AIMC Topic: Electromyography

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A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a challenge. Surface electromyography ...
Humans Robotics Arm Upper Extremity Electromyography Artificial Limbs
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Concurrent Prediction of Dexterous Finger Flexion and Extension Force via Deep Forest.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Neuromuscular injuries can impair hand function and profoundly impacting the quality of life. This has motivated the development of advanced assistive robotic hands. However, the current neural decoder systems are limited in their ability to provide ...
Electromyography Humans Fingers Quality of Life Robotics Hand
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Multi-Grasp Classification for the Control of Robot Hands Employing Transformers and Lightmyography Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The increasing use of smart technical devices in our everyday lives has necessitated the use of muscle-machine interfaces (MuMI) that are intuitive and that can facilitate immersive interactions with these devices. The most common method to develop M...
Humans Hand Strength Electromyography Muscles Robotics Hand
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Upper Limb Movement Decoding Scheme Based on Surface Electromyography Using Attention-Based Kalman Filter Scheme.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2023
Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system, r...
Neural Networks, Computer Electromyography Humans Movement Upper Extremity
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A Feature-Encoded Physics-Informed Parameter Identification Neural Network for Musculoskeletal Systems.

Journal of biomechanical engineering Dec 1, 2022
Identification of muscle-tendon force generation properties and muscle activities from physiological measurements, e.g., motion data and raw surface electromyography (sEMG), offers opportunities to construct a subject-specific musculoskeletal (MSK) d...
Physics Algorithms Muscle, Skeletal Electromyography Range of Motion, Articular Humans Neural Networks, Computer
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Testing robot-based assist-as-needed therapy for improving active participation of a patient during early neurorehabilitation: a case study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
In this study, a patient in the Intensive Care-Unit received robot-based mobilization therapy with an assist-as-needed (AAN) function over the course of three weeks. Therapists were able to adapt the hip range of motion $\beta$, the bed verticalizati...
Robotics Muscle, Skeletal Electromyography Quadriceps Muscle Range of Motion, Articular Humans Neurological Rehabilitation
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Detection thresholds for electrostimulation combined with robotic leg support in sub-acute stroke patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Stroke is one of the leading causes of disability in adults in the European Union. It often leads to motor impairments, such as a hemiparetic lower extremity. Research indicates that early task-specific and intensive training promotes neuroplasticity...
Lower Extremity Stroke Rehabilitation Robotics Humans Adult Leg Electric Stimulation Therapy Electromyography Stroke
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Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Advances in data science and wearable robotic devices present an opportunity to improve rehabilitation outcomes. Some of these devices incorporate electromyography (EMG) electrodes that sense physiological patient activity, making it possible to deve...
Machine Learning Humans Support Vector Machine Electromyography Neural Networks, Computer Activities of Daily Living
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The Effectiveness of Narrowing the Window size for LD & HD EMG Channels based on Novel Deep Learning Wavelet Scattering Transform Feature Extraction Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The use of the Electromyogram (EMG) signals as a source of control to command externally powered prostheses is often challenged by the signal complexity and non-stationary behavior. Mainly, two factors affect classification accuracy: selecting the op...
Wavelet Analysis Electromyography Artificial Limbs Algorithms Deep Learning
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Exploring human activity recognition using feature level fusion of inertial and electromyography data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Wearables are objective tools for human activity recognition (HAR). Advances in wearables enable synchronized multi-sensing within a single device. This has resulted in studies investigating the use of single or multiple wearable sensor modalities fo...
Human Activities Humans Support Vector Machine Electromyography
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