Digital spectral analysis: with applications
Digital spectral analysis: with applications
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
Advanced Topics in Digital Signal Processing
Advanced Topics in Digital Signal Processing
Computers in Biology and Medicine
A novel approach for ANFIS modelling based on full factorial design
Applied Soft Computing
Expert Systems with Applications: An International Journal
Preliminary results of severity of illness measures of rheumatoid arthritis using infrared imaging
MEMEA '09 Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications
Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection
Computers in Biology and Medicine
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
Neural Network Approaches to Grade Adult Depression
Journal of Medical Systems
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Rheumatoid arthritis (RA) is a multi-systemic autoimmune disease that leads to substantial morbidity and mortality. In this paper, as spectral analysis methods of Multiple Signal Classification (MUSIC) method is used in order to extract the significant features from the right and left hand Ulnar artery Doppler signals for the diagnosis of RA disease. The MUSIC method has been used as subspace method. To extract features from Doppler signals obtained from the right and left hand Ulnar arterial the MUSIC method model degrees of 5, 10, 15, 20, and 25 were used. Then, an adaptive network based fuzzy inference system (ANFIS) was applied to features extracted from the right and left hand Ulnar artery Doppler signals for classifying RA disease. The methods are not new, but the study has a novelty in that the application area of these methods is new. In the hybrid model, the combination of MUSIC and ANFIS yielded classification accuracies of 95% (for a model degree of 20) using the right hand Ulnar artery and classification accuracies of 91.25% (for a model degree of 10) using left hand Ulnar artery Doppler signals in the diagnosis of RA disease. The proposed approach has potential to help with the early diagnosis of RA disease for the specialists who study this subject.