M
Martin Vitek
Researcher at Brno University of Technology
Publications - 43
Citations - 585
Martin Vitek is an academic researcher from Brno University of Technology. The author has contributed to research in topics: QRS complex & Wavelet transform. The author has an hindex of 11, co-authored 36 publications receiving 372 citations.
Papers
More filters
Journal ArticleDOI
Adaptive Wavelet Wiener Filtering of ECG Signals
TL;DR: This study focused on the reduction of broadband myopotentials (EMG) in ECG signals using the wavelet Wiener filtering with noise-free signal estimation and used the dyadic stationary wavelet transform (SWT) in the Wiener filter as well as in estimating the noise- free signal.
Journal ArticleDOI
ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study.
Lucie Marsanova,Marina Ronzhina,Radovan Smisek,Radovan Smisek,Martin Vitek,Andrea Němcová,Lukas Smital,Marie Nováková +7 more
TL;DR: The paper introduces the results of a complex study, where various aspects of automatic classification of various heartbeat types have been addressed, and non-ischemic, ischemic and subsequent ventricular premature beats were classified in this combination for the first time.
Journal ArticleDOI
Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone
Andrea Nemcova,Ivana Jordanova,Martin Varecka,Radovan Smisek,Radovan Smisek,Lucie Marsanova,Lukas Smital,Martin Vitek +7 more
TL;DR: The possibility of using the smartphone as a fast alternative to conventional and specialized devices for SpO2, HR, and BP estimation was statistically proven and the smartphone quantum efficiency did not have to be known.
Journal ArticleDOI
A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression
TL;DR: An overview of objective algorithms for the assessment of both ECG signal quality after compression and compression efficiency and a combination of these methods are recommended: PSim SDNN, QS, SNR1, MSE, PRDN1, MAX, STDERR, and WEDD SWT.
Journal ArticleDOI
Classification of genomic signals using dynamic time warping
TL;DR: Classification of genomic signals using dynamic time warping is an adequate variant to phylogenetic analysis using the symbolic DNA sequences alignment; in addition, it is robust, quick and more precise technique.