AIMC Topic: Wavelet Analysis

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Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.

International journal of neural systems May 3, 2016
A novel technique of quantitative EEG for differentiating patients with early-stage Creutzfeldt-Jakob disease (CJD) from other forms of rapidly progressive dementia (RPD) is proposed. The discrimination is based on the extraction of suitable features...
Female Aged Sensitivity and Specificity Male Humans Brain Retrospective Studies Electroencephalography Alzheimer Disease Wavelet Analysis Creutzfeldt-Jakob Syndrome Middle Aged Disease Progression Support Vector Machine Diagnosis, Differential
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Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.

Journal of medical systems Feb 27, 2016
In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in diagnosis of heart arrhythmia. Discrete wavelet transform (DWT) is used to decompose ECG signals into different successive frequency bands. A set of ...
Image Processing, Computer-Assisted Electrocardiography Decision Trees Principal Component Analysis Arrhythmias, Cardiac Heart Rate Wavelet Analysis Humans Machine Learning Databases, Factual ROC Curve
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Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Computational and mathematical methods in medicine Jan 26, 2016
An automatic method is presented for detecting myocardial ischemia, which can be considered as the early symptom of acute coronary events. Myocardial ischemia commonly manifests as ST- and T-wave changes on ECG signals. The methods in this study are ...
Pattern Recognition, Automated Myocardial Ischemia Wavelet Analysis Electrocardiography Support Vector Machine Europe Automation Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Humans Algorithms
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Oil species identification technique developed by Gabor wavelet analysis and support vector machine based on concentration-synchronous-matrix-fluorescence spectroscopy.

Marine pollution bulletin Jan 13, 2016
Concentration-synchronous-matrix-fluorescence (CSMF) spectroscopy was applied to discriminate the oil species by characterizing the concentration dependent fluorescence properties of petroleum related samples. Seven days weathering experiment of 3 cr...
Wavelet Analysis Petroleum Petroleum Pollution Water Pollutants, Chemical Principal Component Analysis Spectrometry, Fluorescence Fluorescence China Environmental Monitoring Support Vector Machine
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Wavelet-based unsupervised learning method for electrocardiogram suppression in surface electromyograms.

Medical engineering & physics Jan 13, 2016
We present a novel approach aimed at removing electrocardiogram (ECG) perturbation from single-channel surface electromyogram (EMG) recordings by means of unsupervised learning of wavelet-based intensity images. The general idea is to combine the sui...
Humans Electrocardiography Unsupervised Machine Learning Signal Processing, Computer-Assisted Electromyography Wavelet Analysis
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A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

Computer methods and programs in biomedicine Jan 12, 2016
Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and difficult process. Generally...
Humans Wavelet Analysis Neural Networks, Computer Algorithms Automation
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Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Computational and mathematical methods in medicine Nov 24, 2015
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric disorders (e.g., Alzheimer's disease, Parkinson's diseases, and autism). In this paper, we have proposed...
Microscopy, Confocal Cells, Cultured Humans Computational Biology Animals Pattern Recognition, Automated Neural Networks, Computer Rats Imaging, Three-Dimensional Wavelet Analysis Algorithms Image Processing, Computer-Assisted Dendritic Spines
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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Adult Biomechanical Phenomena Male Middle Aged Case-Control Studies Time Factors Support Vector Machine Humans Female Reproducibility of Results Image Interpretation, Computer-Assisted Aged Voice Disorders Pattern Recognition, Automated Predictive Value of Tests Laryngoscopy Wavelet Analysis Larynx Principal Component Analysis Vocal Cords Vibration Voice Quality Video Recording Phonation
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An automatic method for arterial pulse waveform recognition using KNN and SVM classifiers.

Medical & biological engineering & computing Sep 24, 2015
The measurement and analysis of the arterial pulse waveform (APW) are the means for cardiovascular risk assessment. Optical sensors represent an attractive instrumental solution to APW assessment due to their truly non-contact nature that makes the m...
Support Vector Machine Optics and Photonics Equipment Design Pulse Signal Processing, Computer-Assisted Arteries Humans Wavelet Analysis
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Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations.

Journal of medical systems Aug 15, 2015
The muscle fatigue can be expressed as decrease in maximal voluntary force generating capacity of the neuromuscular system as a result of peripheral changes at the level of the muscle, and also failure of the central nervous system to drive the moton...
Male Muscle, Skeletal Exercise Test Electromyography Neural Networks, Computer Algorithms Young Adult Wavelet Analysis Muscle Fatigue Humans
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