Neuromorphic hardware for somatosensory neuroprostheses
In individuals with sensory-motor impairments, missing limb functions can be restored using
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
Arduino-based myoelectric control: towards longitudinal study of prosthesis use
Understanding how upper-limb prostheses are used in daily life helps to improve the design
and robustness of prosthesis control algorithms and prosthetic components. However, only a …
and robustness of prosthesis control algorithms and prosthetic components. However, only a …
Deep learning for enhanced prosthetic control: Real-time motor intent decoding for simultaneous control of artificial limbs
J Zbinden, J Molin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of advanced prosthetic devices that can be seamlessly used during an
individual's daily life remains a significant challenge in the field of rehabilitation engineering …
individual's daily life remains a significant challenge in the field of rehabilitation engineering …
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
Background Processing the surface electromyogram (sEMG) to decode movement intent is a
promising approach for natural control of upper extremity prostheses. To this end, this paper …
promising approach for natural control of upper extremity prostheses. To this end, this paper …
sEMG-based regression of hand kinematics with temporal convolutional networks on a low-power edge microcontroller
Human-Machine Interfaces based on gesture control are a very active field of research,
aiming to enable natural interaction with objects. Nowadays, one of the most promising State …
aiming to enable natural interaction with objects. Nowadays, one of the most promising State …
Minimum mapping from EMG signals at human elbow and shoulder movements into two DoF upper-limb robot with machine learning
This research focuses on the minimum process of classifying three upper arm movements
(elbow extension, shoulder extension, combined shoulder and elbow extension) of humans …
(elbow extension, shoulder extension, combined shoulder and elbow extension) of humans …
sEMG-driven Hand Dynamics Estimation with Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller
Surface electromyography (sEMG) is a State-of-the-Art (SoA) sensing modality for non-
invasive human-machine interfaces for consumer, industrial, and rehabilitation use cases …
invasive human-machine interfaces for consumer, industrial, and rehabilitation use cases …
Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes
The aim of this study was to experimentally test the effects of different electromyographic-
based prosthetic control modes on user task performance, cognitive workload, and …
based prosthetic control modes on user task performance, cognitive workload, and …
Event-based Estimation of Hand Forces from High-Density Surface EMG on a Parallel Ultra-Low-Power Microcontroller
Modeling hand kinematics and dynamics is a key goal for research on Human-Machine
Interfaces, with surface electromyography (sEMG) being the most commonly used sensing …
Interfaces, with surface electromyography (sEMG) being the most commonly used sensing …
Combined dynamic time warping and spatiotemporal attention for myoelectric control
M Jabbari, RN Khushaba… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
The success of pattern recognition based upper-limb prostheses control is linked to their
ability to extract appropriate features from the electromyogram (EMG) signals. Traditional …
ability to extract appropriate features from the electromyogram (EMG) signals. Traditional …