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    Wyświetlanie 1-8 z 8
    Tytuł:
    Social and family-related correlates of medical care utilization by asthmatic children in Upper Silesia, Poland
    Autorzy:
    Zejda, J.E.
    Brozek, G.M.
    Farnik, M.
    Smolka, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/49982.pdf
    Data publikacji:
    2012
    Wydawca:
    Instytut Medycyny Wsi
    Opis:
    Background: Studies on childhood asthma demonstrate socioeconomic disparities in medical care utilization. A lack of information for Poland prompted our investigation into this question. Its goal was to discover if the utilization of medical services by asthmatic children depends on social and family factors. Methods: Subjects were 186 children with physician-diagnosed asthma, identified through a questionnaire survey of 4,535 school children in Katowice District, Poland. Utilization of medical care was assessed by such past year events as medical visits (44.0%), any diagnostic test (35.4%) and spirometry (30.6%). Association of those events with socioeconomic variables was explored by means of logistic regression, according to the criterion p≤ 0.1. Results: After adjustment for disease severity and gender medical visits were related to younger age (p=0.009), family history of respiratory diseases (p=0.08) and rural residence (p=0.09), any diagnostic tests to younger age (p=0.08), smaller number of siblings (p=0.01) and rural residence (p=0.004); spirometry to smaller number of siblings (p=0.09) and rural residence (p=0.006). Conclusion: Clinical status and age are important determinants of utilization of medical services by asthmatic children. The effects of rural residence and family size may reflect a more attentive response to the needs of a sick child.
    Źródło:
    Annals of Agricultural and Environmental Medicine; 2012, 19, 1
    1232-1966
    Pojawia się w:
    Annals of Agricultural and Environmental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic prolongation recognition in disordered speech using CWT and Kohonen network
    Autorzy:
    Codello, I.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Kobus, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/332965.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    sieć Kohonena
    zaburzenia automatycznego rozpoznawania mowy
    ciągła transformata falkowa
    skala Barka
    wydłużenie mowy
    Kohonen network
    automatic disorders speech recognition
    waveblaster
    CWT
    continuous wavelet transform (CWT)
    Bark scale
    speech prolongations
    Opis:
    Automatic disorder recognition in speech can be very helpful for the therapist while monitoring therapy progress of the patients with disordered speech. In this article we focus on prolongations. We analyze the signal using Continuous Wavelet Transform with 18 bark scales, we divide the result into vectors (using windowing) and then we pass such vectors into Kohonen network. Quite large search analysis was performed (5 variables were checked) during which, recognition above 90% was achieved. All the analysis was performed and the results were obtained using the authors' program - "WaveBlaster". It is very important that the recognition ratio above 90% was obtained by a fully automatic algorithm (without a teacher) from the continuous speech. The presented problem is part of our research aimed at creating an automatic prolongation recognition system.
    Źródło:
    Journal of Medical Informatics & Technologies; 2012, 20; 137-144
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Disordered sound repetition recognition in continuous speech using CWT and Kohonen network
    Autorzy:
    Codello, I.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Kobus, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333359.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    sieć Kohonena
    zaburzenia automatycznego rozpoznawania mowy
    ciągła transformata falkowa
    skala Barka
    powtarzanie dźwięku
    Kohonen network
    automatic disorders speech recognition
    waveblaster
    CWT
    continuous wavelet transform (CWT)
    Bark scale
    sound repetition
    Opis:
    Automatic disorders recognition in speech can be very helpful for therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales, the result is divided into vectors and passed into Kohonen network. Finally, the Kohonen winning neuron result is put on the 3-layer perceptron. The recognition ratio was increased by about 20% by adding a modification into the Kohonen network training process as well as into CWT computation algorithm. All the analysis was performed and the results were obtained using the authors' program ”WaveBlaster“, The problem presented in this article is a part of our research work aimed at creating an automatic disordered speech recognition system.
    Źródło:
    Journal of Medical Informatics & Technologies; 2011, 17; 123-130
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Speech nonfluency detection and classification based on linear prediction coefficients and neural networks
    Autorzy:
    Kobus, A.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Codello, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/333600.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    przewidywanie liniowe
    liniowe kodowanie predykcyjne
    sieci nuronowe
    kowariancja
    brak płynności
    mowa
    wykrywanie
    perceptron
    linear prediction
    LPC
    neural networks
    Kohonen
    covariance
    nonfluency
    speech
    detection
    radial
    Opis:
    The goal of the paper is to present a speech nonfluency detection method based on linear prediction coefficients obtained by using the covariance method. The application “Dabar” was created for research. It implements three different methods of LP with the ability to send coefficients computed by them into the input of Kohonen networks. Neural networks were used to classify utterances in categories of fluent and nonfluent. The first one was Kohonen network (SOM), used to reduce LP coefficients representation of each window, which were used as input data to SOM input layer, to a vector of winning neurons of SOM output layer. Radial Basis Function (RBF) networks, linear networks and Multi-Layer Perceptrons were used as classifiers. The research was based on 55 fluent samples and 54 samples with blockades on plosives (p, b, d, t, k, g). The examination was finished with the outcome of 76% classifying.
