AIMC Topic: Electromyography

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Using EMG signals to assess proximity of instruments to nerve roots during robot-assisted spinal surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS May 2, 2022
BACKGROUND: Detecting neural threats using electromyography (EMG) has gained recognition in the field of spinal surgery. To provide an efficient approach to detect neural threats during the operation of the spinal surgery robot, an automated method b...
Rabbits Spinal Puncture Robotics Robotic Surgical Procedures Spine Electromyography Animals
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Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method.

IEEE transactions on neural networks and learning systems May 2, 2022
Surface electromyography (sEMG) signals have been applied widely in prosthetic hand controlling. In the sEMG signal acquisition, wireless devices bring convenience, but also introduce signal missing due to interference or failure during data transmis...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Electromyography Algorithms Gestures
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Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot.

Sensors (Basel, Switzerland) Apr 30, 2022
Human Machine Interfaces (HMI) principles are for the development of interfaces for assistance or support systems in physiotherapy or rehabilitation processes. One of the main problems is the degree of customization when applying some rehabilitation ...
Algorithms Electromyography Humans Robotics Movement Machine Learning
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Machine Learning for Detection of Muscular Activity from Surface EMG Signals.

Sensors (Basel, Switzerland) Apr 28, 2022
BACKGROUND: Muscular-activity timing is useful information that is extractable from surface EMG signals (sEMG). However, a reference method is not available yet. The aim of this study is to investigate the reliability of a novel machine-learning-base...
Reproducibility of Results Electromyography Machine Learning Algorithms Neural Networks, Computer
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EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot.

Journal of biomechanics Apr 27, 2022
Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand movements in a tiresome manner to rebuild the injured neural circuits. Fatigue formation causes breaks in the training and limits the therapy duration. ...
Stroke Upper Extremity Hand Electromyography Stroke Rehabilitation Humans Robotics
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Automated Machine Learning Pipeline Framework for Classification of Pediatric Functional Nausea Using High-Resolution Electrogastrogram.

IEEE transactions on bio-medical engineering Apr 21, 2022
OBJECTIVE: Pediatric functional nausea is challenging for patients to manage and for clinicians to treat since it lacks objective diagnosis and assessment. A data-driven non-invasive diagnostic screening tool that distinguishes the electro-pathophysi...
Machine Learning Child Humans Nausea Support Vector Machine Electromyography
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Decoding finger movement patterns from microscopic neural drive information based on deep learning.

Medical engineering & physics Apr 9, 2022
Recent development of surface electromyogram (sEMG) decomposition technique provides a good basis of decoding movements from individual motor unit (MU) activities that directly representing microscopic neural drives. How to interpret the function and...
Humans Algorithms Deep Learning Electromyography Fingers Movement
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Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.

BMC medical informatics and decision making Mar 18, 2022
PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognition rate and poor stability. Electrocardiogram (ECG) signals with rich information were introduced into sEMG to improve the recognition rate of fatigue ...
Electromyography Fatigue Algorithms Support Vector Machine Electrocardiography Humans
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PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.

Sensors (Basel, Switzerland) Mar 16, 2022
Given the rising popularity of robotics, student-driven robot development projects are playing a key role in attracting more people towards engineering and science studies. This article presents the early development process of an open-source mobile ...
Robotics Brain-Computer Interfaces Software Humans Electromyography Support Vector Machine
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Deep Multi-Scale Fusion of Convolutional Neural Networks for EMG-Based Movement Estimation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2022
EMG-based motion estimation is required for applications such as myoelectric control, where the simultaneous estimation of kinematic information, namely joint angle and velocity, is challenging and critical. We propose a novel method for accurately m...
Elbow Joint Neural Networks, Computer Electromyography Elbow Humans Movement
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