基于加速度计的呼吸频率连续监测系统

Preejith Sreeletha Premkumar, A. Jeelani, P. Maniyar, J. Joseph, M. Sivaprakasam
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引用次数: 34

摘要

传感器技术、无线连接、云存储和紧凑硬件的最新进展使设计具有成本效益的生理监测设备成为可能。对具有连续和最小侵入性生理参数监测功能的可穿戴技术的需求日益增长。从胸骨或腹部使用三轴加速度计进行连续呼吸率监测是非常具有挑战性的,因为运动腐败,并提出了一个潜在的研究领域。提出了一种具有远程监测功能的可穿戴式呼吸速率连续监测系统设计。该设备运行在低功耗ARM Cortex M0微控制器上,并使用内置的BLE(低功耗蓝牙)模块进行无线连接。为了保证性能的可靠性,在设备上实现了一种基于运动伪影抑制的呼吸频率计算算法。在一个控制设置中,对20名受试者的气体压力传感器验证了该设备的呼吸速率计算。给出了该模式的系统架构、器件设计、算法实现和实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerometer based system for continuous respiratory rate monitoring
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.
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