使用GSM和物联网的综合健康监测系统

Suliman Mohamed Fati, Amgad Muneer, Dheeraj Mungur, Ahmad Badawi
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引用次数: 8

摘要

提出了一种基于GSM和物联网(IoT)的昏迷患者健康监测系统。在本系统中,实现了LM35温度传感器、心跳传感器、加速度传感器和眨眼传感器四个健康参数。同时使用这四个参数,监测昏迷患者的状态。因此,排除了使用温度计和其他设备来检查病人的情况。因此,不需要大量的临床工作人员或陪同人员亲自检查患者的病情,因为有GSM模块,当健康参数出现异常时,可以向负责人(护士/医生)的手机发送短信。此外,该系统使用Wi-Fi进行物联网,其中使用“Thingspeak”通过手机在线监测昏迷患者。或者,患者的亲属可以很容易地登录到系统来检查患者的状态。物联网可以在线显示体温、心跳、身体运动和眨眼的结果,以及每个参数的时间和日期。此外,体温和心跳的结果分别为360°和87 BPM。最后,MPU-6050陀螺仪和眨眼传感器的测量结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Health Monitoring System using GSM and IoT
This paper proposes a health monitoring system for the patient in a coma based on GSM and Internet of Things (IoT). In this proposed system, the four health parameters implemented are LM35 temperature sensor, heartbeat sensor, accelerometer sensor and eye blink sensor. Using these four parameters simultaneously, it has been monitored the coma patient’s condition. Hence ruling out the use of the thermometer and other devices to check the condition of the patient. Consequently, there is no need for a lot of clinical staff nor accompanying persons to be physically present to check the condition of the patient because there is GSM module to send SMS message to the mobile phone of the person in charge (nurses/doctor) in case there is any abnormalities in health parameters. Moreover, this system uses Wi-Fi for IoT wherein “Thingspeak” is used to monitor the coma patient online via mobile phone. Alternatively, the patient’s relative can log in easily to the system to check the patient statues. The IoT shows the results online of body temperature, heartbeat, body movement and eye blink along with the time and the date for each parameter. Additionally, the results achieved for the body temperature and the heartbeat are 360° and 87 BPM respectively. Finally, the results obtained by the MPU-6050 gyroscope and the eye blink sensor were very satisfactory.
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