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cs.LG2024★ 1 cited
Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä +3
By generating synthetic biosignals, the quantity and variety of health data can be increased. This is especially useful when training machine learning models by enabling data augme…
cs.LG2024
Empirical investigation of multi-source cross-validation in clinical ECG classification
Tuija Leinonen, David Wong, Antti Vasankari +4
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on patient data from a single source, such as a hospital. Cross-validation methods…