Design and implementation of Internet of Things for emergency medical devices based on cloud-edge-device architecture.
10.7507/1001-5515.202211014
- Author:
Yong FAN
1
;
Hong LIANG
1
;
Jipeng SUN
1
;
Boying ZHANG
2
;
Haiyan ZHU
3
;
Desen CAO
2
;
Zhengbo ZHANG
1
;
Kunlun HE
4
Author Information
1. Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing 100853, P. R. China.
2. Department of Medical Engineering, Chinese PLA General Hospital, Beijing 100853, P. R. China.
3. Department of Emergency, the First Medical Center, Chinese PLA General Hospital, Beijing 100853, P. R. China.
4. Medical Big Data Research Center, Chinese PLA General Hospital, Beijing 100853, P. R. China.
- Publication Type:Journal Article
- Keywords:
Emergency medicine;
Internet of Things;
Medical devices;
Streaming data
- MeSH:
Internet of Things;
Reproducibility of Results;
Internet;
Machine Learning;
Technology
- From:
Journal of Biomedical Engineering
2023;40(1):103-109
- CountryChina
- Language:Chinese
-
Abstract:
Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
