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Faculty of Electronics, Photonics and Microsystems

mgr inż. Krzysztof Adamczyk

Email: krzysztof.adamczyk@pwr.edu.pl

Structure: Faculty of Electronics, Photonics and Microsystems (N) » Department of Electronic and Photonic Metrology

Krzysztof Adamczyk.jpg ul. B. Prusa 53/55, 50-317 Wrocław
building E-1, room 112 A
phone +48 71 320 6247

Office hours

Research fields

Digital signal processing; mathematical and computer modeling; artificial intelligence methods; detection of sleep apnea.

Selected publications

Artykuł

2026

Unveiling the extremely low frequency component of heart rate variability. Applied Sciences. 2026, vol. 16, nr 1, art. 426, s. 1-21. ISSN: 2076-3417
Zasoby:DOI URL SFX

Artykuł

2025

Online algorithm for deriving heart rate variability components and their time–frequency analysis. Applied Sciences. 2025, vol. 15, nr 3, art. 1210, s. 1-19. ISSN: 2076-3417
Zasoby:DOI SFX

Referat konferencyjny

2024

Analysis of the relationship between electrodermal activity and blood glucose level in diabetics. W: Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024 : proceedings. Pt. 1 / eds. Ignacio Rojas [i in.]. Cham : Springer, cop. 2024. s. 250-262. ISBN: 978-3-031-64628-7; 978-3-031-64629-4
Zasoby:DOI URL SFX

Referat konferencyjny

2024

Spectrum filtering to extract pulse rate variability from signals recorded by wearable devices. W: Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024 : proceedings. Pt. 1 / eds. Ignacio Rojas [i in.]. Cham : Springer, cop. 2024. s. 227-240. ISBN: 978-3-031-64628-7; 978-3-031-64629-4
Zasoby:DOI URL SFX

Referat konferencyjny

2021

Derivation of frequency components from overnight heart rate variability using an adaptive variational mode decomposition. W: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, October 30 - November 5, 2021, Virtual Conference. [Danvers, MA : IEEE, cop. 2021]. s. 647-650. ISBN: 978-1-7281-1179-7; 978-1-7281-1178-0
Zasoby:URL

Artykuł

2021

Comparison of multiband filtering, empirical mode decomposition and short-time Fourier transform used to extract physiological components from long-term heart rate variability. Metrology and Measurement Systems. 2021, vol. 28, nr 4, s. 1-17. ISSN: 0860-8229; 2300-1941
Zasoby:DOI SFX