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Vaidotas Marozas
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2020 – today
- 2024
- [j33]Vilma Plusciauskaite, Monika Butkuviene, Andrius Rapalis, Vaidotas Marozas, Leif Sörnmo, Andrius Petrenas:
An objective approach to identifying individual atrial fibrillation triggers: A simulation study. Biomed. Signal Process. Control. 87(Part A): 105369 (2024) - [j32]Monika Butkuviene, Andrius Petrenas, Alba Martín-Yebra, Vaidotas Marozas, Leif Sörnmo:
Characterization of Atrial Fibrillation Episode Patterns: A Comparative Study. IEEE Trans. Biomed. Eng. 71(1): 106-113 (2024) - [j31]Mantas Rinkevicius, Jesús Lázaro, Eduardo Gil, Pablo Laguna, Peter H. Charlton, Raquel Bailón, Vaidotas Marozas:
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation. IEEE J. Biomed. Health Informatics 28(10): 6155-6167 (2024) - 2023
- [j30]Birute Paliakaite, Andrius Solosenko, Saulius Daukantas, Neda Kusleikaite-Pere, Ruta Vaiciuniene, Vaidotas Marozas, Andrius Petrenas:
Wrist photoplethysmography-based assessment of ectopic burden in hemodialysis patients. Biomed. Signal Process. Control. 84: 104860 (2023) - [j29]Mantas Rinkevicius, Peter H. Charlton, Raquel Bailón, Vaidotas Marozas:
Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography. Sensors 23(4): 2220 (2023) - [j28]Lorenzo Bachi, Hesam Halvaei, Cristina Pérez, Alba Martín-Yebra, Andrius Petrenas, Andrius Solosenko, Linda Johnson, Vaidotas Marozas, Juan Pablo Martínez, Esther Pueyo, Martin Stridh, Pablo Laguna, Leif Sörnmo:
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions. IEEE Trans. Biomed. Eng. 70(12): 3449-3460 (2023) - [c32]Vilma Plusciauskaite, Monika Butkuviene, Andrius Solosenko, Karolina Janciuleviciute, Vaidotas Marozas, Leif Sörnmo, Andrius Petrenas:
Detection of Pre- and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living. CinC 2023: 1-4 - [c31]Andrius Rapalis, Daivaras Sokas, Vilma Plusciauskaite, Sofija Jurgionyte, Zivile Stankeviciute, Jesús Lázaro, Asta Savaneviciene, Raquel Bailón, Eugenijus Kaniusas, Vaidotas Marozas:
Photoplethysmogram Morphology in Stress: from Mental to Pain to Physical Activity-Induced Stress. CinC 2023: 1-4 - [c30]Mohammad Shahbakhti, Matin Beiramvand, Roza Krycinska, Erfan Nasiri, Wei Chen, Jordi Solé-Casals, Michal Wierzchon, Anna Broniec-Wójcik, Piotr Augustyniak, Vaidotas Marozas:
A Reliable Method to Estimate the Bispectral Index Value Using a Single Frontal EEG Channel for Intra and Inter Subject Variability. MeMeA 2023: 1-5 - 2022
- [j27]Peter H. Charlton, Panicos A. Kyriacou, Jonathan Mant, Vaidotas Marozas, Philip J. Chowienczyk, Jordi Alastruey:
Wearable Photoplethysmography for Cardiovascular Monitoring. Proc. IEEE 110(3): 355-381 (2022) - [j26]Ana Santos Rodrigues, Rytis Augustauskas, Mantas Lukosevicius, Pablo Laguna, Vaidotas Marozas:
Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs. Sensors 22(14): 5414 (2022) - [j25]Mohammad Shahbakhti, Matin Beiramvand, Izabela Rejer, Piotr Augustyniak, Anna Broniec-Wójcik, Michal Wierzchon, Vaidotas Marozas:
