Finger movements classification based on fractional fourier transform coefficients extracted from surface emg signals
EMG signals have played a pivotal role as a fundamental component of myriad modern
prostheses to control prostheses' movements as well as identifying individual and combined …
prostheses to control prostheses' movements as well as identifying individual and combined …
Prediction of finger kinematics from discharge timings of motor units: Implications for intuitive control of myoelectric prostheses
Objective. The aim of the study was to characterize the accuracy in the identification of motor
unit discharges during natural movements using high-density electromyography (EMG) …
unit discharges during natural movements using high-density electromyography (EMG) …
Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches
Upper limb functional impairments persisting after stroke significantly affect patients' quality
of life. Precise adjustment of robotic assistance levels based on patients' motion intentions …
of life. Precise adjustment of robotic assistance levels based on patients' motion intentions …
[HTML][HTML] Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics
W Batayneh, E Abdulhay, M Alothman - Digital Communications and …, 2022 - Elsevier
Surface Electromyography (sEMG) plays a key role in many applications such as control of
Human-Machine Interfaces (HMI) and neuromusculoskeletal modeling. It has strongly …
Human-Machine Interfaces (HMI) and neuromusculoskeletal modeling. It has strongly …
Prediction of the performance of artificial neural networks in mapping sEMG to finger joint angles via signal pre-investigation techniques
W Batayneh, E Abdulhay, M Alothman - Heliyon, 2020 - cell.com
The inputs to the outputs of nonlinear systems can be modeled using machine and deep
learning approaches, among which artificial neural networks (ANNs) are a promising option …
learning approaches, among which artificial neural networks (ANNs) are a promising option …
An innovative wearable device to evaluate motor symptoms during deep brain stimulation surgery
AEF Oliveira - 2019 - search.proquest.com
The technological advancement observed over the past few years and the increasingly
interest of the overall population in this field explains the arising of wearable devices, which …
interest of the overall population in this field explains the arising of wearable devices, which …