Robust simultaneous myoelectric control of multiple degrees of freedom in wrist-hand prostheses by real-time neuromusculoskeletal modeling

M Sartori, G Durandau, S Došen… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Robotic prosthetic limbs promise to replace mechanical function of lost biological
extremities and restore amputees' capacity of moving and interacting with the environment …

Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques

C Mokri, M Bamdad, V Abolghasemi - Medical & biological engineering & …, 2022 - Springer
The main objective of this work is to establish a framework for processing and evaluating the
lower limb electromyography (EMG) signals ready to be fed to a rehabilitation robot. We …

Myoelectric model reference adaptive control with adaptive kalman filter for a soft elbow exoskeleton

A Toro-Ossaba, JC Tejada, S Rúa, JD Núñez… - Control Engineering …, 2024 - Elsevier
Rehabilitation and assistance exoskeletons have been widely studied because they allow to
provide more effective, intensive, and adaptive therapies; in addition, they can be used to …

Estimation of EMG-based force using a neural-network-based approach

J Luo, C Liu, C Yang - IEEE Access, 2019 - ieeexplore.ieee.org
The dynamics of human arms has a high impact on the humans' activities in daily life,
especially when a human operates a tool such as interactions with a robot with the need for …

Linking cortex and contraction—Integrating models along the corticomuscular pathway

L Haggie, L Schmid, O Röhrle, T Besier… - Frontiers in …, 2023 - frontiersin.org
Computational models of the neuromusculoskeletal system provide a deterministic
approach to investigate input-output relationships in the human motor system …

Muscle activation and inertial motion data for noninvasive classification of activities of daily living

MS Totty, E Wade - IEEE Transactions on Biomedical …, 2017 - ieeexplore.ieee.org
Objective: Remote monitoring of physical activity using body-worn sensors provides an
objective alternative to current functional assessment tools. The purpose of this study was to …

Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study

M Al Harrach, V Carriou, S Boudaoud, J Laforet… - Computers in biology …, 2017 - Elsevier
The relationship between the surface Electromyogram (sEMG) signal and the force of an
individual muscle is still ambiguous due to the complexity of experimental evaluation …

An isometric muscle force estimation framework based on a high-density surface EMG array and an NMF algorithm

C Huang, X Chen, S Cao, B Qiu… - Journal of Neural …, 2017 - iopscience.iop.org
Objective. To realize accurate muscle force estimation, a novel framework is proposed in this
paper which can extract the input of the prediction model from the appropriate activation …

Muscle force estimation based on neural drive information from individual motor units

X Zhang, G Zhu, M Chen, X Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Estimation of muscle contraction force based on the macroscopic feature of surface
electromyography (SEMG) has been widely reported, but the use of microscopic neural drive …

Hand posture and force estimation using surface electromyography and an artificial neural network

M Wang, C Zhao, A Barr, H Fan, S Yu… - Human …, 2023 - journals.sagepub.com
Objective The purpose of this study was to develop an approach to predict hand posture
(pinch versus grip) and grasp force using forearm surface electromyography (sEMG) and …