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Brain–Machine Interface Using Brain Surface Electrodes: Real-Time Robotic Control and a Fully Implantable Wireless System
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Author(s): Masayuki Hirata (Osaka University Medical School, Japan), Takufumi Yanagisawa (Osaka University Medical School, Japan), Kojiro Matsushita (Osaka University Medical School, Japan), Hisato Sugata (Osaka University Medical School, Japan), Yukiyasu Kamitani (ATR Computational Neuroscience Laboratories, Japan), Takafumi Suzuki (The University of Tokyo, Japan), Hiroshi Yokoi (The University of Tokyo, Japan), Tetsu Goto (Osaka University Medical School, Japan), Morris Shayne (Osaka University Medical School, Japan), Youichi Saitoh (Osaka University Medical School, Japan), Haruhiko Kishima (Osaka University Medical School, Japan), Mitsuo Kawato (ATR Computational Neuroscience Laboratories, Japan)and Toshiki Yoshimine (Osaka University Medical School, Japan)
Copyright: 2013
Pages: 13
Source title:
Technological Advancements in Biomedicine for Healthcare Applications
Source Author(s)/Editor(s): Jinglong Wu (Okayama University, Japan)
DOI: 10.4018/978-1-4666-2196-1.ch036
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Abstract
The brain-machine interface (BMI) enables us to control machines and to communicate with others, not with the use of input devices, but through the direct use of brain signals. This chapter describes the integrative approach the authors used to develop a BMI system with brain surface electrodes for real-time robotic arm control in severely disabled people, such as amyotrophic lateral sclerosis patients. This integrative BMI approach includes effective brain signal recording, accurate neural decoding, robust robotic control, a wireless and fully implantable device, and a noninvasive evaluation of surgical indications.
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