Temat: neurological disease - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

Tytuł:: The method of neuron weight vector initial values selection in Kohonen network
Autorzy:: Chandzlik, S.
Powiązania:: https://bibliotekanauki.pl/articles/333164.pdf
Data publikacji:: 2006
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: neural networks
Kohonen network
neurological diseases diagnosis
Parkinson disease
hemiparesis after ischemic stroke
Opis:: Diagnosing of morbid conditions by means of automatic tools supported by computers is a significant and often used element in modern medicine. Some examples of these tools are automatic conclusion-making units of Parotec System for Windows (PSW). In the initial period of PSW system implementation, the units were used for recognition of orthopaedic diseases on the basis of the patient's walk and posture [15,17]. Subsequently, many additional options have been implemented, which have been used for purposes of diagnosing neurological diseases [1,2,3,9,12]. During automatic classification of diseases the additional units use elements of neural networks. The vectors based on normalised diagnostic measures [3] are inputs of the units. The measurements describe a patient's posture condition, his walk and overloads occurring on his feet. The Counter-Propagation (CP), two-layer network has been used in one of the automatic conclusion-making units. During CP network activity, we can see not only supervised but unsupervised learning processes as well. This is a characteristic feature of the CP network. The initial steps of the CP network learning process are very important, because the success of the network training process depends on them to a great extent. Therefore, a new method of weight vector initial values selection was proposed. The efficiency of the method was compared with classical methods. The results were very satisfactory. Owing to the proposed method, the time of the network training process as well as the mean-square error and the classification error was reduced. The research has been carried out using clinical cases of some neurological diseases: Parkinson's Disease, left-lateral hemiparesis and right-lateral hemiparesis after ischemic stroke. The measurements, which were made on a control group of patients without any neurological diseases, were the reference for these diagnostic classes.
Źródło:: Journal of Medical Informatics & Technologies; 2006, 10; 189-197
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The gait abnormalities review of several neurological diseases
Autorzy:: Zbrojkiewicz, J. S.
Piecha, J.
Wajgt, A.
Powiązania:: https://bibliotekanauki.pl/articles/333332.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: choroby neurologiczne
zaburzenia chodu
niedowład
rwa kulszowa
choroba Parkinsona
neurological diseases
walk disturbances
hemiparesis
sciatic neuralgia
Parkinson disease
Opis:: This study was based on observations of 117 patients suffering from motor disturbances. Among them 42 cases with hemiparetic syndrome, mostly after cerebral stroke, 52 cases affected by acute sciatic neuralgia, and 23 patients with recognition of Parkinson - disease symptoms. To the control group 16 healthy adults was selected from our medical staff. All subjects were examined using pedobarographic equipment - Parotec System for Windows (PSW) [1]. Based on these observations several pattern solutions have been introduced. They concern gait disturbances in three distinguished neurological diseases. These findings extracted a new data from the PSW records and options and new diagnostic techniques based on the gait characteristics observation.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 8; MM83-94
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

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: 5.

Tytuł:: Gait disturbances recognition for some orthopaedic and neurological diseases diagnosis
Autorzy:: Piecha, J.
Powiązania:: https://bibliotekanauki.pl/articles/333757.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: diagnozowanie chorób ortopedycznych
diagnozowanie chorób neurologicznych
niedowład połowiczny
rwa kulszowa
choroba Parkinsona
zaburzenia chodu
orthopaedic disorders diagnosis
hemiparesis
sciatic neuralgia
Parkinson's disease
neurological diseases diagnosis
gait disturbances
Opis:: The study was based on many experiments of gait characteristics analysis, finally on observations of 117 patients suffering from motor disturbances. Among them were 42 cases with hemiparetic syndrome, mostly after cerebral stroke, 52 cases affected by acute sciatic neuralgia and 23 patients with recognition of Parkinson - disease symptoms. The control group was 16 healthy adults selected from medical staff - examined by pedobarographic equipment - PSW [4]. Based on these observations several classification proposals have been introduced. The majority of works concern gait disturbances investigations for three remarkable neurological diseases. They provide us with new diagnostic techniques based on some gait measures implementation.
Źródło:: Journal of Medical Informatics & Technologies; 2007, 11; 27-38
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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