Control capabilities of myoelectric robotic prostheses by hand amputees: a scientific research and market overview

M Atzori, H Müller - Frontiers in systems neuroscience, 2015 - frontiersin.org
Hand amputation can dramatically affect the capabilities of a person. Cortical reorganization
occurs in the brain, but the motor and somatosensorial cortex can interact with the remnant …

Shared human–robot proportional control of a dexterous myoelectric prosthesis

KZ Zhuang, N Sommer, V Mendez, S Aryan… - Nature Machine …, 2019 - nature.com
Myoelectric prostheses allow users to recover lost functionality by controlling a robotic
device with their remaining muscle activity. Such commercial devices can give users a high …

A review of myoelectric control for prosthetic hand manipulation

Z Chen, H Min, D Wang, Z **a, F Sun, B Fang - Biomimetics, 2023 - mdpi.com
Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

[HTML][HTML] Gesture recognition using dual-stream CNN based on fusion of sEMG energy kernel phase portrait and IMU amplitude image

L Xu, K Zhang, G Yang, J Chu - Biomedical signal processing and control, 2022 - Elsevier
Since the surface electromyography signal (sEMG) is a weak and unstable signal, human
action recognition based on sEMG time domain or frequency domain feature extraction has …

Neural data-driven musculoskeletal modeling for personalized neurorehabilitation technologies

M Sartori, DG Llyod, D Farina - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Objectives: The development of neurorehabilitation technologies requires the profound
understanding of the mechanisms underlying an individual's motor ability and impairment. A …

Robhand: A hand exoskeleton with real-time emg-driven embedded control. quantifying hand gesture recognition delays for bilateral rehabilitation

A Cisnal, J Pérez-Turiel, JC Fraile, D Sierra… - IEEE …, 2021 - ieeexplore.ieee.org
Assisted bilateral rehabilitation has been proven to help patients improve their paretic limb
ability and promote motor recovery, especially in upper limbs, after suffering a …

Hand gesture recognition and finger angle estimation via wrist-worn modified barometric pressure sensing

PB Shull, S Jiang, Y Zhu, X Zhu - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
This paper presents a new approach to wearable hand gesture recognition and finger angle
estimation based on the modified barometric pressure sensing. Barometric pressure sensors …

Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time

C Chen, Y Yu, X Sheng, D Farina… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …

Myoelectric pattern recognition for controlling a robotic hand: a feasibility study in stroke

Z Lu, K Tong, X Zhang, S Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Myoelectric pattern recognition has been successfully applied as a human-
machine interface to control robotic devices such as prostheses and exoskeletons …