Bio-signals can be crucial evidence in detecting urgent clinical events. However, until now, access to this data was limited. We aim to construct and provide a new open bio-signal repository with data gathered from more than 40 intensive care unit (ICU) beds. For doing so, we completed the interfacing system with the patient monitors at the target beds and plan to expand this data set to more than 100 ICU beds. Once completed, we plan to publicly open the data to catalyze interesting clinical-event detection research.
|Title of host publication||MEDINFO 2017|
|Subtitle of host publication||Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics|
|Editors||Adi V. Gundlapalli, Jaulent Marie-Christine, Zhao Dongsheng|
|Publisher||IOS Press BV|
|Number of pages||1|
|Publication status||Published - 2017|
|Event||16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China|
Duration: 2017 Aug 21 → 2017 Aug 25
|Name||Studies in Health Technology and Informatics|
|Conference||16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017|
|Period||17/8/21 → 17/8/25|
Bibliographical noteFunding Information:
This research was supported by Korea Health Technology R&D project through KHIDI, funded by Ministry of Health & Welfare, Korea (grant number: HI16C0982, HI16C0992).
© 2017 International Medical Informatics Association (IMIA) and IOS Press.
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Health Informatics
- Health Information Management