Simultaneous and proportional real-time myocontrol of up to three degrees of freedom of the wrist and hand

M Nowak, I Vujaklija, A Sturma… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Achieving robust, intuitive, simultaneous and proportional control over multiple degrees of
freedom (DOFs) is an outstanding challenge in the development of myoelectric prosthetic …

The Use of Invasive and Non-Invasive Electrodes in Novel Technology of Upper Limb Prostheses: A Current Review

D Terrazas-Rodas… - 2023 International Seminar …, 2023 - ieeexplore.ieee.org
An amputation is the mutilation of a body part, which can be a limb or part of a limb. For the
World Health Organization (WHO), amputees represent approximately 0.25% and 1.25% of …

Self-Supervised Regression Of sEMG Signals Combining Non-Negative Matrix Factorization with Deep Neural Networks for Robot Hand Multiple Grasping Motion …

R Meattini, A Caporali, A Bernardini… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Advanced Human-In-The-Loop (HITL) control strategies for robot hands based on surface
electromyography (sEMG) are among major research questions in robotics. Due to intrinsic …

Bridging Human-Robot Co-Adaptation Via Biofeedback for Continuous Myoelectric Control

X Hu, A Song, H Zeng, Z Wei, H Deng… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
This letter proposes a novel human-robot co-adaptation framework for robust and accurate
user intent recognition, specifically in the context of automatic control in assistance robots …

User Training With Error Augmentation for sEMG-Based Gesture Classification

Y Bicer, N Smedemark-Margulies… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
We designed and tested a system for real-time control of a user interface by extracting
surface electromyographic (sEMG) activity from eight electrodes in a wristband …

[HTML][HTML] Investigation of adaptive muscle synergy modulated motor responses to grasping perturbations

E Jakubowitz, L Schmidt, A Obermeier… - Scientific Reports, 2024 - nature.com
This study investigated how muscle synergies adapt in response to unexpected changes in
object weight during lifting tasks. The aim was to discover which motor control strategies …

Decoding of unimanual and bimanual reach-and-grasp actions from EMG and IMU signals in persons with cervical spinal cord injury

M Wolf, R Rupp, A Schwarz - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. Chronic motor impairments of arms and hands as the consequence of a cervical
spinal cord injury (SCI) have a tremendous impact on activities of daily life. A considerable …

User Training with Error Augmentation for Electromyogram-based Gesture Classification

Y Bicer, N Smedemark-Margulies, B Celik… - arXiv preprint arXiv …, 2023 - arxiv.org
We designed and tested a system for real-time control of a user interface by extracting
surface electromyographic (sEMG) activity from eight electrodes in a wrist-band …

Progressive unsupervised control of myoelectric upper limbs

A Gigli, A Gijsberts, M Nowak, I Vujaklija… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Unsupervised myocontrol methods aim to create control models for myoelectric
prostheses while avoiding the complications of acquiring reliable, regular, and sufficient …

Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network

G Gao, X Zhang, X Chen, Z Chen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Objective: The objective of this work is to develop a novel myoelectric pattern recognition
(MPR) method to mitigate the concurrent interference of electrode shift and loosening …