Prof. Dr. Erwin Böttinger

Suparno Datta

Research Assistant, PhD Candidate

Phone: +49-(0)331 5509-4817

Room: G-2.2 12/13

Email: suparno.datta(at)hpi.de

Web: LinkedIn

Research Project

  • Machine learning applied to electronic health records and sensor data to detect, manage and monitor hypertension and other cardiovascular disease



  • Sasso, A.M., Datta, S., Jeitler, M., Steckhan, N., Kessler, C.S., Michalsen, A., Arnrich, B., Boettinger, E.: HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population.International Conference on Artificial Intelligence in Medicine. p. 325--335. Springer (2020).


  • Datta, S., Schraplau, A., da Cruz, H.F., Sachs, J.P., Mayer, F., Böttinger, E.: A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). p. 933--940. IEEE (2019).