Artificial intelligence in medical diagnosis of some brain dysfunctions

• Autorzy: Ciota Z. , Napieralski A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an analysis of objective evaluation of speech quality. As an example, the recovering process after stroke for patients with vascular lesion of a central nervous system has been taken into account. Application of neural networks gives possibility for objective evaluation of speech quality of patient suffering from disorder of speech motor.

Słowa kluczowe

EN

speech analysis; formant analysis; artificial neural networks; brain dysfunction; stroke; olfactory system

PL

analiza mowy; analiza formantowa; sztuczne sieci neuronowe; zaburzenie czynności mózgu; udar mózgu; układ węchowy

• Wydawca: Lodz University of Technology. Department of Microelectronics and Computer Science
• Czasopismo: International Journal of Microelectronics and Computer Science
• Rocznik: 2015
• Tom: Vol. 6, nr 1
• Strony: 1--5
• Opis fizyczny: Bibliogr. 8 poz., rys., wykr.

Twórcy

autor

Ciota Z.

• Department of Microelectronics, and Computer Science, Lodz University of Technology, Lodz, Poland

autor

Napieralski A.

• Department of Microelectronics, and Computer Science, Lodz University of Technology, Lodz, Poland

Bibliografia

• [1] P. Marciniak, R. Kotas, M. Kami􀄔ski, Z. Ciota, “Implementation of artificial intelligence methods on example of cardiovascular diseases risk stratification”. 21st International Conference Mixed Design of Integrated Circuits and Systems MIXDES 2014, 19 - 21 June 2014, Lublin, Poland
• [2] D. Krzesimowski, Z. Ciota, „Signal processing of voice in case of patients after stroke”, Electrical Review, no 11a/2010, pp.129-132
• [3] R. Kotas, Z. Ciota, “Olfactory event-related potentials recordings analysis based on modified EEG registration system”. 21st International Conference Mixed Design of Integrated Circuits and Systems MIXDES 2014, 19 - 21 June 2014, Lublin, Poland
• [4] Wai C. Chu, “Speech coding algorithms. Foundation and evolution of standardized coders”, John Wiley & Sons, New Jersey 2003
• [5] D. Krzesimowski, Z. Ciota, “Estimation of hospitalization progress for patients with stroke with using of voice analysis”, 6th Int. Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Firenze, Italy, December 14-16, 2009
• [6] A. Napieralski, Z. Ciota, M. Janicki, M. Kami􀄔ski, R. Kotas, P. Marciniak, M. Napieralska, R. Ritter, B. Sakowicz, W. Tylman, M. Zubert, “Examples of medical software and hardware expert systems for dysfunction analysis and treatment”, Facta Universitatis, Series: Electronics and Energetics Vol. 27, No 1, 2015
• [7] E. Kroupi, A. Yazdani, J. M. Vesin, T. Ebrahimi, "Multivariate spectral analysis for identifying the brain activations during olfactory perception", Annual Int. Conf. the IEEE Engineering in Medicine and Biology Society (EMBC), 2012, pp. 6172-6175
• [8] A. Keller, D. Malaspina, „Hidden consequences of olfactory dysfunction: a patient report, BMC Ear, Nose and Throat Disorders 2013 (ISSN 1472-6815)