基于物联网的新冠肺炎患者心率、血氧饱和度和体温监测系统设计

Aldo Novaznursyah Costrada, Azizah Ghina Arifah, Inggi Dwi Putri, I. K. A. Sara Sawita, Harmadi Harmadi, M. Djamal
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引用次数: 4

摘要

使用MAX30100传感器和基于物联网(IoT)的MLX90614传感器设计了用于测量Covid-19患者脉搏率、血氧饱和度和体温的仪器。MAX30100传感器用于测量脉搏率和氧饱和度。非接触式MLX90614传感器用于监测体温,超声波传感器用于设置传感器与物体之间的最大距离。测量结果通过ESP8266单片机节点的Wi-Fi通信线路传输到数据库。存储的数据可以通过网络浏览器访问。与血氧计相比,MAX30100传感器的脉冲测量平均错误率为1.027%,氧饱和度为0%。与热枪相比,MLX90614传感器的平均错误率为0.42%。因此,测量装置可以正常工作,并且是可行的。此外,由于人体与传感器之间没有直接接触,该仪器可以防止Covid-19的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Heart Rate, Oxygen Saturation, and Temperature Monitoring System for Covid-19 Patient Based on Internet of Things (IoT)
Instruments for measuring pulse rate, oxygen saturation, and body temperature for Covid-19 patients have been designed using the MAX30100 sensor and the Internet of Things (IoT)-based MLX90614 sensor. The MAX30100 sensor is used to measure pulse rate and oxygen saturation. A non-contact MLX90614 sensor is used to monitor body temperature, with an ultrasonic sensor used to set the maximum distance between the sensor and the object. The measurement results were transferred to the database via the ESP8266 MCU node's Wi-Fi communication line. The stored data can be accessed via a web browser. Compared to the oximeter, the MAX30100 sensor has an average error rate of 1.027% for pulse measurement and 0% for oxygen saturation. The MLX90614 sensor has a 0.42% average error rate when it was compared to the thermo-gun.Thus, the measuring device can function properly and is feasible to use. Furthermore, because there is no direct contact between the human body and the sensor, the instrument can prevent Covid-19 transmission.
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