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Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.

Journal of biomechanics Jun 18, 2018
Wearable technology has been viewed as one of the plausible alternatives to capture human motion in an unconstrained environment, especially during running. However, existing methods require kinematic and kinetic measurements of human body segments a...
(2)
Accelerometry Wearable Electronic Devices Exercise Test Running Biomechanical Phenomena Male Neural Networks, Computer Humans Young Adult Adult
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Impact of Sliding Window Length in Indoor Human Motion Modes and Pose Pattern Recognition Based on Smartphone Sensors.

Sensors (Basel, Switzerland) Jun 18, 2018
Human activity recognition (HAR) is essential for understanding people’s habits and behaviors, providing an important data source for precise marketing and research in psychology and sociology. Different approaches have been proposed and applie...
(1)
Machine Learning Smartphone Support Vector Machine Humans Pattern Recognition, Automated Posture Movement Bayes Theorem
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Rough sets and Laplacian score based cost-sensitive feature selection.

PloS one Jun 18, 2018
Cost-sensitive feature selection learning is an important preprocessing step in machine learning and data mining. Recently, most existing cost-sensitive feature selection algorithms are heuristic algorithms, which evaluate the importance of each feat...
Models, Statistical Heuristics Pattern Recognition, Automated Algorithms Data Mining Humans Machine Learning Computational Biology Artificial Intelligence
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Classification of pressure ulcer tissues with 3D convolutional neural network.

Medical & biological engineering & computing Jun 15, 2018
A 3D convolution neural network (CNN) of deep learning architecture is supplied with essential visual features to accurately classify and segment granulation, necrotic eschar, and slough tissues in pressure ulcer color images. After finding a region ...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Pressure Ulcer Neural Networks, Computer Color Algorithms
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Comment to «Robot-assisted pudendal neurolysis in the treatment of pudendal nerve entrapment syndrome».

Actas urologicas espanolas Jun 15, 2018
Robotics Decompression, Surgical Pudendal Neuralgia Pudendal Nerve Humans
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Quantitative susceptibility mapping using deep neural network: QSMnet.

NeuroImage Jun 15, 2018
Deep neural networks have demonstrated promising potential for the field of medical image reconstruction, successfully generating high quality images for CT, PET and MRI. In this work, an MRI reconstruction algorithm, which is referred to as quantita...
Brain Female Aged Neural Networks, Computer Humans Algorithms Middle Aged Adult Image Processing, Computer-Assisted Male Brain Mapping
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Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience.

Neural networks : the official journal of the International Neural Network Society Jun 15, 2018
In line with the sensorimotor contingency theory, we investigate the problem of the perception of space from a fundamental sensorimotor perspective. Despite its pervasive nature in our perception of the world, the origin of the concept of space remai...
Humans Robotics Arm Models, Neurological Space Perception Feedback, Sensory
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3D freehand ultrasound without external tracking using deep learning.

Medical image analysis Jun 15, 2018
This work aims at creating 3D freehand ultrasound reconstructions from 2D probes with image-based tracking, therefore not requiring expensive or cumbersome external tracking hardware. Existing model-based approaches such as speckle decorrelation only...
Ultrasonography Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Algorithms Deep Learning
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Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

Medical image analysis Jun 15, 2018
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time as morphological changes in these structures are related to different neurodegenerative disorders. Howev...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Algorithms Imaging, Three-Dimensional Humans Neural Networks, Computer
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Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.

Computers in biology and medicine Jun 15, 2018
OBJECTIVE: The objective of this study was to assess the contribution of multi-parametric (mp) magnetic resonance imaging (MRI) quantitative features in the machine learning-based grading of gliomas with a multi-region-of-interests approach.
Glioma Support Vector Machine Neoplasm Grading Male Middle Aged Diffusion Magnetic Resonance Imaging Humans Female Adult Brain Neoplasms Aged
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