Lukás Smital

According to our database, Lukás Smital authored at least 15 papers between 2011 and 2022.

Collaborative distances:

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

2022

Aerobic Fitness Level Estimation Using Wearables.

Radovan Smísek, Andrea Nemcová, Lukás Smital, Daniela Chlibkova, Martin Králik, Jana Kolarova, Vojtech Myska, Martin Kolarík, Michal Harvanek, Jakub Arm, Ondrej Bastan, Martin Pospísil, Jan Sima, Jaromir Hubalek

Proceedings of the Computing in Cardiology, 2022

Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes.

Lucie Saclova, Andrea Nemcová, Jiri Sacl, Marina Ronzhina, Radovan Smísek, Lukás Smital, Martin Vítek

Proceedings of the Computing in Cardiology, 2022

2021

Respiratory Rate Estimation Using the Photoplethysmogram: Towards the Implementation in Wearables.

Jirí Kozumplík, Lukás Smital, Andrea Nemcová, Marina Ronzhina, Radovan Smísek, Lucie Marsánová, Martin Králik, Martin Vítek

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

2020

Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions.

Lukás Smital, Clifton R. Haider, Martin Vítek, Pavel Leinveber, Pavel Jurák, Andrea Nemcová, Radovan Smísek, Lucie Marsánová, Ivo Provazník, Christopher L. Felton, Barry K. Gilbert, David R. Holmes III

IEEE Trans. Biomed. Eng., 2020

Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone.

Andrea Nemcová, Ivana Jordanova, Martin Varecka, Radovan Smísek, Lucie Marsánová, Lukás Smital, Martin Vítek

Biomed. Signal Process. Control., 2020

Robust QRS Detection Using Combination of Three Independent Methods.

Lukás Smital, Lucie Marsánová, Radovan Smísek, Andrea Nemcová, Martin Vítek

Proceedings of the Computing in Cardiology, 2020

Cardiac Pathologies Detection and Classification in 12-lead ECG.

Radovan Smísek, Andrea Nemcová, Lucie Marsánová, Lukás Smital, Martin Vítek, Jirí Kozumplík

Proceedings of the Computing in Cardiology, 2020

Biometric Authentication Using the Unique Characteristics of the ECG Signal.

Tomas Repcik, Veronika Polakova, Vojtech Waloszek, Michal Nohel, Lukás Smital, Martin Vítek, Radim Kolár

Proceedings of the Computing in Cardiology, 2020

Single-Feature Method for Fast Atrial Fibrillation Detection in ECG Signals.

Lucie Marsánová, Andrea Nemcová, Radovan Smísek, Martin Vítek, Lukás Smital

Proceedings of the Computing in Cardiology, 2020

2017

Clinical accuracy QRS detector with automatic parameter adjustment in an autonomous, real-time physiologic monitor.

Samuel Cerqueira Pinto, Christopher Felton, Lukás Smital, Barry K. Gilbert, David R. Holmes III, Clifton R. Haider

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Efficient implementation of Stockwell Transform for real-time embedded processing of physiologic signals.

David R. Holmes, Samuel Cerqueira Pinto, Christopher Felton, Lukás Smital, Pavel Leinveber, Pavel Jurák, Barry K. Gilbert, Clifton R. Haider

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation.

Radovan Smísek, Jakub Hejc, Marina Ronzhina, Andrea Nemcová, Lucie Marsánová, Jirí Chmelík, Jana Kolárová, Ivo Provazník, Lukás Smital, Martin Vítek

Proceedings of the Computing in Cardiology, 2017

2016

Towards real-time QRS feature extraction for wearable monitors.

Lukás Smital, Clifton R. Haider, Pavel Leinveber, Pavel Jurák, Barry K. Gilbert, David R. Holmes

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2013

Adaptive Wavelet Wiener Filtering of ECG Signals.

Lukás Smital, Martin Vítek, Jirí Kozumplík, Ivo Provazník

IEEE Trans. Biomed. Eng., 2013

2011

Optimization of the wavelet Wiener filtering for ECG signals.

Lukás Smital, Martin Vítek, Jirí Kozumplík

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011