1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.SP2024
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering
Lucas Plagwitz, Lucas Bickmann, Michael Fujarski +5
Electrocardiogram (ECG) recordings have long been vital in diagnosing different cardiac conditions. Recently, research in the field of automatic ECG processing using machine learni…
cs.LG2022★ 1 cited
Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy
Alexander Brenner, Michael Fujarski, Tobias Warnecke +1
Sensors from smart consumer devices have demonstrated high potential to serve as digital biomarkers in the identification of movement disorders in recent years. With the usage of b…