Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks [PDF]
bioRxiv, 2022 Robotic leg prostheses and exoskeletons can provide powered locomotor assistance to older adults and/or persons with physical disabilities. However, the current locomotion mode recognition systems being developed for intelligent high-level control and ...
Brokoslaw Laschowski +3 more
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Titania nanotube arrays as interfaces for neural prostheses [PDF]
Materials Science and Engineering C, 2015 Paulo Soares, Ketul C Popat
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Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses [PDF]
arXiv.org, 2022 Cortical prostheses are devices implanted in the visual cortex that attempt to restore lost vision by electrically stimulating neurons. Currently, the vision provided by these devices is limited, and accurately predicting the visual percepts resulting ...
Jacob Granley +2 more
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Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses [PDF]
Scientific Reports, 2020 Conventional prosthetic arms suffer from poor controllability and lack of sensory feedback. Owing to the absence of tactile sensory information, prosthetic users must rely on incidental visual and auditory cues.
Enzo Mastinu +11 more
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Multichannel stimulation module as a tool for animal studies on cortical neural prostheses. [PDF]
Front Med Technol, 2022 Hayashida Y +4 more
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ACS Applied Materials and Interfaces, 2018 Three-dimensional scaffolds for cellular organization need to enjoy a series of specific properties. On the one hand, the morphology, shape and porosity are critical parameters and eventually related with the mechanical properties.
Núria Alegret +9 more
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Decoding methods for neural prostheses: where have we reached? [PDF]
Frontiers in Systems Neuroscience, 2014 This article reviews advances in decoding methods for brain-machine interfaces. Recent work has focused on practical considerations for future clinical deployment of prosthetics.
Zheng eLi, Zheng eLi
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Optimal interphase delay in biphasic current pulses facilitates neural circuit activation induced by microstimulation in the mouse visual cortex [PDF]
Frontiers in NeuroscienceCathodic-first biphasic current pulses are commonly employed in intracortical microstimulation. Due to the intricate arrangement of axons, somata, and dendrites in the cerebral cortex, membrane polarizations induced by the cathodic and subsequent anodic ...
Santa Fukuda, Yuki Hayashida
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Neural prostheses and brain plasticity. [PDF]
J Neural Eng, 2009 The success of modern neural prostheses is dependent on a complex interplay between the devices' hardware and software and the dynamic environment in which the devices operate: the patient's body or 'wetware'. Over 120 000 severe/profoundly deaf individuals presently receive information enabling auditory awareness and speech perception from cochlear ...
Fallon JB, Irvine DR, Shepherd RK.
europepmc +4 more sources
Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control
IEEE AccessThis paper presents a method for controlling the prosthetic leg using surface Electromyography (sEMG) signals, Artificial Neural Network (ANN), and Super Twisting Sliding Mode Control (ST-SMC).
Adisu Tadese Demora, Chala Merga Abdissa
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