Student EEICT 2018
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- ItemVerification And Adjustment Of Hf-Ecg Preprocessing In Experimental Cardiology(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018) Novotna, PetraThe aim of this article is to propose an approach to High-Frequency ECG (HF-ECG) preprocessing with an intention to verify the settled methods of signal preprocessing in the perspective of the new requirements and possibilities in the area of signal processing. The method using Butterworth filters is often used. Nevertheless, for the presented type of analysis is not suitable. FIR filtering alongside with clustering and signal averaging were used for preprocessing of data from isolated rabbit hearts. Frequency bands for further analysis were chosen according to the estimated SNR (signal-to-noise ratio).
- ItemPixel-Wise Segmentation Of The Blood Vessels Using Random Forests(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018) Hesko, BranislavThis paper presents segmentation of the blood vessels in retinal images. First, a serie of feature detectors is applied in form of multiple filters. Then, each pixel is classified using random forests, which was trained on labeled images. Promising results have currently been achieved.
- ItemThe Importance Of Specifying Rr Interval Normalization Method(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018) Milek, JakubThe main objective of this article is to bring attention to RR intervals resampling. Many researchers dealing with HRV problematic neglect to mention which algorithm they are using in their research. Some of the commonly used methods are presented here and how an algorithm choice can affect final results of HRV spectral analysis is shown. Power spectrum for each method was computed and power of commonly used measures (HF & LF) is presented in table to highlight the possible differences.
- ItemApplication Of Optimization Algorithms To The Genome Assembly(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018) Jugas, RobinThe paper results from development of new sequencing methods together with the need of suitable genome assembly algorithms. It combines the genomic signal processing, correlation techniques and optimization algorithms for solving assembly task. Genomic signals are made by conversion of letter-based DNA into the form of digital signal, thus the methods of digital signal processing can be applied. Possible overlaps between reads converted into signals are found by computing correlation coefficient similarly to cross-correlation. We acquire similarity matrix and the task is to find the path through it achieving minimum distance criterion. For the task, the two optimization techniques were employed: ant colony optimization (ACO) and simulated annealing (SA). The result implies the possibility of using the ACO at the task of creating path through similarly to graphtheory-based algorithms.
- ItemOptical Fibers Forming For Optical Sensors Research(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018) Jelínek, MichalWe present development of new methods and techniques of the splicing and shaping optical fibers with focusing to development new sensors. We developed new techniques of splicing for standard Single Mode (SM) and Multimode (MM) optical fibers and optical fibers with different diameters in the wavelength range from 532 to 1550 nm. Together with development these techniques we prepared other techniques to splicing and shaping special optical fibers like as Polarization-Maintaining (PM) or hollow core Photonic Crystal Fiber (PCF) and theirs cross splicing methods with focus to minimize backreflection and attenuation. Splicing special optical fibers, especially PCF fibers with standard telecommunication and other SM fibers, can be done by light adjustment of our developed techniques.