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Healthy Volunteers

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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 39088505
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...
Adult Algorithms Biomechanical Phenomena Cervical Cord Cervical Vertebrae Electromyography Exoskeleton Device Female Healthy Volunteers Humans Male Muscle, Skeletal Robotics Spinal Cord Injuries Spinal Cord Stimulation Torque Transcutaneous Electric Nerve Stimulation Upper Extremity Young Adult
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Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 39042524
Extended reality (XR) technology combines physical reality with computer synthetic virtuality to deliver immersive experience to users. Virtual reality (VR) and augmented reality (AR) are two subdomains within XR with different immersion levels. Both...
Adult Augmented Reality Female Healthy Volunteers Humans Male Postural Balance Posture Robotics Sitting Position Torso Virtual Reality Young Adult
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MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 39028608
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies, adaptive control of assistive devices like exoskeletons and prostheses, functional electrical stimulation (FES)-based Neuroprostheses, and more. Non-...
Adult Aged Algorithms Deep Learning Elbow Elbow Joint Electric Stimulation Therapy Electromyography Female Forecasting Healthy Volunteers Humans Male Middle Aged Muscle Contraction Muscle Fatigue Muscle, Skeletal Neural Networks, Computer Stroke Stroke Rehabilitation Young Adult
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Direct Comparisons of Upper-Limb Motor Learning Performance Among Three Types of Haptic Guidance With Non-Assisted Condition in Spiral Drawing Task.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 38995712
In robot-assisted rehabilitation, it is unclear which type of haptic guidance is effective for regaining motor function because of the lack of direct comparisons among multiple types of haptic guidance. The objective of this study was to investigate ...
Adult Female Healthy Volunteers Humans Learning Male Motor Skills Movement Psychomotor Performance Robotics Upper Extremity Young Adult
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The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 38980788
In recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time. However, the exist...
Adult Algorithms Brain-Computer Interfaces Electroencephalography Evoked Potentials, Visual Female Hand Strength Healthy Volunteers Humans Male Neural Networks, Computer Robotics Young Adult
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Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 38941194
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold-standard is polysomnography, which utilizes an extensive range of var...
Adult Algorithms Deep Learning Female Healthy Volunteers Humans Male Neural Networks, Computer Nose Polysomnography Pressure Sleep Stages Sleep, REM Wakefulness Young Adult
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Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery 39089448
OBJECTIVE: Segmenting the aorta into zones based on anatomical landmarks is a current trend to better understand interventions for aortic dissection or aneurysm. However, comprehensive reference values for aortic zones are lacking. The aim of this st...
Adult Aged Aorta, Thoracic Aortography Deep Learning Female Healthy Volunteers Humans Imaging, Three-Dimensional Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Reference Values Republic of Korea Retrospective Studies Tomography, X-Ray Computed
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Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources.

Magma (New York, N.Y.) 38967865
OBJECTIVE: To propose a deep learning-based low-field mobile MRI strategy for fast, high-quality, unshielded imaging using minimal hardware resources.
Adult Algorithms Brain Deep Learning Equipment Design Female Healthy Volunteers Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Phantoms, Imaging Signal-To-Noise Ratio
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DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.

Magma (New York, N.Y.) 39112813
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.
Adult Algorithms Cervix Uteri Contrast Media Deep Learning Female Healthy Volunteers Humans Image Enhancement Image Processing, Computer-Assisted Least-Squares Analysis Magnetic Resonance Imaging Neural Networks, Computer Phantoms, Imaging Reproducibility of Results Uterine Cervical Neoplasms
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Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T.

Investigative radiology 38960863
OBJECTIVES: The aim of this study was to compare the image quality of 7 T turbo spin echo (TSE) knee images acquired with varying factors of parallel-imaging acceleration reconstructed with deep learning (DL)-based and conventional algorithms.
Adult Algorithms Deep Learning Female Healthy Volunteers Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Knee Knee Joint Magnetic Resonance Imaging Male Prospective Studies
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