AIMC Topic: Electromyography

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Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks.

Sensors (Basel, Switzerland) Apr 12, 2023
In recent years, hand gesture recognition (HGR) technologies that use electromyography (EMG) signals have been of considerable interest in developing human-machine interfaces. Most state-of-the-art HGR approaches are based mainly on supervised machin...
Neural Networks, Computer Algorithms Humans Electromyography Gestures Hand
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New Artificial Intelligence-Integrated Electromyography-Driven Robot Hand for Upper Extremity Rehabilitation of Patients With Stroke: A Randomized, Controlled Trial.

Neurorehabilitation and neural repair Apr 11, 2023
BACKGROUND: An artificial intelligence (AI)-integrated electromyography (EMG)-driven robot hand was devised for upper extremity (UE) rehabilitation. This robot detects patients' intentions to perform finger extension and flexion based on the EMG acti...
Humans Artificial Intelligence Stroke Upper Extremity Stroke Rehabilitation Robotics Electromyography Treatment Outcome Recovery of Function
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Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a single-case experimental design.

Journal of neuroengineering and rehabilitation Apr 7, 2023
BACKGROUND: Machine-learning-based myocontrol of prosthetic devices suffers from a high rate of abandonment due to dissatisfaction with the training procedure and with the reliability of day-to-day control. Incremental myocontrol is a promising appro...
Recovery of Function Functional Status Hand Research Design Reproducibility of Results Electromyography Artificial Limbs Amputees Prosthesis Design Humans Exercise Therapy Machine Learning
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A myoelectric digital twin for fast and realistic modelling in deep learning.

Nature communications Mar 23, 2023
Muscle electrophysiology has emerged as a powerful tool to drive human machine interfaces, with many new recent applications outside the traditional clinical domains, such as robotics and virtual reality. However, more sophisticated, functional, and ...
Humans Algorithms Deep Learning Muscle, Skeletal Computer Simulation Electromyography
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Modulation of corticospinal excitability related to the forearm muscle during robot-assisted stepping in humans.

Experimental brain research Mar 17, 2023
In recent years, the neural control mechanisms of the arms and legs during human bipedal walking have been clarified. Rhythmic leg stepping leads to suppression of monosynaptic reflex excitability in forearm muscles. However, it is unknown whether an...
Pyramidal Tracts Electromyography Leg Muscle, Skeletal Evoked Potentials, Motor Humans Robotics Forearm H-Reflex
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Affect and stress detection based on feature fusion of LSTM and 1DCNN.

Computer methods in biomechanics and biomedical engineering Mar 15, 2023
The impact of emotions on health, especially stress, is receiving increasing attention. It is important to provide a non-invasive affect detection system that can be continuously monitored for a long period of time. Multi-sensor fusion strategies can...
Electrocardiography Electromyography Neural Networks, Computer Temperature Humans
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Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots.

Sensors (Basel, Switzerland) Mar 10, 2023
The lack of intuitive and active human-robot interaction makes it difficult to use upper-limb-assistive devices. In this paper, we propose a novel learning-based controller that intuitively uses onset motion to predict the desired end-point position ...
Intention Upper Extremity Electromyography Humans Motion Robotics
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Myoelectric Pattern Recognition Using Gramian Angular Field and Convolutional Neural Networks for Muscle-Computer Interface.

Sensors (Basel, Switzerland) Mar 1, 2023
In the field of the muscle-computer interface, the most challenging task is extracting patterns from complex surface electromyography (sEMG) signals to improve the performance of myoelectric pattern recognition. To address this problem, a two-stage a...
Muscles Algorithms Electromyography Neural Networks, Computer
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A 3-DoF robotic platform for the rehabilitation and assessment of reaction time and balance skills of MS patients.

PloS one Feb 24, 2023
The central nervous system (CNS) exploits anticipatory (APAs) and compensatory (CPAs) postural adjustments to maintain the balance. The postural adjustments comprising stability of the center of mass (CoM) and the pressure distribution of the body in...
Postural Balance Muscle, Skeletal Muscle Contraction Humans Robotic Surgical Procedures Robotics Posture Reaction Time Electromyography Multiple Sclerosis
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Exoskeletons need to react faster than physiological responses to improve standing balance.

Science robotics Feb 15, 2023
Maintaining balance throughout daily activities is challenging because of the unstable nature of the human body. For instance, a person's delayed reaction times limit their ability to restore balance after disturbances. Wearable exoskeletons have the...
Robotics Electromyography Humans Exoskeleton Device Ankle Joint Ankle
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