AIMC Topic: Electromyography

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Hybrid attention-CNN model for classification of gait abnormalities using EMG scalogram images.

Journal of medical engineering & technology Feb 12, 2025
This research aimed to develop an algorithm for classifying scalogram images generated from electromyography data of patients with Rheumatoid Arthritis and Prolapsed Intervertebral Disc. Electromyography is valuable for assessing muscle function and ...
Middle Aged Female Electromyography Arthritis, Rheumatoid Humans Gait Adult Signal Processing, Computer-Assisted Neural Networks, Computer Male Algorithms
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Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG.

Sensors (Basel, Switzerland) Feb 10, 2025
sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signals generated by muscles, reflecting both motor intentions and the degree of muscle contraction. This study aims to classify and recognize nine types of...
Robotics Electromyography Intention Rehabilitation Movement Upper Extremity Humans Neural Networks, Computer Machine Learning
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Patient performance assessment methods for upper extremity rehabilitation in assist-as-needed therapy strategies: a comprehensive review.

Medical & biological engineering & computing Feb 7, 2025
This paper aims to comprehensively review patient performance assessment (PPA) methods used in assist-as-needed (AAN) robotic therapy for upper extremity rehabilitation. AAN strategies adjust robotic assistance according to the patient's performance,...
Robotics Electroencephalography Electromyography Upper Extremity Humans
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Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy?

Journal of neuroengineering and rehabilitation Feb 7, 2025
BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait training (RGT) has been shown to have beneficial effects in this patient population. However, clinical outcomes of RGT vary substantially from patien...
Muscle, Skeletal Robotics Electromyography Cerebral Palsy Adolescent Humans Gait Gait Disorders, Neurologic Child Female Exercise Therapy Treatment Outcome Male
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Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.

Medicina (Kaunas, Lithuania) Feb 5, 2025
: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physical therapy, there is no consensus on their management. In attempts to provide standardized and personalized treatment, a robotic-assisted device combin...
Shoulder Cohort Studies Robotics Biofeedback, Psychology Electromyography Range of Motion, Articular Musculoskeletal Diseases Adult Male Middle Aged Humans Retrospective Studies Female Aged
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Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.

Biosensors Feb 1, 2025
Repetitive lifting tasks in occupational settings often result in shoulder injuries, impacting both health and productivity. Accurately assessing the biomechanical risk of these tasks remains a significant challenge in occupational ergonomics, partic...
Adult Biomechanical Phenomena Male Humans Female Electromyography Ergonomics Lifting National Institute for Occupational Safety and Health, U.S. Risk Assessment Deep Learning United States
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Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Biomedizinische Technik. Biomedical engineering Jan 29, 2025
OBJECTIVES: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognit...
Convolutional Neural Networks Gestures Signal Processing, Computer-Assisted Humans Machine Learning Algorithms Electromyography Pattern Recognition, Automated
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Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface.

Journal of neural engineering Jan 29, 2025
Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI de...
Algorithms Animals Male Muscle, Skeletal Unsupervised Machine Learning Electromyography Brain-Computer Interfaces Motor Cortex Macaca mulatta
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An Active Control Method for a Lower Limb Rehabilitation Robot with Human Motion Intention Recognition.

Sensors (Basel, Switzerland) Jan 24, 2025
This study presents a method for the active control of a follow-up lower extremity exoskeleton rehabilitation robot (LEERR) based on human motion intention recognition. Initially, to effectively support body weight and compensate for the vertical mov...
Movement Exoskeleton Device Rehabilitation Robotics Electromyography Motion Neural Networks, Computer Humans Algorithms Machine Learning Lower Extremity
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Shared Control of Supernumerary Robotic Limbs Using Mixed Realityand Mouth-and-Tongue Interfaces.

Biosensors Jan 23, 2025
Supernumerary Robotic Limbs (SRLs) are designed to collaborate with the wearer, enhancing operational capabilities. When human limbs are occupied with primary tasks, controlling SRLs flexibly and naturally becomes a challenge. Existing methods such a...
Robotics Electromyography Artificial Limbs Female Adult Male Mouth Humans Tongue
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