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Accelerometer based system for continuous respiratory rate monitoring

机译:基于加速度计的系统,用于连续呼吸频率监测

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Recent advances in sensor technologies, wireless connectivity, cloud storage and availability of compact hardware allow for designing of cost effective physiological monitoring devices. There is a growing demand for wearable technologies with continuous and minimally intrusive physiological parameter monitoring capabilities. Continuous respiratory rate monitoring using a three-axis accelerometer from the sternum or abdomen is highly challenging due to motion corruption and presents a potential area of research. A system design for continuous and long term respiratory rate monitoring, in a wearable form factor with capability of remote monitoring is presented in this paper. The device runs on a low power ARM Cortex M0 microcontroller and uses inbuilt BLE (Bluetooth Low energy) module for wireless connectivity. A respiratory rate computation algorithm using motion artifact rejection is implemented on the device for reliable performance. Respiratory rate computation by the device was validated in a controlled setting, against gas pressure sensor on 20 subjects. The system architecture, device design, algorithm implementation and experimental validation of the proposed modality are presented.
机译:传感器技术,无线连接,云存储和紧凑型硬件的可用性方面的最新进展允许设计经济高效的生理监测设备。对于具有连续且干扰最小的生理参数监测功能的可穿戴技术的需求不断增长。由于运动受损,使用来自胸骨或腹部的三轴加速度计进行连续呼吸频率监测具有很高的挑战性,这是一个潜在的研究领域。本文提出了一种用于可穿戴设备的连续和长期呼吸频率监测系统,并具有远程监测功能。该设备在低功耗ARM Cortex M0微控制器上运行,并使用内置的BLE(蓝牙低功耗)模块进行无线连接。在设备上实现了使用运动伪影抑制的呼吸速率计算算法,以实现可靠的性能。该设备的呼吸速率计算在受控设置下针对20位受试者的气压传感器进行了验证。介绍了所提出的模态的系统架构,设备设计,算法实现和实验验证。

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