AIMC Topic: Healthy Volunteers

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Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.

Magnetic resonance in medicine Oct 31, 2024
PURPOSE: External physiological monitoring is the primary approach to measure and remove effects of low-frequency respiratory variation from BOLD-fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always poss...
Connectome Head Movements Motion Healthy Volunteers Rest Head Respiration Neural Networks, Computer Humans Machine Learning Algorithms Brain Female Young Adult Adult Male Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were few studies on neural activity changes in the brain during execution. This study aimed to investigat...
Adult Male Middle Aged Pilot Projects Healthy Volunteers Virtual Reality Humans Spectroscopy, Near-Infrared Stroke Rehabilitation Hand Strength Prefrontal Cortex Brain Motor Cortex Robotics Female Occipital Lobe Hand Aged Young Adult
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Deep learning-based whole-brain B -mapping at 7T.

Magnetic resonance in medicine Oct 27, 2024
PURPOSE: This study investigates the feasibility of using complex-valued neural networks (NNs) to estimate quantitative transmit magnetic RF field (B ) maps from multi-slice localizer scans with different slice orientations in the human head at 7T, a...
Humans Male Neural Networks, Computer Deep Learning Brain Algorithms Female Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Young Adult Adult Brain Mapping 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...
Electromyography Torque Healthy Volunteers Muscle Fatigue Algorithms Transfer, Psychology Computer Simulation Biomechanical Phenomena Humans Female Male Neural Networks, Computer Young Adult Muscle, Skeletal Adult Elbow Elbow Joint
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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...
Adult Electroencephalography Male Algorithms Healthy Volunteers Humans Resilience, Psychological Nerve Net Brain Stress, Psychological Female Support Vector Machine Reproducibility of Results Young Adult
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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...
Humans Machine Learning Algorithms Female Young Adult Adult Male Electroencephalography Healthy Volunteers Brain-Computer Interfaces Movement Upper Extremity Stroke Rehabilitation Imagination
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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 Biomechanical Phenomena Male Robotics Range of Motion, Articular Exoskeleton Device Upper Extremity Stroke Rehabilitation Equipment Design Electromyography Stroke Activities of Daily Living Healthy Volunteers
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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, ...
Male Deep Learning Neural Networks, Computer Gestures Algorithms Humans Pattern Recognition, Automated Hand Posture Female Discriminant Analysis Electromyography Young Adult Healthy Volunteers Adult
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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...
Sarcopenia Muscle, Skeletal Electromyography Male Healthy Volunteers Middle Aged Humans Muscle Contraction Wavelet Analysis Deep Learning Neural Networks, Computer Electric Stimulation Wearable Electronic Devices Algorithms Motor Neurons Action Potentials Biomarkers Female Young Adult Adult
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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...
Male Middle Aged Electroencephalography Healthy Volunteers Consciousness Algorithms Female Aged Young Adult Adult Acoustic Stimulation Entropy Music Persistent Vegetative State Consciousness Disorders Humans Neural Networks, Computer
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