Controlling several joints simultaneously is a common feature of natural arm movements. Robotic prostheses shall offer this possibility to their wearer. Yet, existing approaches to control a robotic upper-limb prosthesis from myoelectric interfaces do not satisfactorily respond to this need: standard methods provide sequential joint-by-joint motion control only; advanced pattern recognition-based approaches allow the control of a limited subset of synchronized multi-joint movements and remain complex to set up. In this paper, we exploit a control method of an upper-limb prosthesis based on body motion measurement called Compensations Cancellation Control (CCC). It offers a straightforward simultaneous control of the intermediate joints, namely the wrist and the elbow. Four transhumeral amputated participants performed the Refined Rolyan Clothespin Test with an experimental prosthesis alternatively running CCC and conventional joint-by-joint myoelectric control. Task performance, joint motions, body compensations and cognitive load were assessed. This experiment shows that CCC restores simultaneity between prosthetic joints while maintaining the level of performance of conventional myoelectric control (used on a daily basis by three participants), without increasing compensatory motions nor cognitive load.
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http://dx.doi.org/10.1109/TNSRE.2022.3186266 | DOI Listing |
Prosthet Orthot Int
January 2025
Department of Occupational Therapy, UFMG, Belo Horizonte, Minas Gerais, Brazil.
The abandonment rates of upper-limb (UL) prostheses are concerning and are related to limitations in the functional and kinematic aspects of the UL prosthesis. Evaluating the usability of prostheses is essential to make improvements in relation to these aspects and develop effective equipment and inform clinical results relevant to rehabilitation. The purpose of this scoping review is to explore the current state of the literature, the characteristics of studies on the topic, and the main parameters and instruments used to evaluate UL prosthesis, regarding kinematic and functional aspects.
View Article and Find Full Text PDFJ Hand Ther
January 2025
Research Service, James Haley VA, Tampa, FL, USA.
Background: The Activities Measure for Upper Limb Amputation (AM-ULA), an activity measure for prosthesis users, uses a complex grading rubric to assign a single score to task performance which may limit responsiveness.
Purpose: To enhance AM-ULA responsiveness by exploring a scoring that uses multiple grading elements.
Study Design: Cross-sectional study.
Vascular
January 2025
Department of Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
Background: Peripheral artery disease (PAD) outcomes often rely on the expertise of individual vascular units, introducing potential subjectivity into disease staging. This retrospective, multicenter cohort study aimed to demonstrate the ability of artificial intelligence (AI) to provide disease staging based on inter-institutional expertise by predicting limb outcomes in post-interventional pedal angiograms of PAD patients, specifically in comparison to the inframalleolar modifier in the Global Limb Anatomic Staging System (IM GLASS).
Methods: We used computer vision (CV) based on the MobileNetV2 model, implemented via TensorFlow.
PLoS One
January 2025
Laboratory for Biomechanics and Biomaterials, Department of Orthopedic Surgery, DIAKOVERE Annastift, Hannover Medical School, Hannover, Germany.
Prosthetic gait differs considerably from the unimpaired gait. Studying alterations in the gait patterns could help to understand different adaptation mechanisms adopted by these populations. This study investigated the effects of induced stiff-knee gait (SKG) on prosthetic and healthy gait patterns and the capabilities of predictive simulation.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, USA.
Children born with congenital upper limb absence exhibit consistent and distinguishable levels of biological control over their affected muscles, assessed through surface electromyography (sEMG). This represents a significant advancement in determining how these children might utilize sEMG-controlled dexterous prostheses. Despite this potential, the efficacy of employing conventional sEMG classification techniques for children born with upper limb absence is uncertain, as these techniques have been optimized for adults with acquired amputations.
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