A patient walk-data-record modelling using a spline interpolation method

• Autorzy: Chandzlik S. , Piecha J.
• Języki publikacji: EN

Abstrakty

EN

The paper describes an analytical method of data record description that allows converting samples of discrete data record into continuous function. This operation allows re-sampling the data record with a sampling rate that is adequate to step duration. The record length is limited to an efficient size for training the Conclusion-Making Unit (CMU). Various options available in the PSW equipment [6], [7] give the user many aims in putting diagnosis anyhow, due to simplification of the CMU training process several methods for data records modifications are considered.

Słowa kluczowe

EN

neural network training; conclusion-making systems; medical diagnostics automation

PL

szkolenia sieci neuronowych; automatyzacja diagnostyki medycznej

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2002
• Tom: Vol. 3
• Strony: MI153--159
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Chandzlik S.

• University of Silesia, Institute of Informatics, Dept. Computer Systems, Katowice, Poland

autor

Piecha J.

• University of Silesia, Institute of Informatics, Dept. Computer Systems, Katowice, Poland
• Silesian University of Technology, Institute of Transport, Katowice, Poland

Bibliografia

• [1] Aritomi H., Morita M., Yonemoto K., A simple method of measuring the foot sole pressure of normal subjects using prescale pressure-detection sheets. J. Biomech. 16, 1983, pp 157-165.
• [2] Chandzlik S., Kopicera K., Experiments with neural network parameters-selection for Foot abnormalities Recognition. Journal of Medical Informatics and Technologies, Vol. 5, pp. CS-71 - CS-78, November 2000.
• [3] Chandzlik S., Piecha J., Modelling the data record of a patient walk by Langrange-polynomial method. Journal of Medical Informatics and Technologies. Vol. 3/2002, pp. MI-143-152, Katowice 2002.
• [4] Fortuna Z., Macukow B., Wąsowski J., Metody numeryczne. WNT, Warszawa 1982.
• [5] Osowski S., Sieci neuronowe w ujęciu algorytmicznym. WNT, Warszawa 1996 (in polish)
• [6] Piecha J., The neural network conclusion-making system for foot abnormality recognition. Proceedings of IMACS World Congress, Lausanne, Switzerland, August 2000.
• [7] Piecha J., The neural network selection for a medical diagnostic system using an Artificial data set. CIT JOURNAL, Vol. 9, No. 2, June 2001.
• [8] Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P., Numerical Recipes in C. The Art. of Scientific Computing, Cambridge University Press, Melbourne 1992.
• [9] Ralston A., Wstęp do analizy numerycznej. PWN, Warszawa 1971.(in polish)
• [10] Sheref M.J., Bregman A.M., Kummer F.J., The effect of immobilisation devices on the load distribution under the foot. Clinical Orthopedics 192, 1985, pp. 260-267.
• [11] Stoer J., Wstęp do metod numerycznych. PWN, Warszawa 1979. (in polish)
• [12] Tadeusiewicz R., Sieci neuronowe. Akademicka Oficyna Wydawnicza RM, Warszawa 1993. (in polish)