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Properties of current signals in nanopore sequencing
Plocková, Veronika ; Nykrýnová, Markéta (referee) ; Sedlář, Karel (advisor)
Oxford Nanopore technologies brought new and revolutionary technology in the field of DNA sequencing. Their sequencing device measures changes in the electric current flowing through pores together with DNA. This work aims to describe differences between raw signals produced by various sequencing kits and sequencing flowcells while sequencing several different bacteria. Two datasets combining five different organisms, two sequencing kits, and two types of flowcells were used to analyze various statistical parameters that would be suitable for the description of current signals gathered from nanopores. Finally, the samples were classified using the k-means algorithm and the results were discussed.
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Calculation of speech rate
Galáž, Zoltán ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
his semestral thesis deals with a design of system for calculating the rate of speech. The sys-tem consists of several block, such as signal pre-processing block and its segmentation into smaller parts, block of the feature calculation, block of the feature vector quantization and finally block calculating the actual rate. The first step is a change of the input speech signal into a form suitable for the feature extraction. In next step these features are assigned to the calculated centroids. The change of centroid means change of phonemes. The system will record the following boundaries of fonems contained in speech and calculates its rate.
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Classification of ECG signals using Cluster Analysis
Kremličková, Lenka ; Janoušek, Oto (referee) ; Klimek, Martin (advisor)
This thesis deals with methods of cluster analysis and their applications to short-term recording of the electrocardiogram (ECG). The work describes the physiological properties of the heart and cardiac muscle, as well as its electrical behavior and the formation and ECG. Part of this work is to describe the issue of cluster analysis of biosignals and distribution of clustering methods for hierarchical and non-hierarchical. Are described in detail agglomerative hierarchical method, which is outlined the procedure for the solution. Further described is the use of cluster analysis for classification of ECG and its application to the signals from the CSE. This work assesses which of clustering methods is applied to ECG signals appropriate.
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Properties of current signals in nanopore sequencing
Plocková, Veronika ; Nykrýnová, Markéta (referee) ; Sedlář, Karel (advisor)
Oxford Nanopore technologies brought new and revolutionary technology in the field of DNA sequencing. Their sequencing device measures changes in the electric current flowing through pores together with DNA. This work aims to describe differences between raw signals produced by various sequencing kits and sequencing flowcells while sequencing several different bacteria. Two datasets combining five different organisms, two sequencing kits, and two types of flowcells were used to analyze various statistical parameters that would be suitable for the description of current signals gathered from nanopores. Finally, the samples were classified using the k-means algorithm and the results were discussed.
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Classification of ECG signals using Cluster Analysis
Kremličková, Lenka ; Janoušek, Oto (referee) ; Klimek, Martin (advisor)
This thesis deals with methods of cluster analysis and their applications to short-term recording of the electrocardiogram (ECG). The work describes the physiological properties of the heart and cardiac muscle, as well as its electrical behavior and the formation and ECG. Part of this work is to describe the issue of cluster analysis of biosignals and distribution of clustering methods for hierarchical and non-hierarchical. Are described in detail agglomerative hierarchical method, which is outlined the procedure for the solution. Further described is the use of cluster analysis for classification of ECG and its application to the signals from the CSE. This work assesses which of clustering methods is applied to ECG signals appropriate.
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|
|
Calculation of speech rate
Galáž, Zoltán ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
his semestral thesis deals with a design of system for calculating the rate of speech. The sys-tem consists of several block, such as signal pre-processing block and its segmentation into smaller parts, block of the feature calculation, block of the feature vector quantization and finally block calculating the actual rate. The first step is a change of the input speech signal into a form suitable for the feature extraction. In next step these features are assigned to the calculated centroids. The change of centroid means change of phonemes. The system will record the following boundaries of fonems contained in speech and calculates its rate.
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