- Tytuł:
- The diseases classification method on gait abnormalities characteristic contributions
- Autorzy:
-
Chandzlik, S.
Piecha, J. - Powiązania:
- https://bibliotekanauki.pl/articles/333759.pdf
- Data publikacji:
- 2005
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
klasyfikacja chorób neurologicznych
choroba Parkinsona
niedowład
udar niedokrwienny mózgu
automatyczne zakończenie
sieci nuronowe
neurological disease classification
Parkinson disease
hemiparesis
ischemic stroke
automatic conclusion
neural networks - Opis:
- 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.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2005, 9; 187-194
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł