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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Exhaustive Description of the System Architecture and Prototype Implementation of an IoT-Based eHealth Biometric Monitoring System for Elders in Independent Living
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Exhaustive Description of the System Architecture and Prototype Implementation of an IoT-Based eHealth Biometric Monitoring System for Elders in Independent Living

机译：系统架构的详尽描述和独立生活中长老的IOT的电子医疗生物识别系统的原型实施

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摘要

In this paper, we present an exhaustive description of an extensible e-Health Internet-connected embedded system, which allows the measurement of three biometric parameters: pulse rate, oxygen saturation and temperature, via several wired and wireless sensors residing to the realm of Noncommunicable Diseases (NCDs) and cognitive assessment through Choice Reaction Time (CRT) analysis. The hardware used is based on ATMEGA AVR + MySignals Hardware printed circuit board (Hardware PCB), but with multiple upgrades (including porting from ATMEGA328P to ATMEGA2560). Multiple software improvements were made (by writing high-level device drivers, text-mode and graphic-mode display driver) for increasing functionality, portability, speed, and latency. A top-level embedded application was developed and benchmarked. A custom wireless AT command firmware was developed, based on ESP8266 firmware to allow AP-mode configuration and single-command JavaScript Object Notation (JSON) data-packet pushing towards the cloud platform. All software is available in a git repository, including the measurement results. The proposed eHealth system provides with specific NCDs and cognitive views fostering the potential to exploit correlations between physiological and cognitive data and to generate predictive analysis in the field of eldercare.
机译：在本文中，我们展示了一个可扩展的电子健康互联网连接嵌入式系统的详尽描述，其允许测量三个生物识别参数：脉冲速率，氧气饱和度和温度，通过驻留在非传染性的域的域的若干有线和无线传感器通过选择反应时间（CRT）分析，疾病（NCDS）和认知评估。使用的硬件基于Atmega AVR + MySignals硬件印刷电路板（硬件PCB），但具有多种升级（包括从Atmega328P移植到Atmega2560）。进行多种软件改进（通过编写高级设备驱动程序，文本模式和图形模式显示驱动程序），以提高功能，可移植性，速度和延迟。开发了顶级嵌入式应用程序和基准测试。基于ESP8266固件开发了一个自定义无线，以允许AP-Mode配置和单个命令JavaScript对象表示法（JSON）数据包推动云平台。所有软件都在GIT存储库中提供，包括测量结果。拟议的电子健康系统提供了特定的NCD和认知观点，促进了生理和认知数据之间的相关性和在地区领域产生预测分析的可能性。

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