Design of software for wireless central patient monitoring system

Hai, Vu Duy; Hung, Pham Manh; Trung, Lai Huu Phuong; Hung, Dao Viet; Thuận, Nguyễn Đức; Hung, Phan Dang

doi:10.1109/infoc.2017.8001675

Cited by 8 publications

(1 citation statement)

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“…However, monitoring for completeness of parameters is still limited to temperature and humidity, and the display is still using comport. Research in 2016 which proposed multiuser vital sign monitoring system using ZigBee wireless sensor network [22], data is transmitted using the ZigBee module, and signal parameters can be viewed from a computer wirelessly. However, monitoring uses two computers so that it cannot display central in one computer.…”

Section: Introductionmentioning

confidence: 99%

Central Monitor Based on Personal Computer Design with SpO2 and Body Temperature Parameters Using Wireless Xbee Pro

Mahardika¹,

Irianto²,

Hamzah³

et al. 2021

j.electron.electromedical.eng.med.inform

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Central patient monitor that is not real-time and continues will cause inaccuracies monitoring results and also sending data that is still using cable will cause limited distance. The purpose of this research is to design a central monitoring based personal computer via Xbee Pro. The contribution of this research is, the system works in real-time and continues, more parameters, using wireless, longer transmission distances. So that monitoring can be done in real-time and continue via wireless with more distance, then the wireless system uses the Xbee Pro module which has larger output power and uses the same number of wireless modules between transmitter and receiver. Body temperature was measured using the LM35 sensor and oxygen saturation in the blood was measured using the MAX30100 sensor. Data is sent using Xbee Pro and displayed on a personal computer. At the distance of receiving data approximately 25 meters with a wall divider, obtained results of smooth monitoring without any loss of data. The results showed that the average SpO2 error value was 0.34% in module 1 and 0.68% in module 2. The average value of body temperature error was 0.46% in module 1 and 0.72% in module 2. The results of this research can be implemented in a centralized patient monitoring system at the hospital, making it easier for health workers to monitor multiple patients, with the results of monitoring in real-time and continue, more parameters, via wireless with greater distance.

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Section: Introductionmentioning

confidence: 99%