AIMC Topic: Wavelet Analysis

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EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.

BioMed research international Apr 18, 2017
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new c...
Humans Neural Networks, Computer Autism Spectrum Disorder Female Electroencephalography Wavelet Analysis Entropy Male Diagnosis, Computer-Assisted Models, Neurological
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Using fuzzy logic for diagnosis and classification of spasticity.

Turkish journal of medical sciences Feb 27, 2017
BACKGROUND/AIM: Spasticity is generally defined as a sensory-motor control disorder. However, there is no pathophysiological mechanism or appropriate measurement and evaluation standards that can explain all aspects of a possible spasticity occurrenc...
Algorithms Female Aged Adult Humans Electromyography Wavelet Analysis Leg Muscle Spasticity Male Middle Aged Fuzzy Logic Muscle, Skeletal
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Evolving Network Model That Almost Regenerates Epileptic Data.

Neural computation Feb 9, 2017
In many realistic networks, the edges representing the interactions between nodes are time varying. Evidence is growing that the complex network that models the dynamics of the human brain has time-varying interconnections, that is, the network is ev...
Humans Neural Networks, Computer Electroencephalography Epilepsy Nonlinear Dynamics Wavelet Analysis Algorithms Brain Time Factors Brain Mapping
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Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.

Computers in biology and medicine Feb 7, 2017
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis proces...
Pattern Recognition, Automated Wavelet Analysis Aged, 80 and over Computer Simulation Young Adult Models, Statistical Male Adult Data Interpretation, Statistical Female Humans Middle Aged Sensitivity and Specificity Heart Failure Reproducibility of Results Machine Learning Diagnosis, Computer-Assisted Aged Algorithms Electrocardiography
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A Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain.

Computational intelligence and neuroscience Feb 5, 2017
Here is proposed a novel method for decomposing a nonstationary time series in components of low and high frequency. The method is based on Multilevel Singular Value Decomposition (MSVD) of a Hankel matrix. The decomposition is used to improve the fo...
Neural Networks, Computer Forecasting Models, Theoretical Accidents, Traffic Wavelet Analysis Humans
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Automatic detection and measurement of nuchal translucency.

Computers in biology and medicine Jan 20, 2017
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main...
Wavelet Analysis Nuchal Translucency Measurement Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Down Syndrome Humans
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Three-Class Mammogram Classification Based on Descriptive CNN Features.

BioMed research international Jan 15, 2017
In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have prese...
Mammography Databases as Topic Wavelet Analysis Reproducibility of Results Image Processing, Computer-Assisted Support Vector Machine Humans Neural Networks, Computer Computer Simulation
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A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.

International journal of neural systems Sep 1, 2016
This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to learn and reproduce arbitrary spike patterns in a supervised fashion allowing the processing of spatiotemporal information encoded in the precise timi...
Cerebral Cortex Wavelet Analysis Neural Inhibition Humans Epilepsy Supervised Machine Learning Neural Networks, Computer Neurons Time Factors Synapses Action Potentials
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Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 30, 2016
Over the past decade, with the development of machine learning, discrete wavelet transform (DWT) has been widely used in computer-aided epileptic electroencephalography (EEG) signal analysis as a powerful time-frequency tool. But some important probl...
Electroencephalography Reproducibility of Results Humans Pattern Recognition, Automated Epilepsy Algorithms Wavelet Analysis Sensitivity and Specificity Signal Processing, Computer-Assisted Brain Diagnosis, Computer-Assisted Nerve Net Brain Mapping
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Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

International journal of neural systems Aug 18, 2016
Currently, there are no developed methods to detect sharp wave transients that exist in the latent phase after hypoxia-ischemia (HI) in the electroencephalogram (EEG) in order to determine if these micro-scale transients are potential biomarkers of H...
Animals Cohort Studies Fuzzy Logic Prenatal Diagnosis Disease Models, Animal Electroencephalography Machine Learning Uncertainty Pregnancy Brain Ischemia Fetal Hypoxia Wavelet Analysis Sheep, Domestic Female Sensitivity and Specificity
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