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Verification of metabolism prediction based on performed activity
Kopecký, David ; Pokorný, Jan (referee) ; Kopečková, Barbora (advisor)
Nowadays, metabolic rate or energy expenditure in general is one of the most discussed topics, especially in connection with a healthy lifestyle. Nevertheless, the metabolic rate can be used as a relatively accurate indicator of physical or thermal load as well. Usually, the value of metabolic rate is used as input into various physiological models. These models estimate the body’s thermal stress, for instance when working in a protective suit. The thesis deals not only with tabulated values of metabolic rate, but it also focuses on the accuracy of estimated metabolic rate using simple measuring devices. The Apple Watch Series 4 smartwatch, the Garmin Fenix 6 Pro Glass sports tester, and the Fitbit Inspire smart sports bracelet were used for the measurements published in the thesis. The results of the measurements show that contemporary sports testers are still inappropriate for use in healthcare or elite sports.
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Validity of commercially available smartwatches when estimating energy expenditure
Kopecký, David ; Pokorný, Jan (referee) ; Řehák Kopečková, Barbora (advisor)
Metabolic rate is an energy quantity. Its value is a key input not only in thermophysiological models, but also in the calculation of heat stress indices or complex models predicting a person's thermal sensation. With the dynamic development of technology, sporttesters are able to estimate energy expenditure, among other things. It is a non-invasive method of estimating energy expenditure, or metabolic rate, using associated body functions to predict it. This work deals with the validity of the accuracy of metabolic rate estimation using the Garmin Fenix 6X Pro sporttester in comparison with indirect calorimetry. The accuracy of the metabolic rate estimation was tested for the activities of lying down, administrative work and cycling with regulated mechanical resistance of 100 and 150 W. 15 male subjects aged 28 ± 5 years, with a weight of 83.2 ± 13.5 kg and a height of 180 ± 7 cm participated in the study. In terms of the results, it is possible to observe a lower accuracy of prediction of metabolic rate for low-intensity activities, with the resulting MAPE being around 19-43 %. On the other hand, for activities with moderate activity, the prediction of the metabolic rate by the used sporttester proved to be sufficiently accurate, with a resulting MAPE in the range of 6–8 %.
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Verification of metabolism prediction based on performed activity
Kopecký, David ; Pokorný, Jan (referee) ; Kopečková, Barbora (advisor)
Nowadays, metabolic rate or energy expenditure in general is one of the most discussed topics, especially in connection with a healthy lifestyle. Nevertheless, the metabolic rate can be used as a relatively accurate indicator of physical or thermal load as well. Usually, the value of metabolic rate is used as input into various physiological models. These models estimate the body’s thermal stress, for instance when working in a protective suit. The thesis deals not only with tabulated values of metabolic rate, but it also focuses on the accuracy of estimated metabolic rate using simple measuring devices. The Apple Watch Series 4 smartwatch, the Garmin Fenix 6 Pro Glass sports tester, and the Fitbit Inspire smart sports bracelet were used for the measurements published in the thesis. The results of the measurements show that contemporary sports testers are still inappropriate for use in healthcare or elite sports.
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Studium adipokinetické hormonální odpovědi na infekci způsobenou entomopatogenní houbou druhu \kur{Isaria fumosorosea}
ČERNÝ, Jan
The goal of this bacholar thesis was to find out how to elicite the infection by entomopathogenic fungus Isaria fumosoroesa in the firebug Pyrrhocoris apterus. When firebugs were successfully infected by blastospors of these fungus, the level of AKH in the central neural system and metabolic activities were measured. The results revealed that the infection caused decrease of AKH level in the CNS and activation of energy sources (lipids) in haemolymph. The flow cytometry analyses indicated certain changes of hemocyte numbers and populations in the hemolymph after the infection.
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