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Neural Network Control of Transhumeral Prostheses: Electromyogram Data Analysis

Analysis of EMG data during reaching for imaginary targets, showcasing muscle activity patterns including anterior deltoid, biceps, triceps, and more. The study explores neural network control for transhumeral prostheses. Study conducted by Pulliam, Lambrecht, and Kirsch (2011) published in the Journal of Rehabilitation Research and Development.

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Neural Network Control of Transhumeral Prostheses: Electromyogram Data Analysis

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  1. Figure 2. Experimental data recorded during single trial during which subject reached for series of imaginary targets in space, returning arm to rest position between reaches. ANTD = anterior deltoid, BICP = biceps, BRAC = brachialis, CPEC = clavicular pectoralis, FE = flexion/extension, MIDD = middle deltoid, POSD = posterior deltoid, PS = pronation/supination, TRIC = triceps. Pulliam CL, Lambrecht JM, Kirsch RF. Electromyogram-based neural network control of transhumeral prostheses.J Rehabil Res Dev. 2011;48(6):739-54.DOI:10.1682/JRRD.2010.12.0237

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