Marcus Vollmer

According to our database1, Marcus Vollmer authored at least 12 papers between 2014 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Efficiency of Different Heartbeat Detection Methods by Using Alternative Noise Reduction Algorithms.
Proceedings of the Computing in Cardiology, 2022

2021
Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
ECG Segmentation Using a Neural Network as the Basis for Detection of Cardiac Pathologies.
Proceedings of the Computing in Cardiology, 2020

2019
Time-Specific Metalearners for the Early Prediction of Sepsis.
Proceedings of the 46th Computing in Cardiology, 2019

Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts.
Proceedings of the 46th Computing in Cardiology, 2019

HRVTool - an Open-Source Matlab Toolbox for Analyzing Heart Rate Variability.
Proceedings of the 46th Computing in Cardiology, 2019

Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights.
Proceedings of the Artificial Intelligence in Medicine, 2019

2017
Can Supervised Learning Be Used to Classify Cardiac Rhythms?.
Proceedings of the Computing in Cardiology, 2017

Arrhythmia Classification in Long-Term Data Using Relative RR Intervals.
Proceedings of the Computing in Cardiology, 2017

Noise Resistance of Several Top-Scored Heart Beat Detectors.
Proceedings of the Computing in Cardiology, 2017

2015
A Robust, Simple and Reliable Measure of Heart Rate Variability using Relative RR Intervals.
Proceedings of the Computing in Cardiology, 2015

2014
Robust Detection of Heart Beats using Dynamic Thresholds and Moving Windows.
Proceedings of the Computing in Cardiology, CinC 2014, 2014


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