Assessment of an Automatic Prosthetic Elbow Control Strategy Using Residual Limb Motion for Transhumeral Amputated Individuals With Socket or Osseointegrated Prostheses

Autor: Max Ortiz-Catalan, Mathilde Legrand, Amélie Touillet, Noël Martinet, Jean Paysant, Enzo Mastinu, Nathanaël Jarrassé, Manelle Merad, Agnès Roby-Brami, E. de Montalivet
Přispěvatelé: Assistance aux Gestes et Applications THErapeutiques (AGATHE), Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Chalmers University of Technology [Göteborg], Institut Régional de Médecine Physique et de Réadaptation Louis Pierquin [Nancy] (IRR Louis Pierquin), Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Transactions on Medical Robotics and Bionics
IEEE Transactions on Medical Robotics and Bionics, IEEE, 2020, pp.1-12. ⟨10.1109/TMRB.2020.2970065⟩
ISSN: 2576-3202
DOI: 10.1109/TMRB.2020.2970065⟩
Popis: Most transhumeral amputated individuals deplore the lack of functionality of their prosthesis due to control-related limitations. Commercialized prosthetic elbows are controlled via myoelectric signals, yielding complex control schemes when users have to control an entire prosthetic limb. Limited control causes the development of compensatory strategies. An alternative control strategy associates residual limb motions to automatize the prosthetic elbow motion using a model of physiological shoulder/elbow synergies. Preliminary studies have shown that elbow motion could be predicted from residual limb kinematic measurements, but results with transhumeral amputated individuals were lacking. This study focuses on the experimental assessment of automatic prosthetic elbow control during a reaching task, compared to conventional myoelectric control, with six transhumeral amputated individuals, among whom, three had an osseointegrated device. Part of the recruited participants had an osseointegrated prosthetic device. The task was achieved within physiological precision errors with both control modes. Automatic elbow control reduced trunk compensations, and restored a physiologically-like shoulder/elbow movement synchronization. However, the kinematic assessment showed that amputation and prosthesis wear modifies the shoulder movements in comparison with physiological shoulder kinematics. Overall, participants described the automatic elbow control strategy as intuitive, and this work highlights the interest of automatized prosthetic elbow motion.
Databáze: OpenAIRE