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An IoT-Based Smart Framework for a Human Heartbeat Rate Monitoring and Control System

机译:一种基于物联网的IOT的智能框架,用于人类心跳速率监测和控制系统

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This research paper presents the design and implementation of an internet of things-based (IoT) smart framework for human heartbeat rate monitoring and control system. A comprehensive study of various techniques and technologies that are used in controlling the heartbeat rate is explored. The proposed system was designed and implemented on a breadboard with the various system components that are assembled, connected and tasted. Experimental results obtained from the implemented prototype were found to be accurate, as the system was able to sense and read the heartbeat rate of its user and transmit the sensed data through the internet. The system components were soldered on a breadboard, and cased inside a plastic container with the heart pulse sensor stretched, so as to be clipped on the fingertip of the system’s user. Experimental results demonstrate that the resting heartbeat rate of children below the age of 17 is between 65 to 115 beats per minute (bpm) and the resting heartbeat rate of an adult between the ages of 17 to 60 is 60 to 100 bpm. In addition, the resting heartbeat rate of old people who are 60 years old and above, their heartbeat rate is between 65 to 120 bpm. These findings are in agreement with the state-of-the-art in the medical field. Furthermore, this research paper presents an approach that is flexible, reliable, and confidential for heartbeat rate monitoring and control system using sensor network and IoT technology which can be deployed to the medical field to assist the medical practitioners in doing their work easily.
机译:本研究论文介绍了人类心跳率监测和控制系统的基于事物(物联网)智能框架的设计和实施。探讨了用于控制心跳率的各种技术和技术的综合研究。建议的系统在面包板上设计和实施,各种系统组件组装,连接和品尝。发现从实现的原型获得的实验结果是准确的,因为系统能够感测和读取用户的心跳率并通过互联网传输感测数据。将系统部件焊接在面包板上,并在带有心脏脉冲传感器的塑料容器内壳体伸展,以便在系统用户的指尖上夹住。实验结果表明,低于17岁以下儿童的静息心跳率在65至115次/分钟之间(BPM),成人的静止心跳率为60至100bpm。此外,休息60岁及以上的旧人的心跳率,它们的心跳率在65到120 bpm之间。这些调查结果与医疗领域的最先进的结果一致。此外,该研究论文提供了一种灵活,可靠,以及使用传感器网络和物联网技术的心跳率监测和控制系统的方法,这些方法可以部署到医疗领域,以帮助医生轻松完成工作。

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