Anomaly detection for interoperable and modular operating room tables

Abstract

Technologies that enable connectivity, interoperability and automation have the potential to increase the quality and efficiency of patient care. In this dissertation, the necessary adaptations to the software and E/E architectures of medical devices are examined using the example of operating tables. In addition, a special focus is placed on anomaly detection, for which a novel approach is presented that uses hybrid plausibility checks that combine data- and model-based algorithms.