A design of a home-based human health monitoring device with OneNET cloud platform

2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI:10.1109/IHMSC55436.2022.00040

Xiaobo Liu, Mingyu Gao, Huipin Lin, Yi Chen

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引用次数: 1

Abstract

As the pace of life continues to accelerate, the issue of subhealth becomes an important topic and the study of human health monitoring receives more attention. Compared with traditional health monitoring devices, a portable and low-cost monitoring system is urgently needed to help people obtain their human health status. In this paper, we design a home-based human health monitoring system. The system uses an STM32 microcontroller as the main controller of the embedded system and four human signal acquisition circuits to collect human heart rate signal, ECG signal, blood pressure signal, and body temperature signal. After processing the data, the system applies a wireless module and uploads the health data to the OneNET cloud platform. The experimental results show that the system can accurately collect human physiological signals, and the error of heart rate signal is within 10 Bmp, blood pressure is within 10 mmHg, and body temperature is within 1.5°C compared with professional medical equipment. Finally, the health data is stored and displayed in real-time on the OneNET cloud platform.

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基于OneNET云平台的居家人体健康监测设备设计

随着生活节奏的不断加快，亚健康问题成为人们关注的重要话题，对人体健康监测的研究越来越受到重视。与传统的健康监测设备相比，迫切需要一种便携式、低成本的监测系统来帮助人们了解自己的健康状况。本文设计了一个基于家庭的人体健康监测系统。该系统采用STM32单片机作为嵌入式系统的主控制器，采用4个人体信号采集电路采集人体心率信号、心电信号、血压信号和体温信号。系统对数据进行处理后，采用无线模块，将健康数据上传到OneNET云平台。实验结果表明，该系统能够准确采集人体生理信号，与专业医疗设备相比，心率信号误差在10bmp以内，血压误差在10mmhg以内，体温误差在1.5℃以内。最后，将健康数据存储并实时显示在OneNET云平台上。

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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来源期刊

2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

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