Andrius Solosenko

Orcid: 0000-0002-1518-9366

According to our database1, Andrius Solosenko authored at least 14 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Benchmark Problems and Benchmark Datasets for the evaluation of Machine and Deep Learning methods on Photoplethysmography signals: the D4 report from the QUMPHY project.
CoRR, April, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.
Biomed. Signal Process. Control., 2026

2023
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions.
IEEE Trans. Biomed. Eng., December, 2023

Wrist photoplethysmography-based assessment of ectopic burden in hemodialysis patients.
Biomed. Signal Process. Control., July, 2023

Detection of Pre- and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living.
Proceedings of the Computing in Cardiology, 2023

2022
Personalized Evaluation of Life-threatening Conditions in Chronic Kidney Disease Patients: The Concept of Wearable Technology and Case Analysis.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Considerations on Performance Evaluation of Atrial Fibrillation Detectors.
IEEE Trans. Biomed. Eng., 2021

SWT-kurtosis based algorithm for elimination of electrical shift and linear trend from EEG signals.
Biomed. Signal Process. Control., 2021

Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias.
Biomed. Signal Process. Control., 2021

Atrial Fibrillation Episode Patterns and Their Influence on Detection Performance.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2017
Modeling of the photoplethysmogram during atrial fibrillation.
Comput. Biol. Medicine, 2017

Photoplethysmogram Modeling During Paroxysmal Atrial Fibrillation: Detector Evaluation.
Proceedings of the Computing in Cardiology, 2017

2015
Photoplethysmography-Based Method for Automatic Detection of Premature Ventricular Contractions.
IEEE Trans. Biomed. Circuits Syst., 2015

2014
Automatic Premature Ventricular Contraction detection in photoplethysmographic signals.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014


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