Robert Dürichen

Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients

Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electronic health...

Sensing Room Occupancy Levels with Signal-to-Noise Ratio and Signal Phase and Multiple Antenna Configurations

Occupancy Detection in Commercial and Residential Environments Using Audio Signal

A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes

Prediction of respiratory motion using wavelet based support vector regression

Efficient SVR model update approaches for respiratory motion prediction

Multi-modal respiratory motion prediction using sequential forward selection method

Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes

Detecting Respiratory Artifacts from Video Data

COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks

Labelling Affective States "in the Wild": Practical Guidelines and Lessons Learned

Multi-target affect detection in the wild: an exploratory study

Prediction of electrocardiography features points using seismocardiography data: a machine learning approach

Personal thermal perception models using skin temperatures and HR/HRV features: comparison of smartwatch and professional measurement devices

CNN-based sensor fusion techniques for multimodal human activity recognition

Tissue thickness estimation for high precision head-tracking using a galvanometric laser scanner - A case study

Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection