Kim Doyeop, Lee Sukhoon, Kim Tae Young, Jin Sanghyung, Park JaeYeon, Ko JeongGil, Park Rae Woong, Yoon Dukyong
Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.
Department of Software Convergence Engineering, Kunsan National University, Kunsan, South Korea.
Stud Health Technol Inform. 2017;245:1271.
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.
生物信号可能是检测紧急临床事件的关键证据。然而，到目前为止，获取这些数据的途径有限。我们旨在构建并提供一个新的开放式生物信号储存库，其中的数据来自40多张重症监护病房（ICU）病床。为此，我们完成了与目标病床的患者监测仪的接口系统，并计划将该数据集扩展到100多张ICU病床。一旦完成，我们计划将数据公开发布，以促进有趣的临床事件检测研究。
