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Wyświetlanie 1-3 z 3
Tytuł:
On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering
Autorzy:
Selskyy, Petro
Vakulenko, Dmytro
Televiak, Anatolii
Veresiuk, Taras
Powiązania:
https://bibliotekanauki.pl/articles/551653.pdf
Data publikacji:
2018
Wydawca:
Stowarzyszenie Przyjaciół Medycyny Rodzinnej i Lekarzy Rodzinnych
Tematy:
primary health care
ypertension
algorithms
eural networks (computer) cluster analysis.
Źródło:
Family Medicine & Primary Care Review; 2018, 2; 171-175
1734-3402
Pojawia się w:
Family Medicine & Primary Care Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cardiovascular system adaptability to exercise according to morphological, temporal, spectral and correlation analysis of oscillograms
Autorzy:
Viktorovych Vakulenko, Dmytro
Petrovych Martseniuk, Vasyl
Oleksiyvna Vakulenko, Liudmyla
Romanovych Selskyy, Romanovych Selskyy
Kutakova, Oksana
Gevko, Olena
Kadobnyj, Taras
Powiązania:
https://bibliotekanauki.pl/articles/551536.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Przyjaciół Medycyny Rodzinnej i Lekarzy Rodzinnych
Tematy:
cardiovascular system
exercise
regeneration
Opis:
Background. Diseases of the cardiovascular system (CVS) are among the most common diseases of humankind (WHO). Monitoring of blood pressure (BP) is an accessible method for evaluating global hemodynamic processes. The functional reserves of the circulatory system are traditionally determined by the use of functional loading trials and tests. Objectives. The aim of the study is to enhance the information collected during the blood pressure measurement process by studying the levels of adaptation of the CVS to physical activity with morphological, temporal, spectral and correlation analyses of arterial oscillography (AO). Material and methods. In 178 healthy individuals aged 18–20 years, arterial oscillograms were recorded during blood pressure measurement and correlations of the functional reserve of the cardiovascular system at various stages of adaptation to a Ruffier test were investigated. Results. The proposed methods of AO analysis significantly increase the informativeness of the procedure for blood pressure measurement, provide an opportunity to conduct a visual analysis of AOs and to assess the state of the cardiovascular system, its reserve capabilities and its ways of adapting to shoulder compression at rest, after physical load and in the process of recovery. Conclusions. Using the information technologies proposed by the authors of the morphological, temporal, spectral and correlation analysis of arterial oscillograms, their evaluation and clinical interpretation significantly increase the informativeness of the blood pressure measuring process. They can be used for early detection of pre-morbid conditions and functional blood circulation reserves, which will help the physician to more effectively plan a preventative, diagnostic and therapeutic process.
Źródło:
Family Medicine & Primary Care Review; 2019, 3; 253-263
1734-3402
Pojawia się w:
Family Medicine & Primary Care Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Influence of a Low-Frequency Musical Fragment on the Neural Oscillations
Autorzy:
Drozdenko, Kateryna
Naida, Sergey
Drozdenko, Oleksandr
Damarad, Anastasiia
Pareniuk, Dmytro
Vakulenko, Liudmyla
Adaricheva, Zhanna
Powiązania:
https://bibliotekanauki.pl/articles/2141638.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electroencephalogram
brain rhythms
music therapy
acoustic influences
bioelectrical activity
spectral analysis
Opis:
Study of musical-acoustic influences, which are used to improve the functional state of a person, as well as her/his neurophysiological or psychological rehabilitation, is very relevant nowadays. It is related with a large number of conflict situations, significant psychological and informational overloads of modern human, permanent stress due to the pandemic, economic crisis, natural and man-made disasters. This work examines the effect of listening to low-frequency music on the percentage of alpha, beta, delta, and theta waves in the total spectral power of the electroencephalogram in the frequency band 0.5–30 Hz. To obtain rhythms of the brain the spectral analysis of filtered native electroencephalogram was used. For statistical analysis of neural oscillations the Student’s t-test and the sign test were implemented with usage of the Lilliefors normality criterion and the Shapiro-Wilk test. Statistically significant differences were identified in alpha, theta and delta oscillations. For the beta rhythm presented music did not play any significant role. An increase in the activity of the alpha rhythm in the temporal (for 2.20 percentage point), central (for 1.51 percentage point), parietal (for 2.70 percentage point), occipital (for 2.22 percentage point) leads of the right hemisphere and the parietal (for 1.74 percentage point) and occipital (for 2.46 percentage point) leads of the left hemisphere and also of the theta rhythm in the temporal leads of the left hemisphere (for 1.13 percentage point) were observed. The downfall of delta rhythm in the frontal lead of the left hemisphere (for 1.51 percentage point) and occipital in both hemispheres (for 1.64 and 1.33 percentage points respectively in the left and right hemispheres) was detected. These may indicate that listening to low-frequency compositions helps to restore the brain in physiological conditions at different functional overload levels, decrease the level of emotional tone, and promote relaxation.
Źródło:
Archives of Acoustics; 2022, 47, 2; 169-179
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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