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Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients.

Journal of healthcare engineering Apr 3, 2018
Motor imagery-based brain-computer interfaces (BCI) have shown potential for the rehabilitation of stroke patients; however, low performance has restricted their application in clinical environments. Therefore, this work presents the implementation o...
Imagination Hand Female Robotics Brain-Computer Interfaces Aged Adult Electroencephalography Stroke Rehabilitation Young Adult Signal Processing, Computer-Assisted Male Humans Middle Aged Algorithms
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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

PloS one Apr 3, 2018
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure cannot be identified, endomyocardial biopsy (EMB) represents the gold-standard for the evaluation of disease. However, manual EMB interpretation has ...
Male Middle Aged Biopsy Heart Failure Image Interpretation, Computer-Assisted Female Humans Aged Neural Networks, Computer Adult Databases, Factual
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Neonatal Seizure Detection Using Deep Convolutional Neural Networks.

International journal of neural systems Apr 2, 2018
Identifying a core set of features is one of the most important steps in the development of an automated seizure detector. In most of the published studies describing features and seizure classifiers, the features were hand-engineered, which may not ...
(1)
Humans Neural Networks, Computer Electroencephalography Seizures Algorithms Infant, Newborn Deep Learning
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Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.

IEEE transactions on bio-medical engineering Apr 2, 2018
OBJECTIVE: Accelerated magnetic resonance (MR) image acquisition with compressed sensing (CS) and parallel imaging is a powerful method to reduce MR imaging scan time. However, many reconstruction algorithms have high computational costs. To address ...
(1)
Artifacts Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Brain
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Experimental validation of robot-assisted cardiovascular catheterization: model-based versus model-free control.

International journal of computer assisted radiology and surgery Apr 2, 2018
PURPOSE: In cardiac electrophysiology, a long and flexible catheter is delivered to a cardiac chamber for the treatment of arrhythmias. Although several robot-assisted platforms have been commercialized, the disorientation in tele-operation is still ...
(2)
Humans Printing, Three-Dimensional Cardiac Catheters Robotics Adult Arrhythmias, Cardiac Surgery, Computer-Assisted Female Male Reproducibility of Results Catheter Ablation Models, Theoretical Young Adult Cardiac Catheterization
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Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data.

Arthritis & rheumatology (Hoboken, N.J.) Apr 2, 2018
OBJECTIVE: In this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovial tissue by training with gene expression data and machine learning.
Female Aged Male Humans Machine Learning Sequence Analysis, RNA Synovial Membrane Osteoarthritis Middle Aged Gene Expression Profiling Arthritis, Rheumatoid
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Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models.

PloS one Apr 2, 2018
Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city-São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in ...
Population Surveillance Reproducibility of Results Seasons Humans Neural Networks, Computer Brazil Dengue Models, Statistical Algorithms Forecasting
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A Review of Robotics in Neurorehabilitation: Towards an Automated Process for Upper Limb.

Journal of healthcare engineering Apr 1, 2018
Robot-mediated neurorehabilitation is a growing field that seeks to incorporate advances in robotics combined with neuroscience and rehabilitation to define new methods for treating problems related with neurological diseases. In this paper, a system...
Humans Prospective Studies Upper Extremity Stroke Rehabilitation Neurological Rehabilitation Recovery of Function Robotics Nervous System Diseases
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A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning.

Forensic science international. Genetics Mar 31, 2018
The interpretation of genetic profiles require a robust and reliable method to discriminate true allelic information from noise, regardless of the instrumentation or methods used. Traditionally, static peak detection thresholds (analytical thresholds...
Artifacts DNA Fingerprinting Alleles Electrophoresis, Capillary Humans Machine Learning Algorithms
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Deep Learning in Radiology.

Academic radiology Mar 30, 2018
As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data processing techniques. One such technique, deep learning (DL), has become a remarkably powerful tool for image processing in recent years. In this work, ...
Deep Learning Image Processing, Computer-Assisted Radiology Humans
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