使用BLYNK的实时病人监护系统

S. Ranjana, Ramakrishna Hegde, C. Divya
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引用次数: 3

摘要

物联网设备被用于各种行业,使人们的生活更轻松。许多智能传感器用于测量和识别各种健康指标,但是拥有许多健康监测设备变得昂贵且耗时。每个医疗机构中每个病人最常见和最基本的健康探测器是温度、湿度和心率。因此,我们尝试将所有这些健康指标协调到一个健康监测站中,通过WiFi与选定的设备连接。这篇论文提出了一种方法,病人的朋友和亲戚以及医生都可以使用这种方法来跟踪他们的健康状况。该系统通过脉搏传感器、体温传感器、MQ-2传感器、MQ-135传感器和室温传感器等5个传感器采集患者及其周围环境的实时数据。所有这些数据都在ESP32处理器上进行处理,输出结果显示在Blynk android应用程序上。发达的系统显示了该系统的效率,它最适合当前的大流行形势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Patient Monitoring System Using BLYNK
IOT devices are employed in a variety of industries to make people’s lives easier. Many smart sensors are used to measure and identify various health indicators, however having many health monitoring equipment becomes expensive and time-consuming. The most common and fundamental health detectors required for each patient in every health care institution are temperature, humidity and heart rate. As a result, we attempted to coordinate all of these health indicators into a single health monitoring station that connects with a chosen device through WiFi. This paper proposes a method that may be used by patients friends and relatives, as well as doctors, to keep track of their health. The proposed system takes live data of patients and their environment from 5 sensors: pulse sensor, body temperature sensors, MQ-2 sensors, MQ-135 sensor and room temperature sensor. All these data are processed in ESP32 processor and the output is displayed on Blynk android application. The developed system shows how efficient the system is and it is best suited in the current pandemic situation.
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