Master Thesis
Felix Musmman (2020)
A web platform for analyzing multimodal sensor data in the context of digital health
GitHub
Paper Published at ICHI 2020 (Link)
Hendrik Folkerts (2021)
Blood Pressure Estimation using Photoplethysmography
Margaux Gatrio (2021)
Personalized Risk Score Prediction for Intensive Care Patients
Juan Carlos Niño Rodríguez (2022)
Analyzing PPG Versus ECG Estimation of Heart Rate Variability Indices Across Different Platforms: Towards Blood Pressure Prediction
Florian Hermes
Benchmarking Machine Learning Models for Blood Pressure Estimation from Photoplethysmography
Master Projects
Wearables for monitoring and driving lifestyle changes (2019)
Students: Hendrik Folkerts, Arne Herdick, Corina Jaschek, Pit Wegner
Supervisors: Ariane Sasso, Suparno Datta, Lin Zhou, Justin Albert and Jonas Chromik
Project Proposal: Link
HPI only internal video: Link
Using Machine Learning Algorithms to predict Hypertension based on Electronic Health Records (2019/2020)
Students: Nina Kiwit, Jonas Cremerius, Margaux Gatrio, Melanie Hackl
Supervisors: Suparno Datta, Ariane Sasso, Dr. Girish Nadkarni, Prof. Dr. Erwin Böttinger
Project Proposal: Link
Video: Link
The Last Mile: Unobtrusive Digital Blood Pressure Prediction Anywhere and Anytime in Daily Life (2021)
Students: Lennard Ekrod, Justus Cöster, Niharicka Chandra, Florian Hermes, Abralur Rahman Akash, Siddhant Gadamsetti, Kamran Ali
Supervisors: Ariane Sasso, Tamara Slosarek, Prof. Dr. Erwin Böttinger
Project Proposal: Link
Video: Link