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Embedded System for Prosthetic Control Using Implanted Neuromuscular Interfaces Accessed Via an Osseointegrated Implant

Enzo Mastinu (Institutionen för signaler och system, Medicinska signaler och system) ; P. Doguet ; Y. Botquin ; Bo Håkansson (Institutionen för signaler och system, Medicinska signaler och system) ; Max Jair Ortiz-Catalan (Institutionen för signaler och system, Medicinska signaler och system)
IEEE Transactions on Biomedical Circuits and Systems (1932-4545). Vol. 11 (2017), 4, p. 867-877.
[Artikel, refereegranskad vetenskaplig]

Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback. It includes a neurostimulator to provide direct neural feedback based on sensory information. The system was validated using real-time tasks characterization, power consumption evaluation, and myoelectric pattern recognition performance. Functionality was proven in a first pilot patient from whom results of daily usage were obtained. The system was designed to be reliably used in activities of daily living, as well as a research platform to monitor prosthesis usage and training, machine-learning-based control algorithms, and neural stimulation paradigms.

Nyckelord: Electromyography (EMG), prosthetic controller, osseointegration, pattern recognition, osseointegrated human-machine gateway (OHMG), sensory feedback



Denna post skapades 2017-07-13. Senast ändrad 2017-08-18.
CPL Pubid: 250695

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Medicinska signaler och system (2005-2017)

Ämnesområden

Robotteknik och automation
Signalbehandling
Inbäddad systemteknik
Medicinsk apparatteknik

Chalmers infrastruktur