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An analysis of training load in standard and Latin American ballroom dancing in 10-15 years old children
Bushuev, Timofey ; Gryc, Tomáš (advisor) ; Miřátský, Petr (referee)
Title: An analysis of training load in standard and Latin American ballroom dancing in 10-15 years old children Aims: The aim of this bachelor thesis is to study the intensity of physical activity of dancers during the performance of standard and Latin American dances. The analysis of the intensity of exercise will allow a deeper understanding of the effect of these dances on the human body and provide recommendations for an effective training process for dancers. Young dancers are often unaware that dance can be classified as an anaerobic sport with physiological demands similar to traditional anaerobic sports such as sprinting, swimming and weightlifting. The aim of this study is also to uncover the problems associated with the intensity of physical activity during the training of ballroom dances and to investigate the effect of these dances on the physical preparation of dancers. The research question focuses on the intensity of the dancers' physical exertion and the factors affecting this exertion. The results of the study could assist dance physiologists, physical therapists, and pediatricians in preventing growth-related injuries in young dancers. Methods: respondents were approached through dance studios, clubs and online sources. Data collection was systematic over a two-month period....
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Monitoring heart rate dynamics in rhythmic gymnastics group exercises
Kheilová, Andrea ; Holá, Iveta (advisor) ; Novotná, Viléma (referee)
Title: Monitoring heart rate dynamics in groups of rhythmic gymnastics. Objectives: The aim of work is monitoring heart rate dynamics in groups of rhythmic gymnastics in two different periods and in the competition. Subsequent comparison of measured results and their comparison within each period for one competitor and within all competitors in individual periods. Methods: For the research we used the method of measuring heart rate dynamics using a Garmin sporttester. The results were then subjected to examination and further compared and processed using statistical methods. Results: During the research, it was found that the stress exerted on the gymnasts during the competition significantly affected the values of their heart rate compared to the rest of the measurements that were made in training conditions. Keywords: rhythmic gymnastics, heart rate, stress, load, groups, sporttester
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Pulse Check in Pharmacies VI
Bayer, Tomáš ; Rejmanová, Anna (advisor) ; Hendrychová, Tereza (referee)
Pulse Check in Pharmacies VI Author: Tomáš Bayer Supervisor: PharmDr. Anna Rejmanová, Ph.D. Consultant: PharmDr. Kateřina Malá, Ph.D. Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University Introduction: Atrial fibrillation (AF) is one of the most common heart diseases and one of the most common arrhytmias. AF is up to 40 % asymptomatic. Pharmacists are in contact with many patients every day, as a result, can play a role in detecting many diseases, including AF. The screening of AF in pharmacies is now recognized as one of the established strategies for opportunistic screening of AF. Aim: The aim of this study was to demonstarte the possibility of pharmacist involvement in AF screening to potentially detect AF and other heart conditions. A sub-objective of the project was to increase awareness of AF among the general public. Methods: The measurements took place in a community pharmacy located within a health center for several weeks between July 17, 2023 and August 25, 2023 and during two weeks in March 2024. Patients were included in the study according to the entry criteria, which were age over 55 years and no chronic anticoagulant treatment. Patients were offered measurements. If they agreed, a short questionnaire regarding their health status,...
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Assessment of the energy cost of florball and flag football
Máchal, Tomáš ; Bunc, Václav (advisor) ; Jandová, Soňa (referee)
The thesis elaborates the difficulty of flag football compared to floorball using heart rate measurements. Measurements for each sport were taken with six players in the age range of 18- 37 years old for twenty minutes of the game. Players are active in these sports and were selected after consultation with coaches. The measured values were processed using statistical data analysis and presented through bar graphs. Five load zones were determined for data analysis, using Polar application. The first zone of 50% to 60% of maximum heart rate and each subsequent zone covered values ranging 10% higher. The measurements showed that floorball players reached a significantly higher average heart rate during the game, 153.1 ± 9.4 bpm, compared to the average heart rate of 131 ± 6.7 bpm achieved by flag football players. The floorball players also measured a higher average maximum heart rate, which was 190.5 ± 9.4 beats/min. In flag football players, this value averaged 173.8 ± 8.5 beats/min. Furthermore, the measurements showed that the flag football players spent significantly more time in the lower load zones during the game than the floorball players. Specifically, flag football players spent 25.2% of the time in the first zone, 32.8% of the time in the second zone, 28.5% of the time in the third zone,...
