In this work, an innovative system architecture for enhancing patient's health monitoring during surgical procedure is proposed. The proposed integrated system consists of a video see-through (VST) headset (worn by anesthetist or nurses or other member of the surgical team involved in the procedure), which shows in real-time a comprehensive set of information on the patient's health status.In particular, the operator can visualize in real-time the patient's vitals acquired from the operating room (OR) equipment and access the electronic medical records. The proposed system was designed in view of robotic surgery; therefore, an additional function is that the VST will display the real-time view of what the surgeon is looking at on his console. Finally, the system will also include a machine-learning algorithm which, starting from the medical records and from the monitored vitals, will predict possible aggravating conditions of the patient's health and provide a timely alert.The present work focuses on creating the implementation framework of the whole system, and on real-time monitoring of the patient's vitals.


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    Titel :

    A health 4.0 integrated system for monitoring and predicting patient's health during surgical procedures


    Beteiligte:

    Erscheinungsdatum :

    2020-01-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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