Diagnosis support method of pletysmographical records with the use of framework tenets

• Autorzy: Penhaker M.
• Języki publikacji: EN

Abstrakty

EN

The aim of this study is the processing and evaluating of plethysmographical records giving important information about the blood vessel function. Result of this study is to present the methodology for classifying the records by means of mathematical methods that would contribute to systematic evaluation of what has been found by finger plethysmography. Thereafter the experimental expert system based on framework systems serves to determine the diagnosis on the basis of previous mathematical processing is introduced. The goal of the project was also creation of application by the form of the extension of kernel for the use of framework that is determined for support of control and information systems development in the area of signal processing, elaborate and describe the methodology of extension hereof setting in the nature of specific applications. Beyond above-mentioned outputs the solution of the project should give the specific knowledge about the usage effectiveness of evolutional frameworks. Fundamental implementation idea is based on the usage of MATLAB as the basis for extension of common kernel.

Słowa kluczowe

EN

signal processing; plethysmography; wavelet transform; expert systems; framework; kernel extension

PL

przetwarzanie sygnałów; pletyzmografia; transformata falkowa; system ekspercki; rozszerzenie jądra

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 5
• Strony: MI121--127
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Penhaker M.

• VŠB-Technical University Ostrava, Faculty of Electrotechnics and Informatics, Department of Measurement and Control, 17. listopadu 15, Ostrava Poruba, 708 33

Bibliografia

• [1] ČÍŽEK V., Diskrétní fourierova transformace a její použití, SNTL, Praha 1981
• [2] DRUCKMüLLER M, RYCHLÝ J., Linguistic Model Processing System LMPS v3.0, VUT – FS, Brno 1989
• [3] HONZÍKOVÁ N., Spectral analysis of circulatory rhytms, Masarykova universita v Brně, 1990
• [4] OLIVA I., ROZTOČIL K., Pulsová vlna v diagnostice ischemické choroby dolních končetin, Aviceum, Praha 1982
• [5] POKORNÝ M., Umělá inteligence v modelování a řízení, BEN Praha,1996
• [6] STRING G., NGUYEN T., Wavelets and filter banks, Wellesley – Cambridge press, USA 1996