Mantas Rinkevicius

According to our database, Mantas Rinkevicius authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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.

Urs Hackstein, Jordi Alastruey, Philip J. Aston, Ciaran Bench, Peter H. Charlton, Loic Coquelin, Nando Hegemann, Vaidotas Marozas, Mohammad Moulaeifard, Manasi Nandi, Andrius Petrenas, Oskar Pfeffer, Mantas Rinkevicius, Andrius Solosenko, Nils Strodthoff, Sara Vardanega

CoRR, April, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

Biomed. Signal Process. Control., 2026

2024

Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation.

Mantas Rinkevicius, Jesús Lázaro, Eduardo Gil, Pablo Laguna, Peter H. Charlton, Raquel Bailón, Vaidotas Marozas

IEEE J. Biomed. Health Informatics, October, 2024

2023

Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography.

Mantas Rinkevicius, Peter H. Charlton, Raquel Bailón, Vaidotas Marozas

Sensors, February, 2023

2021

Low-Exertion Testing of Autonomic Cardiovascular Integrity Through PPG Signal Analysis.

Mantas Rinkevicius, Andrius Rapalis, Vilma Plusciauskaite, Povilas Piartli, Eugenijus Kaniusas, Vaidotas Marozas

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019

Photoplethysmogram Signal Morphology-Based Stress Assessment.

Mantas Rinkevicius, Spyridon Kontaxis, Eduardo Gil, Raquel Bailón, Jesús Lázaro, Pablo Laguna, Vaidotas Marozas

Proceedings of the 46th Computing in Cardiology, 2019