Motor-commands decoding using peripheral nerve signals: a review
During the last few decades, substantial scientific and technological efforts have been
focused on the development of neuroprostheses. The major emphasis has been on …
focused on the development of neuroprostheses. The major emphasis has been on …
Targeted muscle reinnervation for prosthetic control
KD Bergmeister, S Salminger, OC Aszmann - Hand Clinics, 2021 - hand.theclinics.com
Arm loss presents a significant lifetime event leading to severe physical and psychological
burdens to patients. When limb salvage is futile, myoelectric prostheses can be used to …
burdens to patients. When limb salvage is futile, myoelectric prostheses can be used to …
Review of electromyography onset detection methods for real-time control of robotic exoskeletons
CR Carvalho, JM Fernández, AJ Del-Ama… - Journal of …, 2023 - Springer
Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …
activity associated with muscle contraction and is widely applied in Biomechanics …
Two-source validation of progressive FastICA peel-off for automatic surface EMG decomposition in human first dorsal interosseous muscle
This study aims to assess the accuracy of a novel high density surface electromyogram
(SEMG) decomposition method, namely automatic progressive FastICA peel-off (APFP), for …
(SEMG) decomposition method, namely automatic progressive FastICA peel-off (APFP), for …
Broadband prosthetic interfaces: combining nerve transfers and implantable multichannel EMG technology to decode spinal motor neuron activity
Modern robotic hands/upper limbs may replace multiple degrees of freedom of extremity
function. However, their intuitive use requires a high number of control signals, which current …
function. However, their intuitive use requires a high number of control signals, which current …
Bidirectional bionic limbs: a perspective bridging technology and physiology
C Pasluosta, P Kiele, P Čvančara… - Journal of Neural …, 2022 - iopscience.iop.org
Precise control of bionic limbs relies on robust decoding of motor commands from nerves or
muscles signals and sensory feedback from artificial limbs to the nervous system by …
muscles signals and sensory feedback from artificial limbs to the nervous system by …
sEMG-Based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin.
Surface electromyography (sEMG)-based gesture recognition can achieve high intra-
session performance. However, the inter-session performance of gesture recognition …
session performance. However, the inter-session performance of gesture recognition …
A thin-film multichannel electrode for muscle recording and stimulation in neuroprosthetics applications
S Muceli, W Poppendieck, KP Hoffmann… - Journal of neural …, 2019 - iopscience.iop.org
Objective. We propose, design and test a novel thin-film multichannel electrode that can be
used for both recording from and stimulating a muscle in acute implants. Approach. The …
used for both recording from and stimulating a muscle in acute implants. Approach. The …
A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint angles
Objective: Previous studies have demonstrated promising results in estimating the neural
drive to muscles, the net output of all motoneurons that innervate the muscle, using high …
drive to muscles, the net output of all motoneurons that innervate the muscle, using high …
Non-invasive decoding of the motoneurons: a guided source separation method based on convolution kernel compensation with clustered initial points
Despite the progress in understanding of neural codes, the studies of the cortico-muscular
coupling still largely rely on interferential electromyographic (EMG) signal or its rectification …
coupling still largely rely on interferential electromyographic (EMG) signal or its rectification …