Development of an upper-limb neuroprosthesis to voluntarily control elbow and hand. (18th August 2018)

• Record Type: Journal Article
• Authors: Ogiri, Yosuke; Yamanoi, Yusuke; Nishino, Wataru; Kato, Ryu; Takagi, Takehiko; Yokoi, Hiroshi
• Is Part Of: Advanced robotics. Volume 32:Number 16(2018)
• Page Start: 879
• Page End: 886
• Publication Date: 2018-08-18
• Subjects: Electromyography -- above-elbow prosthesis -- targeted muscle reinnervation -- pattern recognition; Robotics -- Periodicals; Robotics -- Japan -- Periodicals; Robotics; Japan; Periodicals; 629.89205
• DOI: 10.1080/01691864.2018.1507836
• Languages: English
• ISSNs: 0169-1864

Abstract

ABSTRACT: This work reports on the research and development of a lightweight neuroprosthesis that can control impaired motion using voluntary biological signals. The total weight of the developed neuroprosthesis is 900 g, which is the weight of 40% of the defective limb. Further, it is lighter than commercially available models. For a transhumeral amputee who had targeted muscle reinnervation (TMR) surgery, we attempted pattern classification using an artificial neural network (ANN) of a surface electromyogram (s-EMG) extracted from an innervated muscle. The result shows that classification of only five motions was possible using an s-EMG extracted from four dry electrodes. However, seven motion classifications were possible using eight wet-gel electrodes. The transhumeral amputee who had TMR surgery could thus successfully perform pick-and-place tasks using the neuroprosthesis. GRAPHICAL ABSTRACT: