%0 Conference Paper %1 plabst2021visualisation %A Plabst, Lucas %A Oberdörfer, Sebastian %A Happel, Oliver %A Niebling, Florian %B Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology (VRST '21) %C New York, NY, USA %D 2021 %I Association for Computing Machinery %K myown oberdoerfer %R 10.1145/3489849.3489908 %T Visualisation Methods for Patient Monitoring in Anaesthetic Procedures Using Augmented Reality %U https://downloads.hci.informatik.uni-wuerzburg.de/2021-vrst-visualization-methods-preprint.pdf %X In health care, there are still many devices with poorly designed user interfaces that can lead to user errors. Especially in acute care, an error can lead to critical conditions in patients. Previous research has shown that the use of augmented reality can help to better monitor the condition of patients and better detect unforeseen events. The system created in this work is intended to aid in the detection of changes in patient and equipment-data in order to increase detection of critical conditions or errors.

@inproceedings{plabst2021visualisation, abstract = {In health care, there are still many devices with poorly designed user interfaces that can lead to user errors. Especially in acute care, an error can lead to critical conditions in patients. Previous research has shown that the use of augmented reality can help to better monitor the condition of patients and better detect unforeseen events. The system created in this work is intended to aid in the detection of changes in patient and equipment-data in order to increase detection of critical conditions or errors.}, added-at = {2021-10-12T15:33:01.000+0200}, address = {New York, NY, USA}, author = {Plabst, Lucas and Oberdörfer, Sebastian and Happel, Oliver and Niebling, Florian}, biburl = {https://www.bibsonomy.org/bibtex/248dd4a37db903422b59f2608ed3abe3f/oberdoerfer}, booktitle = {Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology (VRST '21)}, doi = {10.1145/3489849.3489908}, interhash = {f18ea3de3b4a017575b0a7ea82c25bf9}, intrahash = {48dd4a37db903422b59f2608ed3abe3f}, keywords = {myown oberdoerfer}, month = {December}, publisher = {Association for Computing Machinery}, timestamp = {2023-02-21T11:09:44.000+0100}, title = {Visualisation Methods for Patient Monitoring in Anaesthetic Procedures Using Augmented Reality}, url = {https://downloads.hci.informatik.uni-wuerzburg.de/2021-vrst-visualization-methods-preprint.pdf}, year = 2021 }