Modelling the data record of a patient walk by langrange-polynomial method

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

Abstrakty

EN

Various options available in PSW footprint and walking characteristics measuring equipment [6], [7], give the user many aims in putting diagnosis. A Conclusion-Making Unit (CMU) that has been described in this paper supports the diagnosis automation procedures. Due to simplifying the CMU training process some affords in a field of the input record length reduction have been undertaken. The paper describes an analytical method of the data record description that allows converting discrete data samples into continuous function. This way a redigitalisation of the record can be done, where sampling period is matched with the walk length. This normalization allows reducing the data record length used for fast training of the CMU.

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: MI143--152
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Chandzlik S.

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

autor

Piecha J.

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

Bibliografia

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• [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.
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