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Training zones estimation
Goldschmidt, Tobiáš ; Janoušek, Oto
Training zones, or exercise intensity zones, are a vital part of modern sport. Assessing these zones is not only costly but also needs to be done quite frequently. This paper proposes a new way of assessing training zones to overcome these challenges - based on DFA alpha1. It shows that laboratory assessment of training zones by DFA alpha1 is quite accurate. However, its usage to monitor exercise intensity in daily use is not as accurate, especially during low and medium intensity exercises.
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Analysis of heart rate variability (HRV) during simulated operational stress in military personnel
Velda, Jan ; Maleček, Jan (advisor) ; Hráský, Pavel (referee)
Title: Analysis of Heart Rate Variability (HRV) During Simulated Operational Stress in Military Personnel. Goal: To analyze the effect of a three-day simulated operational stress on Heart Rate Variability (HRV) in individuals without the presence of sleep deprivation and caloric deficit. Methods: This bachelor's thesis combines empirical and theoretical approaches. The research sample included four students from the Military Department at the Faculty of Physical Education and Sport, Charles University (FTVS UK) in Prague, divided into control and experimental groups (two students in each group). All participants were physically fit and healthy individuals with an average age of 22.5 ± 1.91 years, an average height of 185.75 ± 4.19 cm, and an average weight of 89.5 ± 7.59 kg. Before the actual measurement, participants filled out the Pittsburgh Sleep Quality Index (PSQI), the Perceived Stress Scale (PSS10), and the Connor-Davidson Resilience Scale (CD RISC), and their baseline HRV values were measured. Then they underwent a three-day stress protocol of simulated military operational stress (SMOS), designed to simulate conditions that soldiers may encounter during combat deployment. This protocol included the "Tactical Mobility Test" (TMT) battery, consisting of seven tests: reaction speed, shooting,...
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Heart rate variability during walking in the forest and laboratory
Fantová, Michaela ; Baláš, Jiří (advisor) ; Hráský, Pavel (referee)
Title: Heart rate variability during walking in a forest environment and in a laboratory. Objectives: The aim of this study is to compare the variability of heart rate during walking in a forest and laboratory environment. Methods: In this study, heart rate was monitored using the Garmin HRM Dual chest strap during a 40minute walk in both natural and laboratory environments. The data were processed using Kubios software, enabling detailed analysis of heart rate variability (HRV). The research included HRV indicators such as RMSSD, SNS, and PNS indices, SD1 and SD2 indices, and a stress index, providing information on sympathetic and parasympathetic nervous system activity and overall stress levels. This methodology allows for the assessment of organism responses to various stimuli and stressful situations. Results: The average values were as follows: heart rate was 92.5 bpm in the forest and 79 bpm in the laboratory; RMSSD was 21.5 ms in the forest and 34 ms in the laboratory; SD1 was 29 % in the forest and 30 % in the laboratory; SD2 was 71 % in both environments; the stress index was 16.5 in the forest and 10 in the laboratory; the PNS index was -1.835 in the forest and -0.95 in the laboratory; the SNS index was 2.63 in the forest and 0.965 in the laboratory. Conclusion: Sympathetic nervous...
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Effects of natural environments on heart rate variability during walking
Polyák, Daniel ; Baláš, Jiří (advisor) ; Hráský, Pavel (referee)
Objectives: The aim of this thesis is to assess the effect of natural contrary to laboratory environment on heart rate variability during walking. Methods: Seven students from the Faculty of Physical Education and Sport of Charles University completed one visit in a natural and laboratory setting. Participants completed the Stroop test for 10 minutes. This was followed by walking for 40 minutes with active monitoring of heart rate variability using a sports watch and chest belt. Seven indicators of variability were assessed: heart rate, RMSSD (Root Mean Square of Successive Differences), Standard Deviation - SD1 and SD2, stress index, PNS index, SNS index. Data were analyzed in Kubios HRV software, processed, recorded in Excel and plotted in bar graphs. Results: Participant 1's average heart rate was 71 t/min in the laboratory, 87 t/min in the natural environment; Participant 2's was 87 t/min in the laboratory, 92 t/min in the natural environment. Participant 1's mean RMSSD was 53 milliseconds(ms) in the laboratory, 30 ms in the natural environment; Participant 2's was 15 ms in the laboratory, 11 ms in the natural environment. Participant 1's mean SD1 was 34 % in the lab, 31 % in the natural environment; Participant 2's was 25 % in the lab, 36 % in the natural environment. Participant 1's SD2...
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Analysis of heart rate variability (HRV) during the selection process for the COMMANDOS group
Zýka, Erik ; Maleček, Jan (advisor) ; Sovák, Libor (referee)
Title: Analysis of Heart Rate Variability (HRV) during the Selection Process for the COMMANDOS Group. Objectives: The aim of this study was to analyze changes in heart rate variability among individual participants during the selection process for the COMMANDOS group and to compare them with each other. Methods: This theoretical-empirical study focused on monitoring changes in heart rate variability (HRV) during the selection process for the COMMANDOS group, which lasted from Friday 2 PM until Sunday noon. The research sample consisted of 15 students physically and mentally demanding selection process led to the gradual dropout of participants, with only two completing the entire measurement. The initial measurement was taken on Friday at 14:00, and further measurements were taken at least twice a day, with intervals not exceeding 10 hours between measurements, totaling 7 measurements. Flexi Guard measuring systems, which allow long-term telemetric monitoring of health- physiological parameters in real time, were used for the measurement. Before the start of the selection process, participants completed a resilience questionnaire to assess their mental resilience. During the measurements, responses to the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Perceived...
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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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Application for HRV analysis
Podbrežný, Viliam ; Šíma, Jan (referee) ; Němcová, Andrea (advisor)
This bachelor’s thesis deals with the investigation of heart rate variability (HRV). It describes in detail the physiological principles of HRV, its clinical significance and methods of its analysis. It deals with Poincaré’s map in more detail. The work also includes the implementation of an algorithm for rendering a real-time Poincere map with a resolution of the age of points. The algorithm is then part of the application, enabling a complex analysis of the HRV signal, obtained either from the chest belt or by various methods of offline acquisition.
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Preprocessing of R-R interval tachogram
Had, Filip ; Kozumplík, Jiří (referee) ; Kubičková, Alena (advisor)
Heart rate variability (HRV) is a parameter, which monitors variability of the time intervals between consecutive heart beats. Signal HRV contains artefacts and trends, which is necessary to remove before further processing. This work contains a brief information about the HRV and ECG signal processing. Further on the most frequently methods of heart rate variability preprocessing are described. The work includes a brief assessment of each method. Further on, several of the mentioned preprocessing algorithms are realized and described in this work. The last part is testing an evaluating of programmed algorithms on generated data and then demonstration on real data.
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Use of HRV analysis for automatic detection of ischemia in animal isolated heart
Vykoupil, Pavel ; Vítek, Martin (referee) ; Ronzhina, Marina (advisor)
This paper deals with HRV analysis, creating segments for this analysis, calculating HRV parameters and their classification for automatic detection of ischemia. First part of the work is dedicated to theoretical describtion of heart anatomy, ECG reading, its processing and methods of HRV analysis. Next part of this work outline the principle of creating segments used for calculation of HRV parameters. Last part of the work indtroduces classification of said parameters with the help of multilayered neural networks and finding their best possible setup based on least classification error and computing time achieved. Calculation of HRV parameters and classification was realized using software Matlab.
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