    Źródło:
    Journal of Medical Informatics & Technologies; 2010, 15; 135-143
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic disordered sound repetition recognition in continuous speech using CWT and kohonen network
    Autorzy:
    Codello, I.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Kobus, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/106192.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    speech recognition
    speech disorders
    sound repetition
    Continuous Wavelet Transform
    WaveBlaster
    Opis:
    Automatic disorders recognition in speech can be very helpful for a therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales. Using the silence finding algorithm, only speech fragments are automatically found and cut. Each cut fragment is converted into a fixed-length vector and passed into the Kohonen network. Finally, the Kohonen winning neuron result is put on the 3-layer perceptron. Most of the analysis was performer and the results were obtained using the authors’ program WaveBlaster. We use the STATISTICA package for finding the best perceptron which was then imported back into WaveBlaster and used for automatic blockades finding. The problem presented in this article is a part of our research work aimed at creating an automatic disordered speech recognition system.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 2; 39-48
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new elliptical model of the vocal tract
    Autorzy:
    Kobus, A.
    Kuniszyk-Jóźkowiak, W.
    Smołka, E.
    Suszyński, W.
    Codello, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/333373.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    model eliptyczny
    aparat głosowy
    przewidywania liniowe
    jąkanie
    elliptical model
    vocal tract
    PARCOR
    linear prediction
    disfluency
    stuttering
    Opis:
    In this paper a new model of the vocal tract is proposed. It is based on elliptical cylinders. It uses the vocal tract model based on PARCOR coefficients and midsaggital measurements of the voice tube. PARCOR coefficients were obtained from linear prediction coefficients which had been obtained by Levinson-Durbin method. Midsaggital lengths, understood as the height of a real vocal tract, were taken from X-Ray pictures, and they were averaged from the vocal tracts of a few people, who uttered the same vowels. The paper bases on Polish vowels: a,e,o,u,i,y.
    Źródło:
    Journal of Medical Informatics & Technologies; 2011, 17; 131-139
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Size dependent heating efficiency of multicore iron oxide particles in low-power alternating magnetic fields
    Autorzy:
    Smolkova, I.
    Kazantseva, N.
    Vitkova, L.
    Babayan, V.
    Vilcakova, J.
    Smolka, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1054706.pdf
    Data publikacji:
    2017-04
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    75.47.Lx
    75.50.Mm
    75.60.Jk
    75.75.-c
    75.78.-n
    Opis:
    Aggregates of superparamagnetic nanoparticles, so called multicore particles get much attention due to collective magnetic behaviour. Despite the fact that saturation magnetization and coercivity of multicore particles are lower than for single particles of comparable size, they can generate large amount of heat in alternating magnetic field. This makes them promising for magnetic hyperthermia. However, correlation between internal magnetic structure of multicore particles and their heating ability in alternating magnetic fields are not clear yet. Detailed experimental investigations are required to determine the optimal sizes of multicore particles and the alternating magnetic field parameters to obtain maximal heat. In this study, we demonstrated how hydrodynamic size of multicore particles influences alternating magnetic field energy absorption. Dense aggregates composed of bare magnetic iron oxide nanoparticles of 13 nm were obtained by coprecipitation. Further peptization allowed to gain aqueous dispersions of multicore particles with various hydrodynamic size, varing from 85 to 170 nm, due to electrostatic stabilization. Multicore particles dispersions have saturation magnetization of 40 A m²/kg_{Fe₃O₄} and coercivity of 79.6 A/m regardless of their size. Dispersion of 85 nm multicore particles is stable and provides specific loss power of 42 W/g_{Fe}. Further increase of hydrodynamic size leads to low stability and loss of the ability to generate heat in alternating magnetic field.
    Źródło:
    Acta Physica Polonica A; 2017, 131, 4; 663-665
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Motion capture as a modern technology for analysing ergometer rowing
    Autorzy:
    Skublewska-Paszkowska, M.
    Montusiewicz, J.
    Łukasik, E.
    Pszczoła-Pasierbiewicz, I.
    Baran, K. R.
    Smołka, J.
    Pueo, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/957966.pdf
    Data publikacji:
    2016
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    motion capture
    ergometer rowing
    biomechanical body parameters
    Opis:
    The paper presents a purpose-built laboratory stand consisting of a Vicon motion capture system with reference video cameras, wireless EMG system, Concept 2 Indoor Rower ergometer, wireless heart rate monitor and the Nexus software. A pilot study of people who exercise on the ergometer helped to create a proper configuration of all the components of the laboratory. Moreover, a procedure for carrying out research was developed, which consists of several steps divided into 4 stages: preparation of the motion acquisition system; preparation of the participant; familiarising participants with the technique of rowing, recording their movements and acquiring other measurement signals. Preliminary analysis of the results obtained from heterogeneous signals from various devices showed that all the components of the research stand are mutually compatible and the received signals do not interfere with one another.
    Źródło:
    Advances in Science and Technology. Research Journal; 2016, 10, 29; 132-140
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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