Control capabilities of myoelectric robotic prostheses by hand amputees: a scientific research and market overview
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 …
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
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 …
device with their remaining muscle activity. Such commercial devices can give users a high …
A review of myoelectric control for prosthetic hand manipulation
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 …
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 …
action recognition based on sEMG time domain or frequency domain feature extraction has …
Neural data-driven musculoskeletal modeling for personalized neurorehabilitation technologies
Objectives: The development of neurorehabilitation technologies requires the profound
understanding of the mechanisms underlying an individual's motor ability and impairment. A …
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
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 …
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
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 …
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
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …
establish human-machine interfacing (HMI), but most investigations are implemented offline …
Myoelectric pattern recognition for controlling a robotic hand: a feasibility study in stroke
Objective: Myoelectric pattern recognition has been successfully applied as a human-
machine interface to control robotic devices such as prostheses and exoskeletons …
machine interface to control robotic devices such as prostheses and exoskeletons …