaki Miyamoto; Osamu Yamamura

doi:10.1201/b13729

fMRI analysis of prosthetic hand rehabilitation using a brain-machine interface

Hiroshi Yokoi, Keita Sato, Souichiro Morishita, Tatuhiro Nakamura, Ryu Kato, Tatsuya Umeda, Hidenori Watanabe, Yukio Nishimura, Tadashi Isa, Katsunori Ikoma, Tamaki Miyamoto, Osamu Yamamura

MED - Medical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

Introduction The increasing use of prosthetic equipment is driven by the development of robotics technology for supporting the daily life of physically challenged people, for example, people with disabilities due to amputations, muscular debility, or nerve diseases. The concept of embodiment suggests the integration of natural behaviour and human intelligence towards useful and robust performance of cyber robotics systems. The goal of this research is a mutually adaptable prosthetic system that can recognise human intentions and accommodate the multifunctional adaptive mechanisms of the human brain. Our research encompasses mechanical design, computational system design, biofeedback system design, and analysis of human adaptation. Section 10.2 introduces previous relevant research.

Original language	English
Title of host publication	Advances in Therapeutic Engineering
Publisher	CRC Press
Pages	219-250
Number of pages	32
ISBN (Electronic)	9781439871744
ISBN (Print)	9781439871737
DOIs	https://doi.org/10.1201/b13729
Publication status	Published - 2012 Jan 1

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abstract = "Introduction The increasing use of prosthetic equipment is driven by the development of robotics technology for supporting the daily life of physically challenged people, for example, people with disabilities due to amputations, muscular debility, or nerve diseases. The concept of embodiment suggests the integration of natural behaviour and human intelligence towards useful and robust performance of cyber robotics systems. The goal of this research is a mutually adaptable prosthetic system that can recognise human intentions and accommodate the multifunctional adaptive mechanisms of the human brain. Our research encompasses mechanical design, computational system design, biofeedback system design, and analysis of human adaptation. Section 10.2 introduces previous relevant research.",

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T1 - fMRI analysis of prosthetic hand rehabilitation using a brain-machine interface

AU - Yokoi, Hiroshi

AU - Sato, Keita

AU - Morishita, Souichiro

AU - Nakamura, Tatuhiro

AU - Kato, Ryu

AU - Umeda, Tatsuya

AU - Watanabe, Hidenori

AU - Nishimura, Yukio

AU - Isa, Tadashi

AU - Ikoma, Katsunori

AU - Miyamoto, Tamaki

AU - Yamamura, Osamu

PY - 2012/1/1

Y1 - 2012/1/1

N2 - Introduction The increasing use of prosthetic equipment is driven by the development of robotics technology for supporting the daily life of physically challenged people, for example, people with disabilities due to amputations, muscular debility, or nerve diseases. The concept of embodiment suggests the integration of natural behaviour and human intelligence towards useful and robust performance of cyber robotics systems. The goal of this research is a mutually adaptable prosthetic system that can recognise human intentions and accommodate the multifunctional adaptive mechanisms of the human brain. Our research encompasses mechanical design, computational system design, biofeedback system design, and analysis of human adaptation. Section 10.2 introduces previous relevant research.

AB - Introduction The increasing use of prosthetic equipment is driven by the development of robotics technology for supporting the daily life of physically challenged people, for example, people with disabilities due to amputations, muscular debility, or nerve diseases. The concept of embodiment suggests the integration of natural behaviour and human intelligence towards useful and robust performance of cyber robotics systems. The goal of this research is a mutually adaptable prosthetic system that can recognise human intentions and accommodate the multifunctional adaptive mechanisms of the human brain. Our research encompasses mechanical design, computational system design, biofeedback system design, and analysis of human adaptation. Section 10.2 introduces previous relevant research.

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fMRI analysis of prosthetic hand rehabilitation using a brain-machine interface

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