Abbasi-Kesbi Reza, Asadi Zahra, Nikfarjam Alireza
1MEMS and NEMS Laboratory, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
2Faculty of Electrical, Computer and IT Engineering, Qazvin Islamic Azad University, Qazvin, Iran.
Biomed Eng Lett. 2019 Nov 22;10(1):163-170. doi: 10.1007/s13534-019-00140-w. eCollection 2020 Feb.
This letter describes a developed wireless sensor network based on a proposed algorithm for monitoring the environmental parameters in healthcare intentions. This proposed algorithm contains a frame with different packets that are implemented on the developed wireless sensor network. The developed wireless sensor network consists of one central node as well as four sensor node that has been equipped with various sensors such as temperature, humidity, CO, CO, and passive infrared sensor. In order to test the presented algorithm and the developed wireless sensor network, the sensor nodes are situated in four different rooms in a hospital for recording essential parameters of the environment while the central node is put in the nurse station for warning to nurses. The obtained result of the proposed sensor nodes in comparison to gold standards shows root mean square error 1.1%, , 0.98% for humidity, temperature and gas, respectively. Also, the obtained results illustrate that the system gives accurate feedback from environmental temperature, humidity, and CO, and CO to the nurse station in order to increases the possibility of a healthy environment condition for patients.
这封信描述了一种基于所提出算法开发的无线传感器网络，用于监测医疗保健环境中的环境参数。所提出的算法包含一个带有不同数据包的帧，这些数据包在开发的无线传感器网络上实现。开发的无线传感器网络由一个中央节点以及四个传感器节点组成，这些传感器节点配备了各种传感器，如温度、湿度、一氧化碳、二氧化碳和被动红外传感器。为了测试所提出的算法和开发的无线传感器网络，传感器节点位于医院的四个不同房间，用于记录环境的基本参数，而中央节点放置在护士站用于向护士发出警报。与黄金标准相比，所提出的传感器节点获得的结果显示湿度、温度和气体的均方根误差分别为1.1%、0.98%。此外，获得的结果表明，该系统能够将环境温度、湿度以及一氧化碳和二氧化碳的准确反馈提供给护士站，以增加为患者创造健康环境条件的可能性。
