Data Augmentation for Cardiovascular Time Series Data Using WaveNet

IEEE Symposium Series on Computational Intelligence (SSCI), pp. 836–841

Abstract

In this work we present a novel approach for generating cardiovascular data using a modified WaveNet architecture. This can enable further research in areas where data is scarce and hard to obtain. By generating additional time series data in a set of animal tests performance of existing models could be improved and more difficult approaches, that require substantial amounts of data, attempted. We validate our approach on a classification task and compare it to similar methods of data augmentation.

Authors 9

1. Robert Feldhans

   Bielefeld University

   Affiliation as printed

   Bielefeld University,Machine Learning Group,Bielefeld,Germany

   Machine Learning Group, Bielefeld University, Bielefeld, Germany

2. Alexander Schulz

   Bielefeld University

   Affiliation as printed

   Bielefeld University,Machine Learning Group,Bielefeld,Germany

   Machine Learning Group, Bielefeld University, Bielefeld, Germany

3. Johannes Kummert

   Bielefeld University

   Affiliation as printed

   Bielefeld University,Machine Learning Group,Bielefeld,Germany

   Machine Learning Group, Bielefeld University, Bielefeld, Germany

4. Moriz Habigt Aachen Anaesthesiology Clinic Faculty of Medicine

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Anaesthesiology Clinic, Faculty of Medicine,Aachen,Germany

   Anaesthesiology Clinic, Faculty of Medicine, RWTH Aachen University, Aachen, Germany

5. Maike Stemmler Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Aachen,Germany

   Institute of Automatic Control, RWTH Aachen University, Aachen, Germany

6. Christina Kohler Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Aachen,Germany

   Institute of Automatic Control, RWTH Aachen University, Aachen, Germany

7. Dirk Abel Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Aachen,Germany

   Institute of Automatic Control, RWTH Aachen University, Aachen, Germany

8. Rolf Rossaint Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Aachen,Germany

   Institute of Automatic Control, RWTH Aachen University, Aachen, Germany

9. Barbara Hammer

   Bielefeld University

   Affiliation as printed

   Bielefeld University,Machine Learning Group,Bielefeld,Germany

   Machine Learning Group, Bielefeld University, Bielefeld, Germany