There are practical challenges in the acquisition, integration, and interpretation of multimodal monitoring data. Understanding acute brain pathophysiology in real-time relies on combining data from multiple modalities in a variety of ways, of increasing complexity. Limitations in data processing and connectivity of conventional bedside monitors make this highly challenging. Such technical hurdles are a common barrier to the effective use of multimodal monitoring data.

This one-day workshop provides a stepwise approach to the practical implementation of managing and visualizing the data from a multimodal neuromonitored patient.  The participants will explore the fundamentals of practical data acquisition and analysis and will be given an overview of possibilities for research using high-resolution data.

The format of the workshop will include a series of tutorials and hands-on exercises, covering all aspects of applied neuromonitoring using brain monitoring software ICM+ (https://icmplus.neurosurg.cam.ac.uk). Intricacies of the whole, high resolution, annotation rich, multimodal data collection process will be explored with the participants having a chance to gain hands-on experience using prepared mock data collection stations. A selection of retrospective datasets will be provided to demonstrate and guide basic as well as advanced exploration of the information carried by the recorded modalities. For more advanced participants methods for batch analysis of large data set will also be exercised in order to take advantage of the big-data approaches facilitating exploration of the more subtle relationships hidden in the vast quantity of monitoring data.