Combined use of EMG and EEG techniques for neuromotor assessment in rehabilitative applications: A systematic review
Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …
known quantitative techniques used for gathering biological signals at cortical and muscular …
Human-machine interaction technology for simultaneous gesture recognition and force assessment: A Review
L Zongxing, H Baizheng, C Yingjie… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The gesture recognition (GR) technology as one of the human–machine interfaces can
conveniently and effectively express the intention of human and has become the hot …
conveniently and effectively express the intention of human and has become the hot …
Multivariate fast iterative filtering based automated system for grasp motor imagery identification using EEG signals
One of the most crucial use of hands in daily life is gras**. Sometimes people with
neuromuscular disorders become incapable of moving their hands. This article proposes a …
neuromuscular disorders become incapable of moving their hands. This article proposes a …
Selection of features and classifiers for EMG-EEG-based upper limb assistive devices—A review
Bio-signals are distinctive factors in the design of human-machine interface, essentially
useful for prosthesis, orthosis, and exoskeletons. Despite the progress in the analysis of …
useful for prosthesis, orthosis, and exoskeletons. Despite the progress in the analysis of …
Classification of task weight during dynamic motion using EEG–EMG fusion
Musculoskeletal disorders are the biggest cause of disability worldwide and wearable
mechatronic rehabilitation devices have been proposed as a potential tool for providing …
mechatronic rehabilitation devices have been proposed as a potential tool for providing …
An electroencephalography-based human-machine interface combined with contralateral C7 transfer in the treatment of brachial plexus injury
M Zhang, C Li, SY Liu, FS Zhang… - Neural regeneration …, 2022 - journals.lww.com
Transferring the contralateral C7 nerve root to the median or radial nerve has become an
important means of repairing brachial plexus nerve injury. However, outcomes have been …
important means of repairing brachial plexus nerve injury. However, outcomes have been …
A fingertip force prediction model for grasp patterns characterised from the chaotic behaviour of EEG
A stable grasp is attained through appropriate hand presha** and precise fingertip forces.
Here, we have proposed a method to decode grasp patterns from motor imagery and …
Here, we have proposed a method to decode grasp patterns from motor imagery and …
Automated Grasp Recognition using sEMG: Recent Advances, Challenges and Future Developments
Surface electromyography (sEMG)-based automated grasp recognition (AGR) has emerged
as a vital technology in the field of automatic control, human-machine interfaces, prosthetics …
as a vital technology in the field of automatic control, human-machine interfaces, prosthetics …
Feature selection of EEG oscillatory activity related to motor imagery using a hierarchical genetic algorithm
Motor Imagery (MI) classification from neural activity is thought to represent valuable
information that can be provided as real-time feedback during rehabilitation after for …
information that can be provided as real-time feedback during rehabilitation after for …
EEG-controlled tele-gras** for undefined objects
This paper presents a teleoperation system of robot gras** for undefined objects based on
a real-time EEG (Electroencephalography) measurement and shared autonomy. When …
a real-time EEG (Electroencephalography) measurement and shared autonomy. When …