强迫振荡肺功能的伪随机激励信号优化研究

发布时间：2018-05-10 08:28

本文选题：强迫振荡技术 + 伪随机信号　；参考：《生物医学工程学杂志》2017年05期

【摘要】：强迫振荡技术(FOT)是一种主动式肺功能测量技术,通过给呼吸系统外加激励信号的方式,辨识呼吸系统力学特性。FOT技术常用的激励信号包括单频正弦、伪随机和周期性脉冲三种。本文针对伪随机多正弦组合信号存在的时域幅度过冲问题,研究了伪随机信号的相位优化,尝试了随机相位组合以及时-频域交换算法,以波峰因数评价优化效果。进一步根据振荡单元的频率响应曲线对低频段(4~18 Hz)输入信号的幅值进行了补偿,使最终产生的伪随机信号的时-频域特性在4~40 Hz范围内能够满足呼吸系统辨识要求。研究结果表明,时-频域交换算法能够有效优化伪随机信号的相位组合,振荡单元的幅频特性经过低频补偿后,能够产生满足性能要求的激励信号。
[Abstract]:Forced oscillation (FOT) is a kind of active pulmonary function measurement technique. By applying the excitation signal to the respiratory system, the mechanical characteristics of the respiratory system. FOT technology commonly used excitation signals include single frequency sinusoidal, pseudorandom and periodic pulse. In this paper, the phase optimization of pseudorandom signal is studied for the time-domain amplitude overshoot problem of pseudorandom multi-sinusoidal combination signal. The algorithm of random phase combination in time-frequency domain is tried, and the optimization effect is evaluated by wave peak factor. Furthermore, according to the frequency response curve of the oscillating unit, the amplitude of the input signal in the low frequency band is compensated, so that the time-frequency characteristic of the resulting pseudorandom signal can meet the requirements of respiratory system identification in the range of 440 Hz. The results show that the time-frequency switching algorithm can effectively optimize the phase combination of pseudorandom signals, and the amplitude and frequency characteristics of the oscillation units can produce excitation signals that meet the performance requirements after the amplitude and frequency characteristics of the oscillation units are compensated at low frequency.
【作者单位】：北京航空航天大学生物与医学工程学院;解放军总医院医学工程保障中心;
【基金】：国家科技支撑计划项目(2013BAI03B05) 国家自然科学基金面上项目(61471398) 赛尔网络下一代互联网技术创新项目(NGII20160701)
【分类号】：R318;TN911.7

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