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 …

Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review

J Lee, S Miri, A Bayro, M Kim, H Jeong, WH Yeo - Biophysics Reviews, 2024‏ - pubs.aip.org
Human–machine interfaces (HMI) are currently a trendy and rapidly expanding area of
research. Interestingly, the human user does not readily observe the interface between …

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 …

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 …

sEMG-based gesture recognition using temporal history

C Hong, S Park, K Kim - IEEE Transactions on Biomedical …, 2023‏ - ieeexplore.ieee.org
Surface electromyography (sEMG) patterns have been decoded using learning-based
methods that determine complicated nonlinear decision boundaries. However, overlap** …

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 …

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 …

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

Investigation of adaptive muscle synergy modulated motor responses to gras** 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 …