The diseases classification method on gait abnormalities characteristic contributions

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

Abstrakty

EN

Present medicine uses computers in various applications, especially in a field of a diseases level classification and diagnosis. In many cases an automatic conclusion making units are the main goal of the computer systems usage. The software units are developed for the diseases classification or for monitoring of the disease medical treatment. An example application was described in this paper. It concerns a gait abnormalities level analysis that is described by a data records gathered by insoles of Parotec System for Windows (PSW) [17,18]. The PSW software package is used for visualisation of the gait characteristic static and dynamic characteristic features. In the authors' works many additional data components were distinguished. The field of the applications is located within the neurological gait characteristics also the source applications concern orthopaedics [16,18]. Careful analysis of the data provided the developers with new areas the PSW applications [4,11,13]. For conclusion making units the artificial networks theory was implemented [2,4,11,13]. For more effective training of the neural networks specific characteristic measures were introduced [4,5]. They allow controlling the training process more precisely, avoiding mistakes in current records classification.

Słowa kluczowe

EN

neurological disease classification; Parkinson disease; hemiparesis; ischemic stroke; automatic conclusion; neural networks

PL

klasyfikacja chorób neurologicznych; choroba Parkinsona; niedowład; udar niedokrwienny mózgu; zakończenie automatyczne; sieci nuronowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2005
• Tom: Vol. 9
• Strony: 187--194
• Opis fizyczny: Bibliogr. 18 poz., rys.

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, Faculty of Transport, Department of Transport Informatics, Katowice, Poland

Bibliografia

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