Computer diagnosis of laryngopathies based on temporal pattern recognition in speech signal

• Autorzy: Szkoła, J. , Pancerz, K. , Warchoł, J.
• Języki publikacji: EN

Abstrakty

EN

The research concerns designing computer methods of a non-invasive diagnosis of selected larynx diseases. The proposed approach is based on a signal analysis in the time domain. Two diseases are considered: Reinke's edema and laryngeal polyp. The paper presents a medical background, basic problems, a proposed procedure for the computer tool, and experiments carried out using this procedure.

Słowa kluczowe

EN

diagnosis support system; laryngopathies; temporal patterns; neural networks

• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2010
• Tom: Vol. 6, no. 12
• Strony: 75--80
• Opis fizyczny: Bibliogr. 8 poz., tab., wykr.

Twórcy

autor

Szkoła, J.

• Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów ul. Sucharskiego 2, 35-225 Rzeszów, Poland

autor

Pancerz, K.

• Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów ul. Sucharskiego 2, 35-225 Rzeszów, Poland

autor

Warchoł, J.

• Department of Biophysics, Medical University of Lublin ul. Jaczewskiego 4, 20-090 Lublin, Poland

Bibliografia

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• 2. Demuth H., Beale M.: Neural Network Toolbox For Use with MATLAB. User’s Guide. Version 4. The MathWorks, 2001.
• 3. Elman J. L.: Finding Structure in Time, Cognitive Science, 14: 179-211, 1990.
• 4. Greenes R. A.: Clinical Decision Support: The Road Ahead, Elsevier Inc. 2007.
• 5. Orlikoff R., Baken R., Kraus D.: Acoustic and physiologic characteristics of inspiratory phonation, Journal of the Acoustical Society of America, 102(3): 1838–1845, 1997.
• 6. Warchoł J.: Speech Examination with Correct and Pathological Phonation Using the SVAN 912AE Analyser (in Polish), PhD Thesis, Medical University of Lublin, 2006.
• 7. Warchoł J., Szkoła J., Pancerz K.: Towards Computer Diagnosis of Laryngopathies Based on Speech Spectrum Analysis: A Preliminary Approach. In: A. Fred, J. Filipe, H. Gamboa (eds.), Proc. of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS'2010), Valencia, Spain, 464-467, 2010.
• 8. Winholtz W. S., Titze I. R.: Suitability of minidisc (MD) recordings for voice perturbation analysis, Journal of Voice, 12(2): 138-142, 1998.