DiAssCo-ICU Studie (Digital Assessment of COVID-19 on the intensive care unit)

In a new study initiated by the Klinikum Großhadern of LMU Munich, our in-ear sensor technology is used to monitor COVID-19 patients.

Goal: Predictive modeling of disease progression

The overall goal of the project is predictive modeling of COVID-19 disease progression using continuously recorded cardio-respiratory parameters and automated pattern recognition by artificial intelligence (AI). The vital signs measured by sensor technology are body temperature and body movement.

Long-term recording with the cosinuss° Two in-ear sensor will be used to model different courses of COVID-19 disease. The aim is to identify potentially serious forms of the disease in order to be able to provide predictive therapy measures, in particular intensive care capacities.

Design and procedure of the study

It is planned to include almost 200 patients with proven SARS-CoV-2 infection, all of whom will be monitored with the cosinuss° Two in-ear sensor throughout the entire course of the disease (approx. 8-12 weeks) – including treatment and recovery in the post-stationary period (project arm II).

Prior to this, a validation of the sensor against the gold standard will take place in the intensive care unit (project arm I). In addition, a further application is planned following the study: Here, our sensor technology will be tested for monitoring healthcare workers showing SARS-CoV-2 associated symptoms (project arm III).

The non-interventional observational study will be conducted at the Klinikum Großhadern of the LMU Munich, coordinated by PD Dr. R. Schniepp (Department of Neurology) and Dr. Ines Speck (Department of Anesthesiology). The study is funded by own budget.

More information

More information about the study can be found in the German study registry:
www.drks.de