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Faculty of Electronics, Photonics and Microsystems

Monika Prucnal, PhD

E-mail: monika.a.prucnal@pwr.edu.pl

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

Monika Prucnalul. B. Prusa 53/55, 50-317 Wrocław
building E-1, room 112 A
phone +48 71 320 6247

Office hours

  • Wednesday 13.00-15.00
  • Thursday 8.15-9.15; 10.45-11.15; 12.45-13.15

Recent papers

2017

  • Prucnal M. and Polak A.G., Effect of feature extraction on automatic sleep stage classification by the artificial neural network, Metrol. Meas. Syst., vol. 24, no. 2, pp. 229-240, Jun. 2017.

Papers in DONA database


Selected publications
1
Artykuł
2025
Monika Prucnal, Adam Polak, Przemysław Kazienko,
Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering. Biomedical Signal Processing and Control. 2025, vol. 102, art. 107336, s. 1-12. ISSN: 1746-8094; 1746-8108
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
2
Referat konferencyjny
2024
Adam Polak, Monika Prucnal, Krzysztof Adamczyk,
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:DOIURLSFX
3
Referat konferencyjny
2024
Monika Prucnal, Krzysztof Adamczyk, Adam Polak,
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:DOIURLSFX
4
Artykuł
2023
Monika Prucnal, Adam Polak,
Single-channel EEG processing for sleep apnea detection and differentiation. Metrology and Measurement Systems. 2023, vol. 30, nr 2, s. 323-336. ISSN: 0860-8229; 2300-1941
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
5
Artykuł
2022
Adam Polak, Bartłomiej P Klich, Stanisław Saganowski, Monika Prucnal, Przemysław Kazienko,
Processing photoplethysmograms recorded by smartwatches to improve the quality of derived pulse rate variability. Sensors. 2022, vol. 22, nr 18, art. 7047, s. 1-21. ISSN: 1424-8220
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
6
Referat konferencyjny
2019
Monika Prucnal, Adam Polak,
Effectiveness of sleep apnea detection based on one vs. two symmetrical EEG channels. W: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, July 23-27, 2019, Berlin, Germany. [Danvers, MA : IEEE, cop. 2019]. s. 4056-4059. ISBN: 978-1-5386-1311-5
Zasoby:DOI
7
Artykuł
2019
Monika Prucnal, Adam Polak,
Comparison of information on sleep apnoea contained in two symmetric EEG recordings. Metrology and Measurement Systems. 2019, vol. 26, nr 2, s. 229-239. ISSN: 0860-8229
Zasoby:URLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
8
Referat konferencyjny
2018
Monika Prucnal, Adam Polak,
Analysis of features extracted from EEG epochs by discrete wavelet decomposition and Hilbert transform for sleep apnea detection. W: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC : proceedings, July 17-21, 2018, Hawaii Convention Center, Honolulu, Hawaii. [Danvers, MA] : IEEE, cop. 2018. s. 1-4. ISBN: 978-1-5386-3646-6
Zasoby:DOIURLWeb of Science CC
9
Artykuł
2017
Monika Prucnal, Adam Polak,
Effect of feature extraction on automatic sleep stage classification by artificial neural network. Metrology and Measurement Systems. 2017, vol. 24, nr 2, s. 229-240. ISSN: 0860-8229
Zasoby:URLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access

All publications

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