AIMC Topic: Healthy Volunteers

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Assessing Wrist Movement With Robotic Devices.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 5, 2018
Robotic devices have been proposed to meet the rising need for high intensity, long duration, and goal-oriented therapy required to regain motor function after neurological injury. Complementing this application, exoskeletons can augment traditional ...
Humans Healthy Volunteers Psychomotor Performance Movement Exoskeleton Device Wrist Joint Biomechanical Phenomena Robotics Wrist Hand Prosthesis Design
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Acute pain intensity monitoring with the classification of multiple physiological parameters.

Journal of clinical monitoring and computing Jun 26, 2018
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualit...
Respiration Humans Hot Temperature Neural Networks, Computer Acute Pain Area Under Curve Critical Illness Young Adult Galvanic Skin Response Pain Measurement Female Adult Electromyography Male Reproducibility of Results Heart Rate ROC Curve Healthy Volunteers Monitoring, Physiologic
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Reshaping Movement Distributions With Limit-Push Robotic Training.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 21, 2018
High-cost situations need to be avoided. However, occasionally, cost may only be learned by experience. Here, we tested whether an artificially induced unstable and invisible high-cost region, a "limit-push" force field, might reshape people's motion...
Young Adult Adult Male Middle Aged Virtual Reality Humans Algorithms Female Stroke Healthy Volunteers Psychomotor Performance Movement Cohort Studies Stroke Rehabilitation Recovery of Function Robotics Hand
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MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods.
Normal Distribution Humans Healthy Volunteers Neural Networks, Computer Neuroimaging Deep Learning Algorithms Signal-To-Noise Ratio Brain Image Processing, Computer-Assisted Monte Carlo Method Computer Simulation Models, Theoretical Phantoms, Imaging Reproducibility of Results Magnetic Resonance Imaging Adult Male
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Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

JCI insight Apr 5, 2018
BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagnosis and classification of growth hormone deficiency (GHD) can be achieved from a single blood sample using a combination of transcriptomics and rando...
ROC Curve Gene Regulatory Networks Polymorphism, Single Nucleotide Predictive Value of Tests Principal Component Analysis Adolescent Human Growth Hormone Growth Disorders Child, Preschool Child Healthy Volunteers Datasets as Topic Humans Machine Learning Biomarkers Female Male Severity of Illness Index Gene Expression Profiling Transcriptome Case-Control Studies
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Deep learning with domain adaptation for accelerated projection-reconstruction MR.

Magnetic resonance in medicine Feb 4, 2018
Tomography, X-Ray Computed Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Humans Healthy Volunteers Neural Networks, Computer Fourier Analysis Software Algorithms
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Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy.

Magnetic resonance in medicine Feb 1, 2018
Humans Neural Networks, Computer Magnetic Resonance Spectroscopy Normal Distribution Healthy Volunteers Algorithms Brain Artifacts Computer Simulation Deep Learning Gray Matter Image Processing, Computer-Assisted Image Enhancement Signal-To-Noise Ratio
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Respiratory motion correction for free-breathing 3D abdominal MRI using CNN-based image registration: a feasibility study.

The British journal of radiology Jan 31, 2018
OBJECTIVE: Free-breathing abdomen imaging requires non-rigid motion registration of unavoidable respiratory motion in three-dimensional undersampled data sets. In this work, we introduce an image registration method based on the convolutional neural ...
Respiratory-Gated Imaging Techniques Healthy Volunteers Image Interpretation, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Imaging, Three-Dimensional Humans Abdomen Neural Networks, Computer Magnetic Resonance Imaging Female Feasibility Studies Adult Motion Male
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Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

European journal of pain (London, England) Jan 16, 2018
BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has been the multimodal distribution of human cold pain thresholds. This study aimed at analysing reprod...
Pain Young Adult Humans Healthy Volunteers Adult TRPA1 Cation Channel Cold Temperature Machine Learning Male Pain Threshold Female Middle Aged Pain Perception Adolescent Reproducibility of Results
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Motor modules during adaptation to walking in a powered ankle exoskeleton.

Journal of neuroengineering and rehabilitation Jan 3, 2018
BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to identify key features of muscle coordination. These features may provide insight into gait adaptation as...
Healthy Volunteers Ankle Joint Motor Skills Humans Muscle, Skeletal Exoskeleton Device Young Adult Adaptation, Physiological Robotics Biomechanical Phenomena Electromyography Male Walking Gait
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