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Phase detection in medical context: Overview and outlook

: Philipp, P.

Volltext urn:nbn:de:0011-n-5069117 (622 KByte PDF)
MD5 Fingerprint: 55e74b9fea2ad513d3ef57415e09c1a6
Erstellt am: 29.8.2018

Beyerer, Jürgen (Ed.); Pak, Alexey (Ed.); Taphanel, Miro (Ed.):
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2017. Proceedings : July 30 - August 5, 2017, Triberg-Nussbach, Germany
Karlsruhe: KIT Scientific Publishing, 2018 (Karlsruher Schriften zur Anthropomatik 34)
ISBN: 978-3-7315-0779-6
ISBN: 3-7315-0779-X
DOI: 10.5445/KSP/1000081314
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2017, Triberg-Nussbach>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

To provide assistance functions, e.g. in context of surgical interventions, the use of a phase detection plays an important role. For instance, by assessing the progress of an on-going surgery, a tailored (i.e. context sensitive) decision support for medical practitioners can be carried out. The optimization of a workflow, e.g. by comparing recorded data with a predefined target model, is another application example. Subsequently, a phase detection provides opportunities to prevent errors, injuries, negligence or malpractices in the medical context. In this work, an overview of notable model approaches for a phase detection in medical context is presented. Based on this, further suggestions for future models are proposed.