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Towards Personalized Context-Aware Bedside Patient Monitoring

Kai Wu, Darius Burschka

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Abstract

In this work, we propose a bedside monitoring sys- tem for ICU patients that integrates patient data from multiple medical devices and collects information about the patient’s physical activity. Our proof-of-concept studies demonstrate the potential for more personalized bedside patient monitoring by leveraging context-aware information, thereby enabling a more robust early warning of in-hospital deterioration. Furthermore, we explore visualization techniques to present analysis results to clinical caregivers in a more intuitive and interpretable way.

Index terms

Integration Platforms Machine Learning Virtual / Augmented / Mixed reality