AIMC Topic: Artificial Limbs
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Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms.
BioMed research international
Aug 29, 2017
Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages inclu...
Development of a multi-DoF transhumeral robotic arm prosthesis.
Medical engineering & physics
Jul 18, 2017
An anthropomorphic transhumeral robotic arm prosthesis is proposed in this study. It is capable of generating fifteen degrees-of-freedom, seven active and eight passive. In order to realize wrist motions, a parallel manipulator-based mechanism is pro...
Context-dependent adaptation improves robustness of myoelectric control for upper-limb prostheses.
Journal of neural engineering
Jul 10, 2017
OBJECTIVE: Dexterous upper-limb prostheses are available today to restore grasping, but an effective and reliable feed-forward control is still missing. The aim of this work was to improve the robustness and reliability of myoelectric control by usin...
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states.
Neural networks : the official journal of the International Neural Network Society
Jun 29, 2017
We propose a new value function approach for model-free reinforcement learning in Markov decision processes involving high dimensional states that addresses the issues of brittleness and intractable computational complexity, therefore rendering the v...
Turn Intent Detection For Control of a Lower Limb Prosthesis.
IEEE transactions on bio-medical engineering
Jun 28, 2017
OBJECTIVE: An adaptable lower limb prosthesis with variable stiffness in the transverse plane requires a control method to effect changes in real time during amputee turning. This study aimed to identify classification algorithms that can accurately ...
Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.
IEEE transactions on bio-medical engineering
Jun 23, 2017
UNLABELLED: Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern r...
Translational Motion Tracking of Leg Joints for Enhanced Prediction of Walking Tasks.
IEEE transactions on bio-medical engineering
Jun 22, 2017
OBJECTIVE: Walking task prediction in powered leg prostheses is an important problem in the development of biomimetic prosthesis controllers. This paper proposes a novel method to predict upcoming walking tasks by estimating the translational motion ...
Resolving the effect of wrist position on myoelectric pattern recognition control.
Journal of neuroengineering and rehabilitation
May 4, 2017
BACKGROUND: The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, wh...
Deep learning-based artificial vision for grasp classification in myoelectric hands.
Journal of neural engineering
May 3, 2017
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision sy...
Design and Characterization of a Quasi-Passive Pneumatic Foot-Ankle Prosthesis.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 28, 2017
The majority of commercially available passive prosthetic feet are not capable of providing joint mechanics that match that of the intact human ankle. Due to their cantilever design, their stiffness characteristics contrast with what has been observe...
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