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Accelerometer based system for continuous respiratory rate monitoring

机译:基于加速度计的连续呼吸速率监测系统

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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:传感器技术的最新进展,无线连接,云存储和紧凑型硬件的可用性允许设计具有成本效益的生理监控设备。对可穿戴技术的需求不断增长,具有连续和微小的侵入性生理学参数监测能力。由于运动损坏,使用来自胸骨或腹部的三轴加速度计的连续呼吸速率监测是强大的挑战,并提出了潜在的研究领域。本文介绍了一种用于连续和长期呼吸速率监测的系统设计,具有远程监测能力的可穿戴形状因子。该器件在低功耗臂Cortex M0微控制器上运行,并使用内置的BLE(蓝牙低能)模块进行无线连接。使用运动伪影抑制的呼吸速率计算算法在设备上实现了可靠性的性能。设备的呼吸速率计算在受控设置中验证,对抗20个受试者的气体压力传感器。提出了建议模态的系统架构,设备设计,算法实现和实验验证。

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