AIMC Topic: Electromyography

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Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature.

Sensors (Basel, Switzerland) Sep 2, 2020
Continuous joint angle estimation based on a surface electromyography (sEMG) signal can be used to improve the man-machine coordination performance of the exoskeleton. In this study, we proposed a time-advanced feature and utilized long short-term me...
Muscle, Skeletal Electromyography Knee Joint Humans Neural Networks, Computer
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Exploring augmented grasping capabilities in a multi-synergistic soft bionic hand.

Journal of neuroengineering and rehabilitation Aug 25, 2020
BACKGROUND: State-of-the-art bionic hands incorporate hi-tech devices which try to overcome limitations of conventional single grip systems. Unfortunately, their complexity often limits mechanical robustness and intuitive prosthesis control. Recently...
Artificial Limbs Prosthesis Design Healthy Volunteers Electromyography Amputees Adult Male Robotics Hand Hand Strength Humans Female Young Adult Software
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Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals.

Sensors (Basel, Switzerland) Jul 29, 2020
The precise application of tightening torque is one of the important measures to ensure accurate bolt connection and improvement in product assembly quality. Currently, due to the limited assembly space and efficiency, a wrench without the function o...
Humans Torque Neural Networks, Computer Electromyography
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Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals.

Biomedical engineering online Jul 28, 2020
BACKGROUND: Machine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is ...
Signal Processing, Computer-Assisted Electromyography Gait Analysis Female Adult Male Humans Neural Networks, Computer
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Computer Vision-Based Grasp Pattern Recognition With Application to Myoelectric Control of Dexterous Hand Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 20, 2020
Artificial intelligence provides new feasibilities to the control of dexterous prostheses. To achieve suitable grasps over various objects, a novel computer vision-based classification method assorting objects into different grasp patterns is propose...
Hand Strength Hand Artificial Limbs Humans Prosthesis Design Electromyography Artificial Intelligence
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High accurate lightweight deep learning method for gesture recognition based on surface electromyography.

Computer methods and programs in biomedicine Jul 3, 2020
BACKGROUND AND OBJECTIVES: Surface Electromyography (sEMG) is used mostly for neuromuscular diagnosis, assistive technology, physical rehabilitation, and human-computer interactions. Achieving a precise and lightweight method along with low latency f...
Electromyography Electrodes Gestures Signal Processing, Computer-Assisted Humans Deep Learning
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Comparison study of classification methods of intramuscular electromyography data for non-human primate model of traumatic spinal cord injury.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jul 1, 2020
Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of symptoms that can be attributed to the nerve fiber tracts that are compromised. This includes limb weakness, sensory impairment, and truncal instabilit...
Humans Support Vector Machine Electromyography Spinal Cord Injuries Machine Learning Animals Primates
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Characterizing forearm muscle activity in young adults during dynamic wrist flexion-extension movement using a wrist robot.

Journal of biomechanics Jun 21, 2020
Current research suggests that the wrist extensor muscles function as the primary stabilizers of the wrist-joint complex. However, most investigations have utilized isometric study designs, with little consideration for wrist dynamics or changes in p...
Wrist Male Electromyography Forearm Muscle, Skeletal Range of Motion, Articular Humans Wrist Joint Robotics Young Adult
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Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification.

Sensors (Basel, Switzerland) Jun 21, 2020
Emotional responses are associated with distinct body alterations and are crucial to foster adaptive responses, well-being, and survival. Emotion identification may improve peoples' emotion regulation strategies and interaction with multiple life con...
Electrocardiography Emotions Humans Models, Biological Electromyography Neural Networks, Computer Cost-Benefit Analysis
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Machine-Learning-Based Muscle Control of a 3D-Printed Bionic Arm.

Sensors (Basel, Switzerland) Jun 2, 2020
In this paper, a customizable wearable 3D-printed bionic arm is designed, fabricated, and optimized for a right arm amputee. An experimental test has been conducted for the user, where control of the artificial bionic hand is accomplished successfull...
Printing, Three-Dimensional Electromyography Bionics Arm Support Vector Machine Muscle, Skeletal Decision Trees Algorithms Humans Gestures Neural Networks, Computer Machine Learning
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