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.

A health 4.0 integrated system for monitoring and predicting patient's health during surgical procedures / Arpaia, P.; Cicatiello, M.; Benedetto, E. D.; Anna Dodaro, C.; Duraccio, L.; Servillo, G.; Vargas, M.. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020 tenutosi a Dubrovnik, Croatia nel 25-28 May 2020) [10.1109/I2MTC43012.2020.9128840].

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

Duraccio L.;
2020

Abstract

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.
2020
978-1-7281-4460-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2962567