Wavelet applications in medicine

Authors:
Metin Akay
Affiliations:
-
Venue:
IEEE Spectrum
Year:
1997

Citing 0
Cited 28

Wavelet-Based Neural Network Analysis of Internal Carotid Arterial Doppler Signals

Journal of Medical Systems
A decision support system based on support vector machines for diagnosis of the heart valve diseases

Computers in Biology and Medicine
EEG signal classification using wavelet feature extraction and a mixture of expert model

Expert Systems with Applications: An International Journal
Backpropagation Artificial Neural Network Classifier to Detect Changes in Heart Sound due to Mitral Valve Regurgitation

Journal of Medical Systems
Wavelet/mixture of experts network structure for EEG signals classification

Expert Systems with Applications: An International Journal
A novel approach for digital radio signal classification: Wavelet packet energy-multiclass support vector machine (WPE-MSVM)

Expert Systems with Applications: An International Journal
Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study

Digital Signal Processing
Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM

Expert Systems with Applications: An International Journal
Using combination of support vector machines for automatic analog modulation recognition

Expert Systems with Applications: An International Journal
An expert system based on least square support vector machines for diagnosis of the valvular heart disease

Expert Systems with Applications: An International Journal
Combined neural network model employing wavelet coefficients for EEG signals classification

Digital Signal Processing
Statistics over features of ECG signals

Expert Systems with Applications: An International Journal
Analysis of spike-wave discharges in rats using discrete wavelet transform

Computers in Biology and Medicine
Statistics over features: EEG signals analysis

Computers in Biology and Medicine
Review: Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform

Expert Systems with Applications: An International Journal
Feature extraction from Doppler ultrasound signals for automated diagnostic systems

Computers in Biology and Medicine
A modified mixture of experts network structure for ECG beats classification with diverse features

Engineering Applications of Artificial Intelligence
Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for Doppler ultrasound signals

Engineering Applications of Artificial Intelligence
Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for ECG beats

Expert Systems with Applications: An International Journal
Intelligent target recognition based on wavelet packet neural network

Expert Systems with Applications: An International Journal
Short Communication: EEG signals classification using the K-means clustering and a multilayer perceptron neural network model

Expert Systems with Applications: An International Journal
Intelligent target recognition based on wavelet adaptive network based fuzzy inference system

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
A Biomedical Decision Support System Using LS-SVM Classifier with an Efficient and New Parameter Regularization Procedure for Diagnosis of Heart Valve Diseases

Journal of Medical Systems
Classification of EMG signals using combined features and soft computing techniques

Applied Soft Computing
Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines

Computers in Biology and Medicine
An efficient digital mammogram image classification using DTCWT and SVM

Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

Computers in Biology and Medicine
Path length entropy analysis of diastolic heart sounds

Computers in Biology and Medicine

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Abstract

The author describes how, because of their compatibility with nonstationary random processes, wavelet transforms are particularly powerful when it comes to analyzing biomedical signals. In this paper, he presents a brief survey of the field which makes this fact clear. Applications discussed include detecting coronary artery disease, and heart sounds related to turbulent blood flow analysis