AIMC Topic: Electromyography

Clear Filters Showing 201 to 210 of 659 articles

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks.

Sensors (Basel, Switzerland) Dec 8, 2022
Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and inertial measurement unit signals (IMUs) have been studied for different applications in recent years. Most commonly, cutting-edge HGR methods are based on supervised...
Hand Electromyography Algorithms Gestures Upper Extremity Neural Networks, Computer
View on PubMed DOI

Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach.

Medical engineering & physics Dec 7, 2022
Joint dynamic properties play essential roles in a wide range of biomechanical movement control. This paper develops a device with a novel mechatronic design to apply small-amplitude perturbations to the human knee. Surface Electromyography is employ...
Machine Learning Lower Extremity Robotics Humans Movement Electromyography Knee Knee Joint
View on PubMed DOI

The effect of the 2-UPS/RR ankle rehabilitation robot with coupling biomechanical model on muscle behaviors.

Medical & biological engineering & computing Dec 2, 2022
With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankle joint injury, we imported simplified model of proposed 2-UPS/RR (two identical unconstraint kinematic branches with a universal-prismatic-spherical ...
Ankle Joint Ankle Humans Biomechanical Phenomena Robotics Muscle, Skeletal Electromyography
View on PubMed DOI

EMG-driven shared human-robot compliant control for in-hand object manipulation in hand prostheses.

Journal of neural engineering Dec 2, 2022
. The limited functionality of hand prostheses remains one of the main reasons behind the lack of its wide adoption by amputees. Indeed, while commercial prostheses can perform a reasonable number of grasps, they are often inadequate for manipulating...
Humans Longitudinal Studies Hand Strength Electromyography Amputees Robotics Artificial Limbs Hand
View on PubMed DOI

Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network.

IEEE journal of biomedical and health informatics Nov 10, 2022
Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine interaction (HMI), where continuous motion estimation with high accuracy has been the challenge. The convolutional neural network (CNN) possesses excel...
Neural Networks, Computer Algorithms Exoskeleton Device Electromyography Humans
View on PubMed DOI

Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis.

Biomedical physics & engineering express Nov 8, 2022
A wide range of application domains,s such as remote robotic control, rehabilitation, and remote surgery, require capturing neuromuscular activities. The reliability of the application is highly dependent on an ability to decode intentions accurately...
Movement Fuzzy Logic Electromyography Neural Networks, Computer Humans Reproducibility of Results
View on PubMed DOI

MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.

PloS one Nov 7, 2022
In the field of surface electromyography (sEMG) gesture recognition, how to improve recognition accuracy has been a research hotspot. The rapid development of deep learning provides a new solution to this problem. At present, the main applications of...
Hand Recognition, Psychology Electrodes Algorithms Humans Gestures Electromyography Neural Networks, Computer
View on PubMed DOI

A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal.

Sensors (Basel, Switzerland) Nov 3, 2022
In this study, a traumatic spinal cord injury (TSCI) classification system is proposed using a convolutional neural network (CNN) technique with automatically learned features from electromyography (EMG) signals for a non-human primate (NHP) model. A...
Spinal Cord Injuries Animals Macaca fascicularis Deep Learning Neural Networks, Computer Electromyography Machine Learning
View on PubMed DOI

Urologic latency time during uroflow stop test with electromyography: an incontinence detector in rehabilitation after robotic radical prostatectomy.

European journal of physical and rehabilitation medicine Oct 28, 2022
BACKGROUND: Stress urinary incontinence (UI) is the most common presentation following robot-assisted radical prostatectomy (RARP), but a postoperative non-invasive and objective test is still lacking. To assess pelvic floor integrity after RARP, we ...
Prostate Electromyography Prospective Studies Prostatectomy Male Urinary Incontinence Humans Prostatic Neoplasms Treatment Outcome Urology Robotic Surgical Procedures Longitudinal Studies Robotics
View on PubMed DOI

A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 28, 2022
OBJECTIVE: Previous studies have demonstrated promising results in estimating the neural drive to muscles, the net output of all motoneurons that innervate the muscle, using high-density electromyography (HD-EMG) for the purpose of interfacing with a...
Isometric Contraction Humans Neural Networks, Computer Muscle, Skeletal Electromyography Muscle Contraction
View on PubMed DOI
Popular Topics
Recent Journals