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首页> 外文期刊>IEEE transactions on biomedical circuits and systems >A Low-Cost, Standalone, and Multi-Tasking Watch for Personalized Environmental Monitoring
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A Low-Cost, Standalone, and Multi-Tasking Watch for Personalized Environmental Monitoring

机译:低成本,独立且多任务的手表,用于个性化环境监测

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A novel hardware approach with four physical layers and several integrated and add-on sensors for a comprehensive physical and chemical environmental parameter (toxic gases, sound level, air pressure, humidity, temperature, and motion tracking) monitoring is introduced in this paper. To provide flexibility, the system is modular and each sensor functions independently. The whole solution is small, compact, light, and wrist worn. It is working in low power consumption mode and operates for several hours. The device has two layers to implement the sensors and one layer for a warning system driver to enable the vibrating motor and beeper in emergency status. The forth layer is the hardware flex interface that is connected to the display and sound module and provides the possibility of the hardware extension for further development. The gas sensor node includes the sensor attached to the driver (located at the top) and is replaceable with other target gas sensors from the same family. The warning system is located at the bottom of the proposed device. The sampled data from the sensors are monitored in real time via the display and are sent to an Android smartphone for permanent storage via Bluetooth Low Energy(BLE) 4.1. Consequently, these data will be directed to a cloud for further medical analyses. Power consumption, results, device efficiency, and packet protocol justification are evaluated in this paper.
机译:本文介绍了一种新颖的硬件方法,该方法具有四个物理层以及几个集成的附加传感器,用于全面的物理和化学环境参数(有毒气体,声级,气压,湿度,温度和运动跟踪)监控。为了提供灵活性,系统是模块化的,每个传感器都独立运行。整个解决方案小巧,紧凑,轻巧且戴在手腕上。它在低功耗模式下工作,并且运行了几个小时。该设备有两层用于安装传感器,一层用于警告系统驱动器,以使振动电机和蜂鸣器处于紧急状态。第四层是连接至显示和声音模块的硬件Flex接口,并提供了扩展硬件以进行进一步开发的可能性。气体传感器节点包括连接到驱动器的传感器(位于顶部),并且可以用同一系列的其他目标气体传感器替换。警告系统位于建议设备的底部。来自传感器的采样数据通过显示屏进行实时监控,并通过低功耗蓝牙(BLE)4.1发送到Android智能手机进行永久存储。因此,这些数据将被定向到云中以进行进一步的医学分析。本文评估了功耗,结果,设备效率和分组协议合理性。

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