Simultaneous Eye Blink Characterization and Elimination From Low-Channel Prefrontal EEG Signals Enhances Driver Drowsiness Detection. IEEE J. Biomed. Health Informatics 26(3): 1001-1012 (2022) - [c29]Ana Santos Rodrigues, Birute Paliakaite, Saulius Daukantas, Andrius Solosenko, Andrius Petrenas, Vaidotas Marozas:
Personalized Evaluation of Life-threatening Conditions in Chronic Kidney Disease Patients: The Concept of Wearable Technology and Case Analysis. BIOSIGNALS 2022: 244-250 - [c28]Vilma Plusciauskaite, Andrius Rapalis, Monika Butkuviene, Vaidotas Marozas, Leif Sörnmo, Andrius Petrenas:
Modeling of the Effect of Alcohol on Episode Patterns in Atrial Fibrillation. CinC 2022: 1-4 - 2021
- [j24]Mohammad Shahbakhti, Ana Santos Rodrigues, Piotr Augustyniak, Anna Broniec-Wójcik, Andrius Solosenko, Matin Beiramvand, Vaidotas Marozas:
SWT-kurtosis based algorithm for elimination of electrical shift and linear trend from EEG signals. Biomed. Signal Process. Control. 65: 102373 (2021) - [j23]Birute Paliakaite, Andrius Petrenas, Andrius Solosenko, Vaidotas Marozas:
Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias. Biomed. Signal Process. Control. 66: 102421 (2021) - [j22]Mantas Jucevicius, Rimantas Oziunas, Mindaugas Mazeika, Vaidotas Marozas, Darius Jegelevicius:
Accelerometry-Enhanced Magnetic Sensor for Intra-Oral Continuous Jaw Motion Tracking. Sensors 21(4): 1409 (2021) - [j21]Mikael Henriksson, Alba Martín-Yebra, Monika Butkuviene, Jakob Gulddahl Rasmussen, Vaidotas Marozas, Andrius Petrenas, Aleksei Savelev, Pyotr G. Platonov, Leif Sörnmo:
Modeling and Estimation of Temporal Episode Patterns in Paroxysmal Atrial Fibrillation. IEEE Trans. Biomed. Eng. 68(1): 319-329 (2021) - [j20]Spyridon Kontaxis, Eduardo Gil, Vaidotas Marozas, Jesús Lázaro, Esther García, Mar Posadas-de Miguel, Sara Siddi, Maria Luisa Bernal, Jordi Aguiló, Josep Maria Haro, Concepción de la Cámara, Pablo Laguna, Raquel Bailón:
Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression. IEEE Trans. Biomed. Eng. 68(4): 1273-1281 (2021) - [j19]Monika Butkuviene, Andrius Petrenas, Andrius Solosenko, Alba Martín-Yebra, Vaidotas Marozas, Leif Sörnmo:
Considerations on Performance Evaluation of Atrial Fibrillation Detectors. IEEE Trans. Biomed. Eng. 68(11): 3250-3260 (2021) - [c27]Daivaras Sokas, Andrius Rapalis, Andrius Petrenas, Saulius Daukantas, Vaidotas Marozas:
Evaluation of Stair Climbing as an Approach for Estimating Heart Rate Recovery in Daily Activities. BIOSIGNALS 2021: 21-25 - [c26]Monika Butkuviene, Andrius Petrenas, Andrius Solosenko, Alba Martín-Yebra, Vaidotas Marozas, Leif Sörnmo:
Atrial Fibrillation Episode Patterns and Their Influence on Detection Performance. CinC 2021: 1-4 - [c25]Birute Paliakaite, Peter H. Charlton, Andrius Rapalis, Vilma Plusciauskaite, Povilas Piartli, Eugenijus Kaniusas, Vaidotas Marozas:
Blood Pressure Estimation Based on Photoplethysmography: Finger Versus Wrist. CinC 2021: 1-4 - [c24]Mantas Rinkevicius, Andrius Rapalis, Vilma Plusciauskaite, Povilas Piartli, Eugenijus Kaniusas, Vaidotas Marozas:
