National Repository of Grey Literature 78 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
ECG quality evaluation
Bracková, Michaela ; Němcová, Andrea (referee) ; Smital, Lukáš (advisor)
This diploma thesis deals with the topic of the ECG quality evaluation. The theoretical part of the thesis contains an overview of the methods, which were studied and an explanation of the basic principles connected with the quality evaluation of the ECG signals. The practical part deals with the implementation of three selected methods, one of which is the continuous evaluation of signal quality by means of SNR (signal to noise ratio) calculation. The results of these methods are further discussed and compared.
Accelerometer-based quality estimation and segmentation of ECG signal and compression of high-quality segments
Opravilová, Kamila ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This diploma thesis is devoted to segmentation of ECG signal based on its quality and compression of quality segments suitable for diagnostics (in telemedicine). A completely new approach is to use accelerometer data to estimate ECG signal quality. This is possible thanks to the Bittium Faros mobile recorder. It records both the ECG signal motion – accelerometric data. A total of 34 features were extracted from accelerometric data. Using these features the predictive model was taught to classify the ECG signal into 3 quality groups according to the level of noise. Quality segments were compressed. The wavelet transform in combination with high-frequency bands zeroing and length encoding was used as a compression method.
Outside noise measuring with Raspberry Pi
Kyjovský, Ondřej ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
The diploma thesis deals with the measurement of noise from road transport. The goal of the thesis is to get acquainted with the issue of noise measurement from road traffic and the subsequent creation of noise maps. Noise measurement is carried out using Raspberry Pi.
Detection of ventricular arrhythmia in long-term ECG signals
Khaliullina, Sabina ; Smital, Lukáš (referee) ; Maršánová, Lucie (advisor)
Detection of premature ventricular contraction in long-term ECG signals is an important task in medicine. This work briefly describes the cardiac activity and the manifestations of ventricular extrasystoles in the ECG record. Methods are described for automatic detection of premature contractions. The main content of the work is the implementation of two selected methods in the MATLAB program environment, combining the classifier from the first method and parameters from the second method, testing and evaluating the success of the obtained results.
Comparison of heart activity sensing devices
Babicová, Martina ; Smital, Lukáš (referee) ; Smíšek, Radovan (advisor)
The goal of this work is comparison of heart activity sensing devices. However, an ECG record cannot be evaluated with the presence of muscle interference. Removing this noise is one of the needs for device success. The theoretical part represents electrophysiology of the heart, electrocardiography, various interferences types, theoretical basis for recording of biosignals including used devices and methods signal quality estimation. The practical part is SNR (signal-to-noise ratio) calculation. The Wavelet filter and Wiener filter-based wavelet domain are used to separate the useful and noise component.
ECG quality evaluation
Scholasterová, Viktorie ; Němcová, Andrea (referee) ; Smital, Lukáš (advisor)
This bachelor’s thesis deals with ECG quality evaluation. Its main goal is to examine the theoretical basis for a realization of selected methods for ECG quality evaluation. In the theoretical part of the thesis there is described electrocardiography, morphology of electrocardiogram, types of signal interference and Holter recorders. A basic procedure of ECG quality evaluation including filtration, detection of important characteristics of ECG signal and an overview of chosen methods follows. The practical part contains a description of three methods for ECG quality evaluation – a method of average heart rate, a method of calculation signal-to-noise ratio (SNR) and a method of band-pass filters. Finally, the results of the methods using artificial data, real-time data and data from a competition PhysioNet/Computing in Cardiology Challenge 2011 are evaluated.
Smartphone-based fall detection
Strejček, Jakub ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This bachelor thesis deals with basic processing of data from accelerometer in smartphone, which is used for fall detection of people. By right detection we could prevent many serious injuries caused by delayed help to people, who were unable to call for help. This paper focuses on the mechanisms of falls and their characteristics and also on hardware used for fall detection. Furthermore, already created Android applications from Google Play and their functionality are studied. In addition to that there were collected data about people falls and an algorithm for detection of fall was created in Matlab. Android smartphone application was developed and tested in this work.
ECG quality estimation
Pospíšil, Jan ; Smíšek, Radovan (referee) ; Smital, Lukáš (advisor)
This bachelor thesis deals with the question of estimation of the quality of the ECG signals, which is a key parameter for determining the diagnosis. The theoretical part deals with the basic knowledge concerning cardiac physiology, electrocardiography and finally the types of interferences that can occur during the measurement. The following practical part will deal with the published methods and the proposal of methods for estimating signal quality and their testing on artificial and real data.
Basic fingerprint liveness detection
Horák, Tomáš ; Smital, Lukáš (referee) ; Kašpar, Jakub (advisor)
This work focuses on recognizing fingerprints liveness based purely on software-methods evaluating symptoms from just one fingerprint image. At first in this work was described the issue of biometry as such, comparing the advantages and disadvantages of such systems. Next part deal with more detailed process of fingerprint biometry including papillary lines and overall fingerprints as such. In the next phase, the problems and utilization of both software and hardware methods are discussed, including principles of individual approaches. This part is followed by a selection of used fingertip symptoms. This is followed by the practical part and the LivDet 2011 database, which was used for finger recognition. In the practical part is also described the used neural network capturing minor differences in fingerprints according to 13 symptoms.
Basic fingerprint liveness detection
Horák, Tomáš ; Smital, Lukáš (referee) ; Kašpar, Jakub (advisor)
Biometric data is unique, safe and often used to protect information. Even in some cases, detectors can be fooled, and therefore liveness is needed to check. This work focuses on the basic recognition of the liveliness of the fingerprint. Only one finger image is used. For perfect recognition, you need to compare the prints, so have more than one print, and that's why this detection is very demanding. Pre-processing was done with a binary segmentation mask. Methods using gray scale ratios, mean, standard deviations or histogram equalization were also used. All the methods were done on the LivDet 2011 database, in the Matlab environment and the goal was to recognize a live fingerprints from a false ones.

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