Anomaly detection for interoperable and modular operating room tables

Andreas Puder (Autor)

Buch | Softcover

2025
KIT Scientific Publishing (Verlag)
978-3-7315-1419-0 (ISBN)

Infos

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.

Produkt-Details

• Erscheinungsdatum: 27.11.2025
• Zusatzinfo: graph. Darst.
• Verlagsort: Karlsruhe
• Sprache: englisch
• Maße: 148 x 210 mm
• Gewicht: 660 g
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Anomalie-Erkennung • Anomaly Detection • E/E Architecture • E/E-Architektur • Kalman Filter • Kalman-Filter • machine learning • Maschinelles Lernen • Medical Devices • Medizinische Geräte • Safety • security • Sicherheit • SOA • software architecture • Softwarearchitektur
• ISBN-10: 3-7315-1419-2 / 3731514192
• ISBN-13: 978-3-7315-1419-0 / 9783731514190
• Zustand: Neuware