2022

Books

Charlton, P. H., & Marozas, V. (2022). Wearable photoplethysmography devices. In Photoplethysmography (pp. 401-439). Academic Press. doi.org/10.1016/B978-0-12-823374-0.00011-6

Journal articles

Sološenko, A.; Paliakaitė, B.; Marozas, V.; Sörnmo, L. (2022). Training convolutional neural networks on simulated photoplethysmography data: application to bradycardia and tachycardia detection. Frontiers in Physiology, 13, 928098. DOI: doi.org/10.3389/fphys.2022.928098

Rodrigues, A.; Augustauskas, R.; Lukoševičius, M.; Laguna, P.; Marozas, V. (2022). Deep-learning-based estimation of the spatial QRS-T angle from reduced-lead ECGs. Sensors, 22(14), 5414. DOI: doi.org/10.3390/s22145414

Charlton, P.H., Kyriacou, P.A., Mant, J., Marozas, V., Chowienczyk, P., Alastruey, J., 2022. Wearable Photoplethysmography for Cardiovascular Monitoring. Proceedings of the IEEE 110, 355–381. doi.org/10.1109/jproc.2022.3149785

Charlton, P. H.; Paliakaitė, B.; Pilt, K.; Bachler, M.; Zanelli, S.; Kulin, D.; Allen, J.; Hallab, M.; Bianchini, E.; Mayer, C. C.; Terentes-Printzios, D.; Dittrich, V.; Hametner, B.; Veerasingam, D.; Žikić, D.; Marozas, V. (2022). Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: A review from VascAgeNet. American Journal of Physiology-Heart and Circulatory Physiology, 322(4), H493-H522. DOI: doi.org/10.1152/ajpheart.00392.2021

Armañac-Julián, P.; Kontaxis, S.; Rapalis, A.; Marozas, V.; Laguna, P.; Bailón, R.; Gil, E.; Lázaro, J. (2022). Reliability of pulse photoplethysmography sensors: coverage using different setups and body locations. Frontiers in Electronics: Wearable Electronics. [Accepted]

Conference papers

Rodrigues, A.; Paliakaitė, B.; Daukantas, S.; Sološenko, A.; Petrėnas, A. and Marozas, V. (2022). Personalized Evaluation of Life-threatening Conditions in Chronic Kidney Disease Patients: The Concept of Wearable Technology and Case Analysis. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, ISBN 978-989-758-552-4, pages 244-250. doi.org/10.5220/0010905700003123

2021

Journal articles

Paliakaitė, B., Petrėnas, A., Sološenko, A., & Marozas, V. (2021). Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias. Biomedical Signal Processing and Control, 66, 102421. DOI: doi.org/10.1016/j.bspc.2021.102421

Conference papers

Paliakaitė, B., Charlton, P. H., Rapalis, A., Pluščiauskaitė, V., Piartli, P., Kaniusas, E., & Marozas, V. (2021). Blood pressure estimation based on photoplethysmography: finger versus wrist. 2021 Computing in Cardiology (CinC): September 12–15, Brno, Czech Republic. Vol. 48, pp. 1–4, IEEE. DOI: doi.org/10.23919/CinC53138.2021.9662716

Rodrigues, A. S., Lukoševičius, M., & Marozas, V. (2021). A fast algorithm for facilitating heartbeat annotation in long-term ECG signals. 2021 Computing in Cardiology (CinC): September 12–15, Brno, Czech Republic. Vol. 48, pp. 1–4, IEEE. DOI:doi.org/10.23919/CinC53138.2021.9662850

Software

Sološenko, A., Petrėnas, A., Paliakaitė, B., Marozas, V., & Sörnmo, L. (2021). Model for simulating ECG and PPG signals with arrhythmia episodes (version 1.3.0). PhysioNet. doi.org/10.13026/c5qq-2g72

2020

Journal articles

Rodrigues, A. S., Petrėnas, A., Paliakaitė, B., Kušleikaitė-Pere, N., Jaruševičius, G., Bumblytė, I. A., Laguna, P., & Marozas, V. (2020). Noninvasive monitoring of potassium fluctuations during the long interdialytic interval. IEEE Access, 8, 188488–188502. DOI: doi.org/10.1109/ACCESS.2020.3031471

2019

Journal articles

Sokas, D., Petrėnas, A., Daukantas, S., Rapalis, A., Paliakaitė, B., & Marozas, V. (2019). Estimation of heart rate recovery after stair climbing using a wrist-worn device. Sensors, 19(9), 2113. DOI: https://doi.org/10.3390/s19092113

Conference papers

Paliakaitė, B., Petrėnas, A., Sološenko, A., & Marozas, V. (2019). Photoplethysmogram modeling of extreme bradycardia and ventricular tachycardia. XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019: September 26–28, Coimbra, Portugal. Vol. 76, Springer, Cham. DOI: doi.org/10.1007/978-3-030-31635-8_141

Rinkevičius, Mantas; Kontaxis, Spyridon; Gil, Eduardo; Bailon, Raquel; Lázaro, Jesús; Laguna, Pablo; Marozas, Vaidotas. Photoplethysmogram signal morphology-based stress assessment // Computing in cardiology 2019 (CinC), Singapore, 8-11 September 2019. New York : IEEE, 2019. eISBN 9781728169361. ISSN 2325-8861. eISSN 2325-887X. 2019, vol. 46, p. 1-9. doi.org/10.23919/CinC49843.2019.9005748

2018

Conference papers

Rodrigues, A., Petrėnas, A., Marozas, V., Kušleikaite-Pere, N., & Laguna, P. (2018). ECG-based monitoring of electrolyte fluctuations during the long interdialytic interval. 2018 Computing in Cardiology (CinC): September 23–26, Maastricht, The Netherlands. Vol. 45, pp. 1–4, IEEE. DOI: doi.org/10.22489/CinC.2018.277