Thingspeak-based respiratory rate streaming system for essential monitoring purposes

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2020-07-08 DOI:10.1515/bams-2020-0007

Mohammed S. Jarjees, Mohammed G. Ayoub, M. Farhan, Hassan M. Qassim

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引用次数: 2

Abstract

Abstract Introduction Chronic obstructive pulmonary diseases are the most common disease worldwide. Asthma and sleep apnea are the most prevalent of pulmonary diseases. Patients with such chronic diseases require special care and continuous monitoring to avoid any respiratory deterioration. Therefore, the development of a dedicated and reliable sensor with the aid of modern technologies for measuring and monitoring respiratory parameters is very necessary nowadays. Objective This study aims to develop a small and cost-effective respiratory rate sensor. Methods A microcontroller and communication technology (NodeMCU) with the ThingSpeak platform is used in the proposed system to view and process the respiratory rate data every 60 s. The total current consumption of the proposed sensor is about 120 mA. Four able-bodied participants were recruited to test and validate the developed system. Results The results show that the developed sensor and the proposed system can be used to measure and monitor the respiratory rate. Conclusions The demonstrated system showed applicable, repeatable, and acceptable results.

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用于基本监测目的的基于Thingspeak的呼吸速率流系统

慢性阻塞性肺疾病是世界范围内最常见的疾病。哮喘和睡眠呼吸暂停是最常见的肺部疾病。患有这类慢性疾病的患者需要特别护理和持续监测，以避免任何呼吸恶化。因此，借助现代技术开发一种专用的、可靠的传感器来测量和监测呼吸参数是非常必要的。目的研制一种体积小、性价比高的呼吸频率传感器。方法采用微控制器和通讯技术(NodeMCU)结合ThingSpeak平台，对每60 s呼吸频率数据进行查看和处理。该传感器的总电流消耗约为120毫安。招募了四名健全的参与者来测试和验证开发的系统。结果所研制的传感器和系统可用于呼吸频率的测量和监测。结论该系统具有适用性、可重复性和可接受的结果。

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

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.