AIMC Topic: Upper Extremity

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ATST-Net: A method to identify early symptoms in the upper and lower extremities of PD.

Medical engineering & physics Apr 19, 2024
Bradykinesia, a core symptom of motor disorders in Parkinson's disease (PD), is a major criterion for screening early PD patients in clinical practice. Currently, many studies have proposed automatic assessment schemes for bradykinesia in PD. However...
Humans Middle Aged Lower Extremity Parkinson Disease Upper Extremity Aged Male Neural Networks, Computer Female
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Socially Assistive Robot for Stroke Rehabilitation: A Long-Term in-the-Wild Pilot Randomized Controlled Trial.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 19, 2024
Socially assistive robots (SARs) have been suggested as a platform for post-stroke training. It is not yet known whether long-term interaction with a SAR can lead to an improvement in the functional ability of individuals post-stroke. The aim of this...
Treatment Outcome Recovery of Function Quality of Life Pilot Projects Upper Extremity Stroke Rehabilitation Robotics Stroke Humans
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The limitations of automatically generated curricula for continual learning.

PloS one Apr 16, 2024
In many applications, artificial neural networks are best trained for a task by following a curriculum, in which simpler concepts are learned before more complex ones. This curriculum can be hand-crafted by the engineer or optimised like other hyperp...
Curriculum Neural Networks, Computer Humans Upper Extremity Benchmarking Education, Continuing
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Unsupervised robot-assisted rehabilitation after stroke: feasibility, effect on therapy dose, and user experience.

Journal of neuroengineering and rehabilitation Apr 9, 2024
BACKGROUND: Unsupervised robot-assisted rehabilitation is a promising approach to increase the dose of therapy after stroke, which may help promote sensorimotor recovery without requiring significant additional resources and manpower. However, the un...
Robotics Stroke Humans Recovery of Function Upper Extremity Stroke Rehabilitation Feasibility Studies Exercise Therapy
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Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots.

Sensors (Basel, Switzerland) Mar 25, 2024
The implementation of a progressive rehabilitation training model to promote patients' motivation efforts can greatly restore damaged central nervous system function in patients. Patients' active engagement can be effectively stimulated by assist-as-...
Movement Upper Extremity Robotics Motion Humans Algorithms
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Within-Session Reliability of fNIRS in Robot-Assisted Upper-Limb Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 25, 2024
Functional near-infrared spectroscopy (fNIRS) seems opportune for neurofeedback in robot-assisted rehabilitation training due to its noninvasive, less physical restriction, and no electromagnetic disturbance. Previous research has proved the cross-se...
Upper Extremity Spectroscopy, Near-Infrared Robotics Humans Reproducibility of Results
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ANYmal parkour: Learning agile navigation for quadrupedal robots.

Science robotics Mar 13, 2024
Performing agile navigation with four-legged robots is a challenging task because of the highly dynamic motions, contacts with various parts of the robot, and the limited field of view of the perception sensors. Here, we propose a fully learned appro...
Upper Extremity Learning Robotics Motion Locomotion
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A Physics-Informed Low-Shot Adversarial Learning for sEMG-Based Estimation of Muscle Force and Joint Kinematics.

IEEE journal of biomedical and health informatics Mar 6, 2024
Muscle force and joint kinematics estimation from surface electromyography (sEMG) are essential for real-time biomechanical analysis of the dynamic interplay among neural muscle stimulation, muscle dynamics, and kinetics. Recent advances in deep neur...
Neural Networks, Computer Biomechanical Phenomena Humans Muscles Electromyography Upper Extremity
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Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.

Neural networks : the official journal of the International Neural Network Society Feb 28, 2024
Graph Neural Networks (GNNs) are a large class of relational models for graph processing. Recent theoretical studies on the expressive power of GNNs have focused on two issues. On the one hand, it has been proven that GNNs are as powerful as the Weis...
Neural Networks, Computer Upper Extremity
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Multi Degree of Freedom Hybrid FES and Robotic Control of the Upper Limb.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 28, 2024
Individuals who have suffered a spinal cord injury often require assistance to complete daily activities, and for individuals with tetraplegia, recovery of upper-limb function is among their top priorities. Hybrid functional electrical stimulation (F...
Humans Robotics Robotic Surgical Procedures Exoskeleton Device Upper Extremity Spinal Cord Injuries Electric Stimulation
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