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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 %.
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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.
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LabView and biosignal analysis
Kutílek, Miloš ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This bachelor’s thesis deals with the analysis of biological signals in LabView environment. Mainly it focuses on the analysis of ECG signals. The thesis also describes the theory of electrocardiogram and occupies by several programs which consider various approaches to digital filtering of ECG signals, programs for detection R wave by different ways and simple cardiology monitor.
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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.
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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.
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Heart rate measurement system with wireless data transmission
Valenta, Jakub ; Arm, Jakub (referee) ; Michalík, David (advisor)
The presented Bachelor's thesis covers the topics of designing and manufacturing a device used for measurement of a car driver's pulse frequency. An electrocardiogram is used to measure cardiac activity. The measured data is sent wirelessly to a local server where it's stored in a prepared database. Correct function of the device is demonstrated through an experiment performed in the second part of the work.
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ECG monitor in LabVIEW
Pavlišta, Libor ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
The main purpose of this work is to get know about ECG signal, its genesis and relationship between mechanical and electrical part of the heart. Furthermore about the detailed disassembly of parts, for example of QRS complex, the determination of faulty statuses, the calculation of heartbeat frequence. We will take a look into the patient's monitors. We will get know about the measuring of ECG signal and how to treat the input signal to eliminate the undesirable components of signal, for example unwanted network noise - so-called network brum. We will study the concept of simple monitoring system with th draft of necessary filter in LabView program. We will construct alarms for some cardiac abnormalities, such as premature heart contractions. We will calculate heart rate. We will retrieve of data from an external source and we will prepare the appropriate graphical user interface.
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