Obálka

Anomaly detection for interoperable and modular operating room tables

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 table...

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Hlavní autor: Puder, Andreas
Médium: Online
Jazyk:angličtina
Vydáno: KIT Scientific Publishing 2025
Témata:
Medizinische Geräte
Softwarearchitektur
Anomalie-Erkennung
Kalman-Filter
maschinelles Lernen
Sicherheit
E/E-Architektur
SOA
Medical Devices
Software Architecture
Anomaly Detection
Kalman Filter
Machine Learning
Safety
Security
E/E Architecture
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering
On-line přístup:ONIX_20251202T160246_9783731514190_33
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Shrnutí: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.

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