publication . Article . 2009

Fine detection of grasp force and posture by amputees via surface electromyography

Claudio Castellini; Emanuele Gruppioni; Angelo Davalli; Giulio Sandini;
  • Published: 11 Aug 2009 Journal: Journal of Physiology-Paris, volume 103, pages 255-262 (issn: 0928-4257, Copyright policy)
  • Publisher: Elsevier BV
The state-of-the-art feed-forward control of active hand prostheses is rather poor. Even dexterous, multi-fingered commercial prostheses are controlled via surface electromyography (EMG) in a way that enforces a few fixed grasping postures, or a very basic estimate of force. Control is not natural, meaning that the amputee must learn to associate, e.g., wrist flexion and hand closing. Nevertheless, recent literature indicates that much more information can be gathered from plain, old surface EMG. To check this issue, we have performed an experiment in which three amputees train a Support Vector Machine (SVM) using five commercially available EMG electrodes while...
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Medical Subject Headings: body regions
free text keywords: Physiology (medical), General Neuroscience, GRASP, Computer vision, Imaging phantom, Computer science, Healthy subjects, Simulation, Wrist, medicine.anatomical_structure, medicine, Electromyography, medicine.diagnostic_test, Prosthesis, medicine.medical_treatment, Support vector machine, Phantom limb, medicine.disease, Artificial intelligence, business.industry, business
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