Low-Exertion Testing of Autonomic Cardiovascular Integrity Through PPG Signal Analysis. CinC 2021: 1-4 - [c23]Ana Santos Rodrigues, Mantas Lukosevicius, Vaidotas Marozas:
A Fast Algorithm for Facilitating Heartbeat Annotation in Long-Term ECG Signals. CinC 2021: 1-4 - 2020
- [j18]Ana Santos Rodrigues, Andrius Petrenas, Birute Paliakaite, Neda Kusleikaite-Pere, Gediminas Jarusevicius, Inga Arune Bumblyte, Pablo Laguna, Vaidotas Marozas:
Noninvasive Monitoring of Potassium Fluctuations During the Long Interdialytic Interval. IEEE Access 8: 188488-188502 (2020) - [c22]Spyridon Kontaxis, Alba Martín-Yebra, Andrius Petrenas, Vaidotas Marozas, Raquel Bailón, Pablo Laguna, Leif Sörnmo:
Investigating Respiratory Rate Estimation During Paroxysmal Atrial Fibrillation Using an Improved ECG Simulation Model. CinC 2020: 1-4 - [c21]Alba Martín-Yebra, Mikael Henriksson, Monika Butkuviene, Vaidotas Marozas, Andrius Petrenas, Aleksei Savelev, Pyotr G. Platonov, Leif Sörnmo:
Model-Based Characterization of Atrial Fibrillation Episodes and its Clinical Association. CinC 2020: 1-4
2010 – 2019
- 2019
- [j17]Daivaras Sokas, Andrius Petrenas, Saulius Daukantas, Andrius Rapalis, Birute Paliakaite, Vaidotas Marozas:
Estimation of Heart Rate Recovery after Stair Climbing Using a Wrist-Worn Device. Sensors 19(9): 2113 (2019) - [c20]Spyridon Kontaxis, Raquel Bailón, Andrius Rapalis, Marius Brazaitis, Margarita Cernych, Jesús Lázaro, Pablo Laguna, Eduardo Gil, Vaidotas Marozas:
Autonomic Nervous System Response to Heat Stress Exposure by Means of Heart Rate Variability. CinC 2019: 1-4 - [c19]Mantas Rinkevicius, Spyridon Kontaxis, Eduardo Gil, Raquel Bailón, Jesús Lázaro, Pablo Laguna, Vaidotas Marozas:
Photoplethysmogram Signal Morphology-Based Stress Assessment. CinC 2019: 1-4 - 2018
- [j16]Leif Sörnmo, Andrius Petrenas, Mikael Henriksson, Vaidotas Marozas:
Letter regarding the article "Detecting atrial fibrillation by deep convolutional neural networks" by Xia et al. Comput. Biol. Medicine 100: 41-42 (2018) - [j15]Birute Paliakaite, Andrius Petrenas, Mikael Henriksson, Jurgita Skibarkiene, Raimondas Kubilius, Leif Sörnmo, Vaidotas Marozas:
Atrial fibrillation frequency tracking in ambulatory ECG signals: The significance of signal quality assessment. Comput. Biol. Medicine 102: 227-233 (2018) - [j14]Mikael Henriksson, Andrius Petrenas, Vaidotas Marozas, Frida Sandberg, Leif Sörnmo:
Model-Based Assessment of f-Wave Signal Quality in Patients With Atrial Fibrillation. IEEE Trans. Biomed. Eng. 65(11): 2600-2611 (2018) - [j13]Po Yang, Dainius Stankevicius, Vaidotas Marozas, Zhikun Deng, Enjie Liu, Arunas Lukosevicius, Feng Dong, Lida Xu, Geyong Min:
Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 50-64 (2018) - [c18]Monika Simaityte, Andrius Petrenas, Vaidotas Marozas:
Parametrization of Physical Activity Aggregation. BIOSIGNALS 2018: 190-194 - [c17]Ana Rodrigues, Andrius Petrenas, Neda Kusleikaite-Pere, Pablo Laguna, Vaidotas Marozas:
ECG-Based Monitoring of Electrolyte Fluctuations During the Long Interdialytic Interval. CinC 2018: 1-4 - [c16]Monika Simaityte, Andrius Petrenas, Vaidotas Marozas, Mikael Henriksson, Justinas Bacevicius, Audrius Aidietis, Leif Sörnmo:
