AIMC Topic: Healthy Volunteers

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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 Jul 31, 2024
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...
Humans Augmented Reality Female Healthy Volunteers Male Sitting Position Young Adult Virtual Reality Torso Adult Posture Robotics Postural Balance
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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 Jul 30, 2024
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...
Humans Retrospective Studies Tomography, X-Ray Computed Republic of Korea Female Aorta, Thoracic Deep Learning Aortography Imaging, Three-Dimensional Aged Radiographic Image Interpretation, Computer-Assisted Adult Reference Values Male Healthy Volunteers Middle Aged
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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 Jul 26, 2024
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-...
Middle Aged Deep Learning Muscle, Skeletal Muscle Fatigue Humans Electric Stimulation Therapy Elbow Neural Networks, Computer Aged Electromyography Elbow Joint Stroke Rehabilitation Algorithms Young Adult Stroke Forecasting Adult Healthy Volunteers Female Male Muscle Contraction
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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 Jul 19, 2024
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...
Humans Neural Networks, Computer Algorithms Female Young Adult Adult Male Hand Strength Evoked Potentials, Visual Robotics Electroencephalography Healthy Volunteers Brain-Computer Interfaces
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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 Jul 17, 2024
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 ...
Upper Extremity Robotics Female Healthy Volunteers Young Adult Humans Psychomotor Performance Adult Learning Motor Skills Male Movement
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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 Jul 17, 2024
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...
Sleep, REM Young Adult Adult Male Deep Learning Healthy Volunteers Humans Wakefulness Neural Networks, Computer Pressure Algorithms Polysomnography Female Sleep Stages Nose
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Enhanced Muscle Activation Using Robotic Assistance Within the Electromechanical Delay: Implications for Rehabilitation?

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 10, 2024
Robotic rehabilitation has been shown to match the effects of conventional physical therapy on motor function for patients with neurological diseases. Rehabilitation robots have the potential to reduce therapists' workload in time-intensive training ...
Electromyography Healthy Volunteers Arm Muscle Contraction Neurological Rehabilitation Adult Biomechanical Phenomena Male Muscle, Skeletal Robotics Humans Female Young Adult
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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.) Jul 5, 2024
OBJECTIVE: To propose a deep learning-based low-field mobile MRI strategy for fast, high-quality, unshielded imaging using minimal hardware resources.
Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Equipment Design Healthy Volunteers Brain Humans Female Algorithms Adult Male Deep Learning
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Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T.

Investigative radiology Jul 4, 2024
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.
Humans Algorithms Prospective Studies Magnetic Resonance Imaging Knee Joint Healthy Volunteers Image Interpretation, Computer-Assisted Knee Female Adult Male Deep Learning Image Processing, Computer-Assisted
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Motion robust coronary MR angiography using zigzag centric ky-kz trajectory and high-resolution deep learning reconstruction.

Magma (New York, N.Y.) Jun 25, 2024
PURPOSE: To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric k-k k-space trajectory combined with high-resolution deep learning reconstruction (HR-DLR).
Image Processing, Computer-Assisted Coronary Angiography Feasibility Studies Motion Healthy Volunteers Male Middle Aged Deep Learning Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Coronary Vessels Signal-To-Noise Ratio Magnetic Resonance Angiography Humans Algorithms Female Adult
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