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Using of neural network for detection of heart rhythm disturbances from ECG data and accelerometer signal
Aleksandrenko, Borys ; Ředina, Richard (referee) ; Bulková, Veronika (advisor)
This bachelor's thesis addresses the issue of detecting heart rhythm disorders from EKG and accelerometer signals using machine learning. First, an analysis of the possibilities for detecting heart rhythm disorders from these signals was conducted through a theoretical review. In the next part, a methodology was proposed for detecting two rhythm disorders: inappropriate sinus tachycardia and chronotropic incompetence. The methodology was further supplemented with adaptive filtering of EKG signals using signals from the accelerometer. In the third part of the thesis, a database of samples was created for training machine learning models proposed in the methodology. The next section included the description and implementation of the models. In the fifth part of the thesis, an application for detecting heart rhythm disorders using the proposed methodology was developed in the Python programming language. Finally, a discussion and evaluation of the results were conducted.
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Heart Rate Estimation from the PPG Signals
Šimčák, Petr ; Králík, Martin (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis focuses on heart rate estimation from photoplethysmographic (PPG) signals. The work utilizes two databases: CapnoBase and BUT PPG. The aim is not only to provide an overview of heart rate estimation methods from PPG signals but also to design, implement, and test algorithms for reliable detection of systolic peaks and heart rate determination. The advantages and limitations of each method are also discussed.
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Use of Physiological Data to Analyze and Improve the User Experience
Štefeková, Nina ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
This thesis is concerned with the research of the physiological symptoms of stress, the design and execution of an experiment that can induce short-term stress. Subsequently, the goal was to create a dataset from the experimentally obtained data and use it to train a machine learning model. Stress detection by such a model can be used to analyze the user experience. The proposed experiment uses a combination of stimuli, consisting of a relaxation part, a Stroop test and a web game that deliberately uses an unfriendly user interface. During it, data was recorded using an Empatica E4 device and then processed by an implemented application into the final dataset. A machine learning model that can detect short-term stress was then trained and evaluated. The KNN algorithm model evaluated by cross-validation achieves an accuracy of 84\% when the subject of the is known prior to the model. For an unknown subject, it is on average 78\%. The thesis provides this model and the resulting dataset, for further use. These results show that short-term stress detection is more challenging without prior knowledge of the subject.
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Detection of pilot body conditions by biometric sensors
Jakubec, Jakub ; Cigánek, Jan (referee) ; Chlebek, Jiří (advisor)
This master 's thesis deals with the detection of the state of the pilot using biometric sensors. The theoretical part describes various physiological states and types of sensors used for monitoring. Studies dealing with sleep detectioin and ways to detect drowsiness and sleep are presented here. The practical section focuses on gathering data from the actual aircraft environment and analyzing it. The results of the practical part show that the technology used has great potential and pilots are open to this technology. This technology would significantly improve flight safety.
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Complete implementation of pulse oximeter
Doležal, Lukáš ; Kaller, Ondřej (referee) ; Šotner, Roman (advisor)
This thesis deals with the design of a pulse oximeter. The resulting device allows to measure human blood oxygen saturation and heart rate in a non-invasive way. Easy portability is enabled by battery power supply and the used colour graphical display ensures clear display of the measured data. The paper describes in general terms the principle of pulse oximetry, a description of the chosen electronic components and the firmware developed to ensure the device's operation. Verification of correct operation was performed by comparing the measurements with similar devices available on the market.
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