Wyniki wyszukiwania - BazTech

1

The neurological disease classification by means of its single descriptors coverage finding

Piecha J., Zyguła J.

Journal of Medical Informatics & Technologies

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2007

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Vol. 11

311--319

EN

The reported diagnosis supporting system was provided with knowledge base determined by the disease characteristic features descriptors that were recorded in conclusions table. Every descriptor defines the elementary rules related to every disease factor threshold value, recognised as a sign of the disease presence (the over-gone physiological state). The introduced definitions of the disease characteristics and some fuzzy logic proposals implementations were defined for the decision making system development.

2

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

Zyguła J., Piecha J., Zięba T.

Journal of Medical Informatics & Technologies

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2006

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Vol. 10

163--172

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.

3

The diseases classification method on gait abnormalities characteristic contributions

Chandzlik S., Piecha J.

Journal of Medical Informatics & Technologies

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2005

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Vol. 9

187--194

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.

4

A rough decision to gait disturbances classification

Zyguła J., Zięba T.

Journal of Medical Informatics & Technologies

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2005

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Vol. 9

175--179

EN

The paper concerns the use of diagnostic measures for detection of gait disturbances for neurological pathologies identification. Project of using the PSW (Parotec System for Windows) system for detection of gait's characteristics described by the expert doctor and collected in knowledge base stored using modified Horn's rules with fuzzy linguistic notions was based on several years of experience in implementation and use of the PSW system. Linguistic notions are computed dynamically with use of diagnostic measure distribution of examined population. It makes system more friendly (isolates expert from questions which values of measures describe physiological gait), on the other hand it provides self-tuning of system during acquisition of still growing amount of measurements collected. Condition of correct pathology classification is to obtain proper description of disturbance from an expert and collection of explorations among pathological and physiological population. The best way of tuning the system is to use it for sift research. An implementation of system is currently at the final stage.