AIMC Topic: Forearm

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A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG 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, 2024
For seemless control of advanced hand prostheses and augmented reality, accurate and immediate hand gestures recognition is essential. Surface electromyography (sEMG) signals obtained from the forearm are commonly employed for this purpose. In this p...
Algorithms Male Gestures Neural Networks, Computer Machine Learning Pattern Recognition, Automated Forearm Graph Neural Networks Hand Electromyography Signal Processing, Computer-Assisted Humans
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Development of the Biomech-Wrist: A 3-DOF Exoskeleton for Rehabilitation and Training of Human Wrist.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sep 1, 2023
This work describes a three-degrees-of-freedom rehabilitation exoskeleton robot for wrist articulation movement: the Biomech-Wrist. The proposed development includes the design requirements based on the biomechanics and anthropometric features of the...
Forearm Exoskeleton Device Humans Wrist Joint Robotics Wrist Upper Extremity
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Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images.

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 main challenge in adopting deep learning models is limited data for training, which can lead to poor generalization and a high risk of overfitting, particularly when detecting forearm abnormalities in X-ray images. Transfer learning from ImageNet...
Machine Learning Deep Learning Radiography Forearm X-Rays
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Electromyography Signal Analysis and Classification using Time-Frequency Representations and Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Analysis and classification of electromyography (EMG) signals are crucial for rehabilitation and motor control. This study investigates electromyogram (EMG) time-frequency representations and then creates conventional and deep learning models for EMG...
Neural Networks, Computer Deep Learning Hand Humans Electromyography Forearm
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Integration of Forearm sEMG Signals with IMU Sensors for Trajectory Planning and Control of Assistive Robotic Arm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Patients with issues such as cerebral palsy, spinal cord injury, and multiple sclerosis have difficulties with activities of daily living (ADL). Their abilities to perform tasks can be improved through vigorous physical therapy. When that therapy is ...
Humans Electromyography Activities of Daily Living Self-Help Devices Forearm Quality of Life Robotics
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Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand 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, 2019
Brain-computer interface (BCI) is an important tool for rehabilitation and control of an external device (e.g., robot arm or home appliances). Fully reconstruction of upper limb movement from brain signals is one of the critical issues for intuitive ...
Forearm Imagination Humans Brain-Computer Interfaces Robotics Movement Hand Rotation Electroencephalography
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Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Although myoelectric pattern recognition (MPR) has been considered as a milestone technique to enable dexterous control of multiple degrees of freedom, outlier data interference (i.e., novelty) is a big issue affecting stability of conventional MPR c...
Forearm Neural Networks, Computer Algorithms Electrodes Pattern Recognition, Automated Electromyography Humans
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Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on clinicians. However, the physical human robot interaction poses a major safety issue, as the close p...
Robotics Activities of Daily Living Forearm Proof of Concept Study Humans
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Preservation of hand movement representation in the sensorimotor areas of amputees.

Brain : a journal of neurology Dec 1, 2017
Denervation due to amputation is known to induce cortical reorganization in the sensorimotor cortex. Although there is evidence that reorganization does not lead to a complete loss of the representation of the phantom limb, it is unclear to what exte...
Phantom Limb Male Humans Sensorimotor Cortex Middle Aged Female Amputation, Surgical Case-Control Studies Aged Motor Cortex Young Adult Magnetic Resonance Imaging Machine Learning Functional Neuroimaging Adult Hand Time Factors Forearm
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Design and control of a 3-DOF rehabilitation robot for forearm and wrist.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
This paper presents a 3-DOF compact rehabilitation robot, involving mechanical structure design, control system design and gravity compensation analysis. The robot can simultaneously provide assistance for pronation/supination(P/S), flexion/extension...
Supination Humans Wrist Forearm Robotics Wrist Joint
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