National Repository of Grey Literature 236 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Advanced scoring of sleep data
Jagošová, Petra ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
The master´s thesis is focused on advanced scoring of sleep data, which was performed using deep neural network. Heart rate data and the movement information were used for scoring measured using an Apple Watch smartwatch. After appropriate pre-processing, this data serves as input parameters to the designed networks. The goal of the LSTM network was to classify data into either two groups for sleep and wake or into three groups for wake, Non-REM and REM. The best results were achieved by network doing classification of sleep vs. wake using the accelerometer. The statistical evaluation of this best-designed network reached the values of sensitivity 71,06 %, specificity 57,05 %, accuracy 70,01 % and F1 score 81,42 %.
Cardiotachometer
Máca, Kamil ; Číž, Radim (referee) ; Chmelař, Milan (advisor)
This masters thesis describes possibilities of a heart rate measuring. Several methods of measuring will be discussed. The primary objective of this paper is to design battery powered cardiotachometr with a range of 30-240 beats/min and a low battery indication. Cardiotachometer uses the R waves detector to measure heart rate. This thesis is focused on creation of the block diagram, electrical circuit, printed circuit and calculation of electronic device used in cardiotachometers.
Analysis of Heart Rate Variability in Frequency Domain
Vyskočilová, Martina ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This work examines heart rate variability, and a description of the mechanisms influencing changes in heart rate. There is a review of methods used to assess heart rate variability. In another part the data of the measurement are processed and described the proposed method using spectral power, generated by the algorithm description, presentation of results.
Estimation of quality and heart rate from PPG signals recorded from ear using smartphone
Ježek, David ; Smíšek, Radovan (referee) ; Němcová, Andrea (advisor)
This work deals with processing and recording photoplethysmographic signals (PPG), PPG quality assessment, estimation of heart rate and the ability to record biosignals using smartphone. The aim of this work is to capture PPG signals from the ear using a smartphone. Then design an algorithm for PPG quality assessment and an algorithm for heart rate estimation.
Heart rate measurement
Jiřík, Ondřej ; Rampl, Ivan (referee) ; Chmelař, Milan (advisor)
This work deals with the measurement of heart rate parameters. One of the objectives of this work is a summary of methods for measuring heart rate, from which data can be derived heart rate and subsequently evaluated. Also deals with the accuracy of this parameter. It describes the basic characteristics of sensors and applicable in terms of sensitivity to movement. In the work is drawn design of a simple heart rate monitor with a range of 40-200 beats per minute. For the whole device is carried out by the proposal of the printed circuit board in EAGLE program.
Influence of stress on pilot abilities
Procházková, Hana ; Chlebek, Jiří (referee) ; Šplíchal, Miroslav (advisor)
The diploma thesis focuses on measuring the pilot´s stress during real flights. The general methodology is established. This methodology should be followed when measuring stress. This methodology is applied on students and pilots during a real flight. Results show that with the gradual data collection, this methodology could contribute to the long-term goal of setting the tolerable level of stress and help streamline flight training.
PPG signal quality estimation and analysis
Trnková, Simona ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This work focuses on the PPG signals, data acquisition using smartphones, signal characteristic, types of noise, quality estimation and analysis. The aim of the work is to design the alghoritm to signal quality estimation and test this alghoritm using analysis of PPG signals acquired by smartphones.
Mobil system for monitoring of sports activity
Maleňák, Filip ; Čížek, Martin (referee) ; Rozman, Jiří (advisor)
The aim of this master’s thesis is to analyse methods that are used for monitoring athlete’s activities and a description of current technical solutions with a focus on heart rate and respiratory rate monitoring. The presented solution shows the possibilities of using available open source SW and HW technologies and their implementation in the design of an integrated tool for monitoring sports activities with the iOS operating system.
Causal interaction analysis of cardiovascular signals
Tiurina, Mariia ; Kolářová, Jana (referee) ; Svačinová, Jana (advisor)
Application of the non-invasive methods to detection of the baroreflex sensitivity is a correct way to evaluate the functions of cardiovascular system. This master’s thesis describes the theoretical informations about the problem of baroreflex sensitivity from anatomical, patalogical and clinical views. Theoretical knowledges are foundation for mathematical description of some methods to detection of baroreflx sensitivity in time, frequency and information dimensions. In the practical part of the master’s theses are presented two methods of BRS detection – sequence method based on finding the specific sequences of time series signals and method of application bivariante autoregressive model. Both of methods are implemented in MATLAB. The results of testing data on real data are discussed.
Polygraphic measurement of stress
Faltýnková, Květoslava ; Kolář, Radim (referee) ; Bubník, Karel (advisor)
This work deals with polygraphic measurement of stress. The paper describes the physiological manifestations of stress induced as a result of false answers to the question and ways to measure these phenomena. It focuses mainly on changes in heart rate, blood pressure, respiration and skin resistance. It is designed to work in the block diagram of polygraph, described the course of measurement and evaluation. The work is also mention of lie detection using EEG.

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