Autor: Zyguła, J. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The neurological disease classification by means of its single descriptors coverage finding
Autorzy:: Piecha, J.
Zyguła, J.
Powiązania:: https://bibliotekanauki.pl/articles/333946.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wnioski automatyczne
medyczne systemy ekspertowe
choroby neurologiczne
decyzje rozmyte
czynniki klasyfikacji chorób
automatic conclusions
medical expert systems
neurological diseases
fuzzy decisions
disease classification factors
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2007, 11; 311-319
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Biometric recognition system based on the motion of the human body gravity centre analysis
Autorzy:: Porwik, P.
Zyguła, J.
Doroz, R.
Proksa, R.
Powiązania:: https://bibliotekanauki.pl/articles/333932.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: dane biometryczne
środek ciężkości
podpis
rozpoznawanie
biometrics
centre of gravity
signature
recognition
Opis:: In this paper we present a novel approach that enables the determination and measurement of important features associated with the human body movement. This information can be used in the construction of a biometric personal identification system. Biometrics is, essentially, a pattern recognition system based on measurements of unique physiological or behavioural features as acquired from an individual. The domain of biometric techniques is currently placed within recently developed disciplines of science. Biometry or biometrics is simply defined as automatically recognizing a person using distinguishing traits and is widely used in various security systems. Biometry can be defined as a method of personal identification based on individuals' physical and behavioural features. Physiological biometrics covers data coming directly from a measurement of part of a human body, for example a fingerprint, the shape of the face, or from the retina. Behavioural biometrics analyses data obtained on the basis of an activity performed by a given person, for example speech and the handwritten signature. The system of biometrics defined above can now be expanded, and a new biometrics system can be considered. In our approach, human foot pressure on a surface is measured and the pressure data retrieved. The pressure parameters are collected without the necessity of any movements of the feet.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 15; 61-69
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Automatic conclusions making on neurological diseases by means of distributed data acquisition
Autorzy:: Zyguła, J.
Piecha, J.
Zięba, T.
Powiązania:: https://bibliotekanauki.pl/articles/333181.pdf
Data publikacji:: 2006
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wnioski automatyczne
medyczne systemy ekspertowe
choroby neurologiczne
pedobarografia
automatic conclusions
medical expert systems
neurological diseases
pedobarography
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2006, 10; 163-172
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A rough decision to gait disturbances classification
Autorzy:: Zyguła, J.
Zięba, T.
Powiązania:: https://bibliotekanauki.pl/articles/333807.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: zastosowanie informatyki w medycynie
automatyczne zakończenie
systemy ekspertowe
pedobarografia
metrologia
use of computer science in medicine
automatic conclusion
expert systems
pedobarography
metrology
Opis:: 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.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 175-179
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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