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Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs.
Journal of neuroengineering and rehabilitation
Oct 29, 2018
BACKGROUND: Phase synchrony has extensively been studied for understanding neural coordination in health and disease. There are a few studies concerning the implications in the context of BCIs, but its potential for establishing a communication chann...
An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images.
Journal of healthcare engineering
Oct 29, 2018
In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic three-dimensional (3D) liver vessel segmentation in computed tomography (CT) images. The vessel-enhanced image (i.e., vesselness image) was incorporated into the fu...
Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.
Biological cybernetics
Oct 28, 2018
Template models of legged locomotion are powerful tools for gait analysis, but can also inspire robot design and control. In this paper, a spring-loaded inverted pendulum (SLIP) model is employed to control vertical hopping of a 2-segmented legged ro...
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.
Medical image analysis
Oct 28, 2018
Computer aided diagnosis (CAD) tools help radiologists to reduce diagnostic errors such as missing tumors and misdiagnosis. Vision researchers have been analyzing behaviors of radiologists during screening to understand how and why they miss tumors o...
Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine Learning.
Neuroscience
Oct 28, 2018
Individuals show marked variability in determining to be honest or deceptive in daily life. A large number of studies have investigated the neural substrates of deception; however, the brain networks contributing to the individual differences in dece...
A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Medical physics
Oct 28, 2018
PURPOSE: The purpose of this study was to expedite the contouring process for MRI-guided adaptive radiotherapy (MR-IGART), a convolutional neural network (CNN) deep-learning (DL) model is proposed to accurately segment the liver, kidneys, stomach, bo...
Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.
Computational intelligence and neuroscience
Oct 28, 2018
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. Recent research has shown that nonlinear classification algorithms perform better than their linear counterparts, but most o...
A systematic literature review and classification of knowledge discovery in traditional medicine.
Computer methods and programs in biomedicine
Oct 27, 2018
INTRODUCTION AND OBJECTIVE: Despite the importance of machine learning methods application in traditional medicine there is a no systematic literature review and a classification for this field. This is the first comprehensive literature review of th...
Symptom Assessment
Medicine, Kampo
Medicine, Traditional
Persia
Data Mining
Medicine, Ayurvedic
Plant Preparations
Medicine, Chinese Traditional
Bayes Theorem
Japan
Artificial Intelligence
Machine Learning
Databases, Factual
India
Support Vector Machine
Diagnosis, Computer-Assisted
China
Humans
Neural Networks, Computer
The revised Cerebral Recovery Index improves predictions of neurological outcome after cardiac arrest.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Oct 27, 2018
OBJECTIVE: Analysis of the electroencephalogram (EEG) background pattern helps predicting neurological outcome of comatose patients after cardiac arrest (CA). Visual analysis may not extract all discriminative information. We present predictive value...
Force feasible set prediction with artificial neural network and musculoskeletal model.
Computer methods in biomechanics and biomedical engineering
Oct 27, 2018
Developing tools to predict the force capabilities of the human limbs through the Force Feasible Set (FFS) may be of great interest for robotic assisted rehabilitation and digital human modelling for ergonomics. Indeed, it could help to refine rehabi...
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