National Repository of Grey Literature 148 records found  1 - 10nextend  jump to record: Search took 0.03 seconds. 
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,...
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.
Estimation of quality and heart rate from PPG signals sensed from face using smartphone
Bartoš, Daniel Viliam ; Ředina, Richard (referee) ; Němcová, Andrea (advisor)
This thesis explores the processing and capturing of photoplethysmographic signals (PPG), quality assessment of PPG, heart rate estimation, and the potential for capturing signals using a smartphone. The main objective of the thesis is to obtain PPG signals from facial video using a smartphone camera. Methods will be suggested to assess the quality of PPG signals and calculate the heart rate.
Porovnání metod tréninku a přípravy koní pro vytrvalostní soutěže rozdílných stupňů výkonnosti
BERNARDOVÁ, Eliška
The aim of the bachelor thesis was to analyse the course of training and sport season of selected horses competing in various levels of endurance competitions. Three horses with differential performance were monitored. The following parameters of training were monitored on the selected horses: distance, speed, elevation, time and work in individual courses. Moreover, management, feeding regimen, the types of healthcare treatment and physiological parameters on selected horses were recorded.
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.
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.
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.
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.

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