AIMC Topic: Wavelet Analysis

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Semi-dilated convolutional neural networks for epileptic seizure prediction.

Neural networks : the official journal of the International Neural Network Society Mar 17, 2021
Epilepsy is a neurological brain disorder that affects ∼75 million people worldwide. Predicting epileptic seizures holds great potential for improving the quality of life of people with epilepsy, but seizure prediction solely from the Electroencephal...
Wavelet Analysis Brain Electroencephalography Seizures Humans Neural Networks, Computer
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Classification of red blood cell aggregation using empirical wavelet transform analysis of ultrasonic radiofrequency echo signals.

Ultrasonics Mar 6, 2021
Grading red blood cell (RBC) aggregation is important for the early diagnosis and prevention of related diseases such as ischemic cardio-cerebrovascular disease, type II diabetes, deep vein thrombosis, and sickle cell disease. In this study, a machin...
Machine Learning Animals Wavelet Analysis Swine Radio Waves Support Vector Machine Erythrocyte Aggregation Ultrasonics
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Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA-NNAR hybrid model.

PloS one Feb 5, 2021
BACKGROUND: Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that is associated with high morbidity. Reliable forecasting is crucial for prevention and control. Recently, hybrid models have become popular, and wavele...
Wavelet Analysis Hand, Foot and Mouth Disease Morbidity Seasons Nonlinear Dynamics Forecasting Databases, Factual Humans China Neural Networks, Computer Incidence Child Models, Statistical
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Clinical outcome prediction from analysis of microelectrode recordings using deep learning in subthalamic deep brain stimulation for Parkinson`s disease.

PloS one Jan 26, 2021
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for improving the motor symptoms of advanced Parkinson's disease (PD). Accurate positioning of the stimulation electrodes is necessary for better clin...
Area Under Curve Anesthesia, General Deep Brain Stimulation ROC Curve Treatment Outcome Parkinson Disease Wavelet Analysis Microelectrodes Subthalamic Nucleus Female Aged Male Middle Aged Severity of Illness Index Deep Learning Humans
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Cardiac Severity Classification Using Pre Trained Neural Networks.

Interdisciplinary sciences, computational life sciences Jan 22, 2021
Electrocardiogram (ECG) is the most effective instrument for making decisions about various forms of heart disease. As a result, several researchers have focused on the ECG signal to extract the features of heartbeats with high precision and efficien...
Humans Neural Networks, Computer Algorithms Databases, Factual Electrocardiography Wavelet Analysis
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Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior.

Computational and mathematical methods in medicine Jan 20, 2021
Deep learning has shown potential in significantly improving performance for undersampled magnetic resonance (MR) image reconstruction. However, one challenge for the application of deep learning to clinical scenarios is the requirement of large, hig...
Algorithms Databases, Factual Brain Data Compression Humans Deep Learning Image Interpretation, Computer-Assisted Computational Biology Magnetic Resonance Imaging Image Enhancement Wavelet Analysis
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An optimal brain tumor detection by convolutional neural network and Enhanced Sparrow Search Algorithm.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jan 13, 2021
Precise and timely detection of brain tumor area has a very high effect on the selection of medical care, its success rate and following the disease process during treatment. Existing algorithms for brain tumor diagnosis have problems in terms of bet...
Brain Brain Neoplasms Image Processing, Computer-Assisted Wavelet Analysis Humans Neural Networks, Computer Algorithms
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Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation.

Computers in biology and medicine Dec 13, 2020
BACKGROUND AND OBJECTIVE: Long-term electrocardiogram monitoring comes at the expense of signal quality. During unconstrained movements, the electrocardiogram is often corrupted by motion artefacts, which can lead to inaccurate physiological informat...
Support Vector Machine Wavelet Analysis Machine Learning Reproducibility of Results Electrocardiography
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Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.

Computer methods in biomechanics and biomedical engineering Nov 27, 2020
An Electroencephalogram (EEG) is often tarnished by various categories of artifacts. Numerous efforts have been taken to improve its quality by eliminating the artifacts. The EEG involves the biological artifacts (ocular artifacts, ECG and EMG artifa...
Neural Networks, Computer Algorithms Electroencephalography Humans Entropy Signal Processing, Computer-Assisted Eye Artifacts Lifting Wavelet Analysis
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A Novel Method for Sleep-Stage Classification Based on Sonification of Sleep Electroencephalogram Signals Using Wavelet Transform and Recurrent Neural Network.

European neurology Oct 29, 2020
INTRODUCTION: Visual sleep-stage scoring is a time-consuming technique that cannot extract the nonlinear characteristics of electroencephalogram (EEG). This article presents a novel method for sleep-stage differentiation based on sonification of slee...
Music Adult Sleep Stages Female Male Adolescent Humans Reproducibility of Results Middle Aged Electroencephalography Neural Networks, Computer Young Adult Wavelet Analysis Databases, Factual
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