Quantitative Evaluation of Temporal Episode Patterns in Paroxysmal Atrial Fibrillation. CinC 2018: 1-4 - 2017
- [j12]Andrius Rapalis, Arturas Janusauskas, Vaidotas Marozas, Arunas Lukosevicius:
Estimation of blood pressure variability during orthostatic test using instantaneous photoplethysmogram frequency and pulse arrival time. Biomed. Signal Process. Control. 32: 82-89 (2017) - [j11]Andrius Solosenko, Andrius Petrenas, Vaidotas Marozas, Leif Sörnmo:
Modeling of the photoplethysmogram during atrial fibrillation. Comput. Biol. Medicine 81: 130-138 (2017) - [j10]Birute Paliakaite, Saulius Daukantas, Vaidotas Marozas:
Assessment of pulse arrival time for arterial stiffness monitoring on body composition scales. Comput. Biol. Medicine 85: 135-142 (2017) - [j9]Youbing Zhao, Farzad Parvinzamir, Stephen Wilson, Hui Wei, Zhikun Deng, Nick Portokallidis, Allan Third, George Drosatos, Enjie Liu, Feng Dong, Vaidotas Marozas, Arunas Lukosevicius, Eleni Kaldoudi, Gordon Clapworthy:
Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment. J. Vis. 20(2): 405-413 (2017) - [c15]Ana Rodrigues, Vaidotas Marozas, Saulius Daukantas, Neda Kusleikaite-Pere, I. Stramaityte, Inga Arune Bumblyte, Eleni Kaldoudi:
Differences between model-based electrocardiogram T Wave features before and after haemodialysis. BioCAS 2017: 1-4 - [c14]Birute Paliakaite, Andrius Petrenas, Jurgita Skibarkiene, Tomas Mickus, Saulius Daukantas, Raimondas Kubilius, Vaidotas Marozas:
Towards Long-term Monitoring of Atrial Fibrillation using Photoplethysmography. BIOSIGNALS 2017: 141-146 - [c13]Swati Banerjee, Raquel Bailón, Jesús Lázaro, Vaidotas Marozas, Pablo Laguna, Eduardo Gil:
A Two Step Gaussian Modelling to Assess PPG Morphological Variability Induced by Psychological Stress. CinC 2017 - [c12]Mikael Henriksson, Andrius Petrenas, Vaidotas Marozas, Frida Sandberg, Leif Sörnmo:
Signal Quality Assessment of F-waves in Atrial Fibrillation. CinC 2017 - [c11]Elena Peralta, Jesús Lázaro, Eduardo Gil, Raquel Bailón, Vaidotas Marozas:
Robust Pulse Rate Variability Analysis from Reflection and Transmission Photoplethysmographic Signals. CinC 2017 - [c10]Andrius Solosenko, Andrius Petrenas, Vaidotas Marozas, Leif Sörnmo:
Photoplethysmogram Modeling During Paroxysmal Atrial Fibrillation: Detector Evaluation. CinC 2017 - 2016
- [j8]Youbing Zhao, Farzad Parvinzamir, Zhikun Deng, Hui Wei, Xia Zhao, Enjie Liu, Feng Dong, Gordon Clapworthy, Arunas Lukosevicius, Vaidotas Marozas, Eleni Kaldoudi:
MyHealthAvatar and CARRE: case studies of interactive visualisation for internet-enabled sensor-assisted health monitoring and risk analysis. IET Networks 5(5): 114-121 (2016) - [c9]Jesús Lázaro, Raquel Bailón, Pablo Laguna, Vaidotas Marozas, Andrius Rapalis, Eduardo Gil:
Difference in Pulse Arrival Time at Forehead and at Finger as a Surrogate of Pulse Transit Time. CinC 2016 - [c8]Youbing Zhao, Farzad Parvinzamir, Hui Wei, Enjie Liu, Zhikun Deng, Feng Dong, Allan Third, Arunas Lukosevicius, Vaidotas Marozas, Eleni Kaldoudi, Gordon Clapworthy:
