Rancang Bangun Pendeteksi Penyakit Jantung menggunakan Teknik Algoritma Fuzzy Logic berbasis IoT

Irma Salamah, Syafa Naura Afifa, Emilia Hesti
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Abstract

Heart rate is a health indicator that has the advantage of assessing or knowing a person's health quickly. It is useful as the first diagnosis of the presence or absence of heart disorders. By building an IoT (Internet of Things) based heart rate monitoring system, it is hoped that it can be monitored, and through Android can check the heart rate. An IoT system is an idea that can expand and utilize a relationship that is connected continuously. Where IoT can monitor a person's condition so that a person's condition remains monitored 24 hours. This study aims to design a heart disease detector using an iot-based fuzzy logic algorithm technique. The method used to design this tool is the waterfall method. In the design of an IoT-based heart rate tool, it can directly find out the heart rate experienced by high, low, or normal and automatically there are already recommendations for exercise and food according to the heart rate. Testing this tool uses hardware consisting of a max30100 sensor, nodeMCU, and an android application as an interface. The results of this study show that the tool created has an error percentage between 0.1% to 6.2%, and all data from the heart rate tool results are directly sent to the Android application in real-time based on the available Internet network connection.
设计一种基于模糊逻辑的心脏病检测技术
心率是一种健康指标,它具有快速评估或了解一个人健康状况的优势。它是有用的第一次诊断存在或不存在心脏疾病。通过构建一个基于IoT(物联网)的心率监测系统,希望可以对其进行监测,并通过Android可以检查心率。物联网系统是一种可以扩展和利用持续连接的关系的想法。物联网可以监控一个人的状况,这样一个人的状况就可以24小时被监控。本研究旨在利用基于物联网的模糊逻辑算法技术设计一种心脏病检测器。用于设计此工具的方法是瀑布法。在基于物联网的心率工具的设计中,它可以直接找到高、低、正常的心率,并根据心率自动给出运动和饮食建议。测试此工具使用由max30100传感器、nodeMCU和android应用程序组成的硬件作为接口。本研究结果表明,所创建的工具的误差率在0.1% ~ 6.2%之间,心率工具结果的所有数据都是基于可用的Internet网络连接直接实时发送到Android应用程序的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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