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Wyszukujesz frazę "heart rates" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
The dynamics of special efficiency of sportsmen, who specialize in middle distance running
Autorzy:
Roda, O.
Powiązania:
https://bibliotekanauki.pl/articles/2052221.pdf
Data publikacji:
2014
Wydawca:
Akademia Bialska Nauk Stosowanych im. Jana Pawła II w Białej Podlaskiej
Tematy:
heart rates
menstrual cycle
lactate
Opis:
In sports training man tries to broaden the boundaries of his own capacities and the physical efficiency is an informative index, which defines a set of properties of the organism and, in the first place, the efficiency of blood flow and breathing mechanisms. In the article the impact of training load on the bodies of athletes, who specialize in middle distance running is analyzed and the dynamics of special efficiency, physiological mechanisms, responsible for the quality of athletes’ endurance, is determined. The dynamics of female athletes’ special efficiency manifestation has cyclical character and depends on the hormonal status change influence on the athletes’ body during the biological cycle. Special efficiency of male athletes has tendency of gradual results growth, which is explained by the functional possibilities change, resulted by the effective influence of training loads on their body. The highest efficiency has been found in the second and fourth phases, the lowest one - in the third and especially in the first and fifth phases of MC. This is due to the increased functionality of the cardiovascular system and the effectiveness of power-ensuring in the second and fourth phases and its decrease in the first and fifth phases of MC, leading to stress of adaptation processes of women’s bodies during these phases. As for men, their dynamics of special efficiency tended to gradual increase of the results, that, we think, can be explained by the growth of functional capabilities of the cardiovascular system and the effectiveness of power-ensuring on account of effective influence of training loads upon their organism.
Źródło:
Health Problems of Civilization; 2014, 08, 1; 18-23
2353-6942
2354-0265
Pojawia się w:
Health Problems of Civilization
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measurements of heart and respiration rates in thermovision
Autorzy:
Sosnowski, Tomasz
Sawicki, Krzysztof
Bieszczad, Grzegorz
Krupiński, Michał
Powiązania:
https://bibliotekanauki.pl/articles/114095.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
thermographic camera
heart rates
respiration rates
medical observations
Opis:
Human life parameters such as the frequency of heart contractions, temperature, arterial pressure and breathing frequency are one of the most important parameters used to assess the basic vital functions of the most important organs of the body. In addition to describe health status, they can be used to assess the state of human activity, its efficiency and fatigue. Traditional techniques for measuring physiological parameters require appropriate sensors connected to human body. However, attaching the sensors to a human body may be undesirable or impossible, such as in newborns or during sports training. The article presents the method of measuring the frequency of heart rate and the frequency of breathing based on the analysis of the thermographic image of the human head.
Źródło:
Measurement Automation Monitoring; 2019, 65, 1; 22-25
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of mortality rates in heart failure patients with data mining methods
Autorzy:
Bohacik, J.
Kambhampati, C.
Davis, D. N.
Cleland, J. G. F.
Powiązania:
https://bibliotekanauki.pl/articles/908867.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
heart failure
data mining
prediction of mortality rates
home telemonitoring
Bayesian network method
decision tree method
neural network method
nearest neighbour method
Opis:
Heart failure is one of the severe diseases which menace the human health and affect millions of people. Half of all patients diagnosed with heart failure die within four years. For the purpose of avoiding life-threatening situations and minimizing the costs, it is important to predict mortality rates of heart failure patients. As part of a HEIF-5 project, a data mining study was conducted aiming specifically at extracting new knowledge from a group of patients suffering from heart failure and using it for prediction of mortality rates. The methodology of knowledge discovery in databases is analyzed within the framework of home telemonitoring. Several data mining methods such as a Bayesian network method, a decision tree method, a neural network method and a nearest neighbour method are employed. The accuracy for the data mining methods from the point of view of avoiding life-threatening situations and minimizing the costs is discussed. It seems that the decision tree method achieves the best accuracy results and is also interpretable for the clinicians.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2013, 13, 1; 7-16
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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