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2021
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tom R. 89, nr 9
21--25
PL
Artykuł przedstawia zbiór automatyk i funkcji reklozera KTR 27 (Rec25_Al) firmy Tavrida Electric. Omawia szerzej kluczowe funkcje zaimplementowane w najnowszej wersji oprogramowania reklozera.
EN
The article presents a group of automatics and functionalities of Tavrida Electric KTR 27 (Rec25_Al) recloser. It describes in more detail the key functions implemented in the latest version of recloser software.
EN
Heart rate is constantly changing under the influence of many control signals, as manifested by heart rate variability (HRV). HRV is a nonstationary, irregularly sampled signal, the spectrum of which reveals distinct bands of high, low, very low and ultra-low frequencies (HF, LF, VLF, ULF). VLF and ULF components are the least understood, and their analysis requires HRV records lasting many hours. Moreover, there are still no well-established methods for the reliable extraction of these components. The aim of this work was to select, implement and compare methods which can solve this problem. The performance of multiband filtering (MBF), empirical mode decomposition and the short-time Fourier transform was tested, using synthetic HRV as the ground truth for methods evaluation as well as real data of three patients selected from 25 polysomnographic records with a clear HF component in their spectrograms. The study provided new insights into the components of long-term HRV, including the character of its amplitude and frequency modulation obtained with the Hilbert transform. In addition, the reliability of the extracted HF, LF, VLF and ULF waveforms was demonstrated, and MBF turned out to be the most accurate method, though the signal is strongly nonstationary. The possibility of isolating such waveforms is of great importance both in physiology and pathophysiology, as well as in the automation of medical diagnostics based on HRV.
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