Wavelets and fuzzy relational classifiers: A novel spectroscopy analysis system for pediatric metabolic brain diseases

Authors:
S. Zarei Mahmoodabadi;J. Alirezaie;P. Babyn;A. Kassner;E. Widjaja
Affiliations:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada and Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada;Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada;Department of Medical Imaging, University of Toronto, Toronto, Canada;Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
Venue:
Fuzzy Sets and Systems
Year:
2010

Citing 13
Cited 2

Fuzzy systems theory and its applications

Fuzzy systems theory and its applications
Ten lectures on wavelets

Ten lectures on wavelets
Neural network and fuzzy logic applications in C/C++

Neural network and fuzzy logic applications in C/C++
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Survey of utilisation of fuzzy technology in medicine and healthcare

Fuzzy Sets and Systems - Special issue on clustering and learning
Fuzzy decision making for medical diagnosis based on fuzzy number and compositional rule of inference

Fuzzy Sets and Systems - Special issue on clustering and learning
Fuzzy System Design Principles

Fuzzy System Design Principles
An Introduction to Wavelets

IEEE Computational Science & Engineering
Long-term signal detection, segmentation and summarization using wavelets and fractal dimension: A bioacoustics application in gastrointestinal-motility monitoring

Computers in Biology and Medicine
Fuzzy classifier design using genetic algorithms

Pattern Recognition
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms

Artificial Intelligence in Medicine
Fuzzy Classifier Design

Fuzzy Classifier Design
Estimation of fractal signals from noisy measurements usingwavelets

IEEE Transactions on Signal Processing

Decision tree based fuzzy classifier of H1 magnetic resonance spectra from cerebrospinal fluid samples

Fuzzy Sets and Systems
Fuzzy classifier based on fuzzy support vector machine

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.20

Visualization

Abstract

A suspected metabolic disorder presents a difficult challenge to the physician and the patient. We have developed a fully automated system in order to analyze and classify the magnetic resonance spectroscopy signals of patients with metabolic brain diseases. We utilized wavelets to extract signal features and in the time-frequency representations to optimize the feature extraction procedure. Novel fuzzy membership functions and a fuzzy relational classifier were designed to categorize the metabolic brain diseases in children using the information obtained from the feature extraction routine. The sensitivity (Se) and the positive predictivity (PP) of 88.26% and 91.04% in extracting features and 89.66% and 100%, respectively, in detecting metabolic brain diseases has been achieved.