Towards Personalized Context-aware Bedside Patient Monitoring

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Authors: Kai Wu, Darius Burschka
Cited by: 0
References: 16

Abstract

In this work, we propose a bedside monitoring system 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.

Fields of Study & Subjects

Healthcare Technology and Patient Monitoring Context-Aware Activity Recognition Systems Non-Invasive Vital Sign Monitoring

Publication details

Journal / source
IEEE/SICE International Symposium on System Integration (SII)
Pages
782–787
Publication date
11 January 2026
Language
EN