Visual Analytics for Health Monitoring and Risk Management in CARRE. Edutainment 2016: 380-391 - 2015
- [j7]Andrius Petrenas, Vaidotas Marozas, Leif Sörnmo:
Low-complexity detection of atrial fibrillation in continuous long-term monitoring. Comput. Biol. Medicine 65: 184-191 (2015) - [j6]Andrius Petrenas, Leif Sörnmo, Arunas Lukosevicius, Vaidotas Marozas:
Detection of occult paroxysmal atrial fibrillation. Medical Biol. Eng. Comput. 53(4): 287-297 (2015) - [j5]Andrius Solosenko, Andrius Petrenas, Vaidotas Marozas:
Photoplethysmography-Based Method for Automatic Detection of Premature Ventricular Contractions. IEEE Trans. Biomed. Circuits Syst. 9(5): 662-669 (2015) - [c7]Birute Paliakaite, Saulius Daukantas, Andrius Sakalauskas, Vaidotas Marozas:
Estimation of pulse arrival time using impedance plethysmogram from body composition scales. SAS 2015: 1-4 - 2014
- [c6]Andrius Solosenko, Vaidotas Marozas:
Automatic Premature Ventricular Contraction detection in photoplethysmographic signals. BioCAS 2014: 49-52 - 2013
- [c5]Mantas Lukosevicius, Vaidotas Marozas:
Noninvasive Fetal QRS Detection Using Echo State Network. CinC 2013: 205-208 - [c4]Andrius Petrenas, Leif Sörnmo, Vaidotas Marozas, Arunas Lukosevicius:
A Noise-Adaptive Method for Detection of Brief Episode Paroxysmal Atrial Fibrillation. CinC 2013: 739-742 - 2012
- [j4]Andrius Petrenas, Vaidotas Marozas, Leif Sörnmo, Arunas Lukosevicius:
An Echo State Neural Network for QRST Cancellation During Atrial Fibrillation. IEEE Trans. Biomed. Eng. 59(10): 2950-2957 (2012) - [c3]Martynas Patasius, Vaidotas Marozas, Darius Jegelevicius, Arunas Lukosevicius:
Modification of drusen border detection algorithm based on flooding simulation. CBMS 2012: 1-4 - 2011
- [c2]Andrius Petrenas, Vaidotas Marozas, Arunas Lukosevicius:
Ventricular activity cancellation in ECG using an adaptive echo state network. IDAACS (1) 2011: 378-382 - [c1]Saulius Daukantas, Vaidotas Marozas, Arunas Lukosevicius, Darius Jegelevicius, Darius Kybartas:
Video and inertial sensors based estimation of kinematical parameters in swimming sport. IDAACS (1) 2011: 408-411 - 2010
- [j3]Arturas Janusauskas, Vaidotas Marozas, Arunas Lukosevicius, Leif Sörnmo:
Detection of Hearing Loss in Audiological Frequencies from Transient Evoked Otoacoustic Emissions. Informatica 21(2): 191-204 (2010)
2000 – 2009
- 2008
- [p1]Rytis Jurkonis, Vaidotas Marozas, Arunas Lukosevicius:
Ultrasound Medical Diagnostics Laboratory for Remote Learning in EVICAB*Campus. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 453-456 - 2006
- [j2]Arturas Janusauskas, Vaidotas Marozas, Arunas Lukosevicius, Leif Sörnmo:
The Hilbert-Huang Transform for Detection of Otoacoustic Emissions and Time-Frequency Mapping. Informatica 17(1): 25-38 (2006) - [j1]Vaidotas Marozas, Arturas Janusauskas, Arunas Lukosevicius, Leif Sörnmo:
Multiscale Detection of Transient Evoked Otoacoustic Emissions. IEEE Trans. Biomed. Eng. 53(8): 1586-1593 (2006)
Coauthor Index
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