AIMC Topic: Healthy Volunteers

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From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements. We developed two artifi...
Elbow Elbow Joint Electromyography Muscle Fatigue Torque Young Adult Transfer, Psychology Humans Adult Healthy Volunteers Neural Networks, Computer Biomechanical Phenomena Algorithms Male Computer Simulation Muscle, Skeletal Female
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Detection of Low Resilience Using Data-Driven Effective Connectivity Measures.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 1, 2024
Conventional thresholding techniques for graph theory analysis, such as absolute, proportional and mean degree, have often been used in characterizing human brain networks under different mental disorders, such as mental stress. However, these approa...
Stress, Psychological Support Vector Machine Electroencephalography Healthy Volunteers Nerve Net Humans Reproducibility of Results Algorithms Young Adult Brain Adult Female Male Resilience, Psychological
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Decoding Multi-Class Motor Imagery From Unilateral Limbs Using EEG Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 17, 2024
The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in applications like stroke rehabilitation. Current research predominantly concentrates on the bila...
Imagination Healthy Volunteers Brain-Computer Interfaces Movement Upper Extremity Female Humans Stroke Rehabilitation Young Adult Machine Learning Adult Algorithms Male Electroencephalography
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A Novel Bilateral Underactuated Upper Limb Exoskeleton for Post-Stroke Bimanual ADL Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 16, 2024
This paper introduces a lightweight bilateral underactuated upper limb exoskeleton (UULE) designed to assist chronic stroke patients with distal joint (Elbow-Wrist) impairments during bimanual activities of daily living (ADL). The UULE aims to assist...
Humans Female Adult Upper Extremity Stroke Biomechanical Phenomena Stroke Rehabilitation Activities of Daily Living Male Healthy Volunteers Robotics Range of Motion, Articular Equipment Design Exoskeleton Device Electromyography
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Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 28, 2024
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, ...
Young Adult Adult Male Deep Learning Gestures Posture Discriminant Analysis Hand Electromyography Healthy Volunteers Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated Female
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Digital Biomarker for Muscle Function Assessment Using Surface Electromyography With Electrical Stimulation and a Non-Invasive Wearable Device.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2024
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass with age, accompanied by the loss of muscle strength and muscle dysfunction. Individuals with unmanaged sarcopenia may experience adverse outcomes. P...
Motor Neurons Deep Learning Wearable Electronic Devices Action Potentials Sarcopenia Female Humans Muscle, Skeletal Neural Networks, Computer Young Adult Algorithms Electromyography Adult Biomarkers Healthy Volunteers Male Muscle Contraction Middle Aged Wavelet Analysis Electric Stimulation
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Assessing Consciousness in Patients With Disorders of Consciousness Using a Musical Stimulation Paradigm and Verifiable Criteria.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 20, 2024
Numerous studies have shown that musical stimulation can activate corresponding functional brain areas. Electroencephalogram (EEG) activity during musical stimulation can be used to assess the consciousness states of patients with disorders of consci...
Electroencephalography Healthy Volunteers Consciousness Aged Acoustic Stimulation Young Adult Entropy Adult Male Music Middle Aged Persistent Vegetative State Consciousness Disorders Humans Neural Networks, Computer Algorithms Female
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Assessing the Effect of Cervical Transcutaneous Spinal Stimulation With an Upper Limb Robotic Exoskeleton and Surface Electromyography.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 14, 2024
Transcutaneous spinal stimulation (TSS) is a promising rehabilitative intervention to restore motor function and coordination for individuals with spinal cord injury (SCI). The effects of TSS are most commonly assessed by evaluating muscle response t...
Muscle, Skeletal Robotics Cervical Vertebrae Electromyography Torque Female Young Adult Adult Biomechanical Phenomena Male Transcutaneous Electric Nerve Stimulation Spinal Cord Stimulation Healthy Volunteers Cervical Cord Spinal Cord Injuries Exoskeleton Device Upper Extremity Humans Algorithms
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DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.

Magma (New York, N.Y.) Aug 8, 2024
INTRODUCTION: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption.
Neural Networks, Computer Algorithms Female Reproducibility of Results Adult Humans Cervix Uteri Least-Squares Analysis Healthy Volunteers Image Enhancement Phantoms, Imaging Uterine Cervical Neoplasms Deep Learning Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging
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BrainSegFounder: Towards 3D foundation models for neuroimage segmentation.

Medical image analysis Aug 8, 2024
The burgeoning field of brain health research increasingly leverages artificial intelligence (AI) to analyze and interpret neuroimaging data. Medical foundation models have shown promise of superior performance with better sample efficiency. This wor...
Healthy Volunteers Image Interpretation, Computer-Assisted Neuroimaging UK Biobank Humans Brain Computer Simulation Brain Neoplasms Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Multimodal Imaging
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