Automatic conclusions making on neurological diseases by means of distributed data acquisition

• Autorzy: Zyguła J. , Piecha J. , Zięba T.
• Języki publikacji: EN

Abstrakty

EN

The paper concerns the implementation of some diagnostic measures describing gait disturbances produced by neurological diseases. The discussed contribution explains various experiments provided by the authors' works on Parotec System for Windows development [1]. The subject of the investigations was defined by many experiments carried-out at clinics, with gait's characteristic features analysis, involving the fuzzy logic paradigms. The linguistic notations of diagnostic classes are computed dynamically in accordance with disease statistics, provided by the characteristics of the patient under investigation. The comprehensive system was recognised as a friendly user package, which insulates the user from the complex analysis of measures describing the physiological gait characteristic features. What is more, the application has the ability to be tuned more precisely after the data record size has grown. The software-units implementation provided the user with a selftuned system that enriches the application knowledge, during the data acquisition, while the set of the data records is still growing.

Słowa kluczowe

EN

automatic conclusion; medical expert systems; neurological diseases; pedobarography

PL

wnioski automatyczne; medyczne systemy ekspertowe; choroby neurologiczne; pedobarografia

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2006
• Tom: Vol. 10
• Strony: 163--172
• Opis fizyczny: Bibliogr. 8 poz., fig.

Twórcy

autor

Zyguła J.

• Division of Computer Systems, University of Silesia, Katowice, Poland

autor

Piecha J.

autor

Zięba T.

Bibliografia

• [1] PIECHA J., ZYGUŁA J., PC Visual interface for Orthopaedic Expertise, Proc. of Int. Conference, pp. 162–167. Zakopane May 1995.
• [2] CHANDZLIK S., PIECHA J.: The body balance measures for neurological disease estimation and classification. Journal of Medical Informatics & Technologies, Vol. 6, pp: IT-87 – IT-94, 2003.
• [3] SHEREFF MJ., BREGMAN AM., KUMMER FJ., The effect of immobilization devices on the load distribution under the foot. Clin Orthop 192, 1985, pp. 260-267.
• [4] ZYGUŁA J., Przetwarzanie danych pomiarowych dla systemu wnioskowania o patologiach w obszarze stopy. PhD monograph available in main library of Silesian University of Technology in Gliwice (1997).
• [5] KOPICERA K., PIECHA J., ZYGUŁA J., The neural network characteristics-selection for orthopaedics diagnosis, Proc.of Int. Conference ASIS’99 Krnov sept. 1999.pp.113-118.
• [6] ZYGUŁA J., Fazy logik implementation for a foot pathology recognition, Journal of Medical Informatics and Technologies. MIT2000. Ustroń-Jaszowiec 2000, pp.CS57-CS64, ISBN 83-909518-2-7
• [7] ZYGUŁA J., ZIĘBA T., „A rough decision to gait disturbances classification”, Journal of Medical Informatics and Technologies MIT2005, Ustroń – Jaszowiec 2005 r.
• [8] PIECHA J.: The neutral network selection for a medical diagnostic system using an artificial data set. Journal of Computing and Information Technology CIT, Vol.9, pp: 123–132, 2001.