Neurological ICU Data
At a glance
- Project leader : Prof. Dr. Rudolf Marcel Füchslin
- Project team : Dr. Peter Eggenberger Hotz, Dr. Lukas Lichtensteiger, Prof. Dr. Stephan Scheidegger, Marko Seric, Dr. Mathias Weyland
- Project status : completed
- Funding partner : Internal
- Project partner : Universitätsspital Zürich
Description
In the neurological ICU, one uses various neuroimaging techniques, EEG probably the most famous. Another method, NIRS (Near Infrared Spectroscopy), is a neuroimaging technique that uses non-invasive optodes to detect hemodynamic activity. NIRS data has successfully been analysed in various studies, either as the sole source or in combination with other data. Currently, NIRS data needs to be extracted and handled manually (i.e. on a per-study basis). One consequence is that NIRS data usually do not make it into the large central dataset. Another reason for the limited use of NIRS data is that the large central dataset of the UZH requires high-quality standards concerning the time synchronisation of signals from different sources. The central data set of the UZH offers vast opportunities for all sorts of time series analysis, standard procedures, and more advanced approaches such as determining the fractal correlation dimension. Analysis of physiological time series is an excellent application of methods that are well-established in ACSS and at the IAMP. These applications combine health topics, engineering and mathematics.