基于角速度的人体呼吸信号研究

摘要

利用惯性传感器的角速度信息研究一种方便且低成本的呼吸信号采集方法,并使用呼吸二氧化碳浓度采集装置搭建同步采集信号的验证平台.采用中值滤波的方法从原始信号中提取出呼吸波形,并通过交点检测技术提取出呼吸频率和呼吸相位参数.所获取的呼吸角速度波形与呼吸二氧化碳浓度波形进行对比分析,验证参数的有效性.测试结果表明,本方法可以较准确地检测呼吸波形并提取呼吸参数,为呼吸监测提供了一种有效的方法.%We studied a convenient and low-cost respiratory signal acquisition method using the angular velocity information of an inertial sensor,and established a verification platform to acquire synchronous signals,with a respiratory carbon dioxide concentration acquisition device as the reference platform.The median filter method was applied to extract the respiratory waveform from the original signal,and the respiratory rate and respiratory phase parameters were extracted by intersection detection technique.The validity of the parameters was verified by comparing the obtained respiratory angular velocity waveforms with the respiratory carbon dioxide concentration waveforms.The test results show that the proposed system can accurately detect the respiratory waveform and extract the respiratory parameters,providing an effective method for respiratory monitoring.