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Cross-platform Obstetric Monitoring Information System based on the Internet of Things

摘要


With the gradual liberalization of China's fertility policy and the popularization of maternal health management, the demand for high-quality obstetric medical resources is increasing. In recent years, the digital obstetric system has paid more and more attention to the information management, especially fetal monitoring data. This research combines the Internet of Things and Cloud Service technologies to design a multi-platform obstetric information management system, which realizes the informatization and cloud analysis of fetal heart monitoring data. This system is mainly divided into three layers, including: controller layer, management layer and application layer. The controller layer is the wireless control interface of the fetal monitoring device based on the TCP protocol. The management layer is mainly responsible for the caching, storage and cloud synchronization of fetal monitoring data. The application layer implements report printing, log management, cloud analysis and device management. Moreover, based on the application layer, this work designs a web client and an Android client to realize the cross-platform interaction of obstetric information system. This system will greatly facilitate the management of pregnant women and help the intelligence of the obstetric information system.

參考文獻


Yuan Xie, Rongdan Zeng and Yaosheng Lu. Design and Implementation of Wireless Fetus Monitoring System Based on Non-standard Communication Protocol [J]. International Core Journal of Engineering, 2020, 6(7): 0028.
RASU, R., SUNDARAM, S., and SANTHIYAKUMARI, N., FPGA based non-invasive heart rate monitoring system for detecting abnormalities in Fetal International Conference on SignalProcessing And Communication Engineering Systems 2015: 375-379.
Balikuddembe M S. Computerized Childbirth Monitoring Tools for Health Care Providers Managing Labor: A Scoping Review [J]. JMIR medical informatics, 2017, 5(2).
Kortteisto T, Raitanen J, Komulainen J, et al. Patient-specific computer-based decision support in primary healthcare—a randomized trial [J]. Implementation Science, 2014, 9(1): 15-15.
Boatin A, Wylie B J, Goldfarb I, et al. Wireless fetus Heart Rate Monitoring in Inpatient Full-Term Pregnant Women: Testing Functionality and Acceptability[J]. PLOS ONE, 2015, 10(1).

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