Publications
Below is a searchable list of publications by the projects of the Priority Program.
1.
Plabst, Lucas; Oberdörfer, Sebastian; Happel, Oliver; Niebling, Florian
Visualisation Methods for Patient Monitoring in Anaesthetic Procedures Using Augmented Reality Proceedings Article
In: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology, Association for Computing Machinery, Osaka, Japan, 2021, ISBN: 9781450390927.
Abstract | Links | BibTeX | Tags: augmented reality, health care, safety-critical-systems
@inproceedings{10.1145/3489849.3489908,
title = {Visualisation Methods for Patient Monitoring in Anaesthetic Procedures Using Augmented Reality},
author = {Lucas Plabst and Sebastian Oberdörfer and Oliver Happel and Florian Niebling},
url = {https://doi.org/10.1145/3489849.3489908},
doi = {10.1145/3489849.3489908},
isbn = {9781450390927},
year = {2021},
date = {2021-01-01},
booktitle = {Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology},
publisher = {Association for Computing Machinery},
address = {Osaka, Japan},
series = {VRST '21},
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.},
keywords = {augmented reality, health care, safety-critical-systems},
pubstate = {published},
tppubtype = {inproceedings}
}
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.