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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Comparative Analysis of Phase Difference Estimation Methods Quantifying Asynchronies between Compartmental Chest Wall Volume Signals
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Comparative Analysis of Phase Difference Estimation Methods Quantifying Asynchronies between Compartmental Chest Wall Volume Signals

机译：相位差估计方法的比较分析量化分区胸壁体积信号之间的异步

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Asynchronous breathing movements may be observed in the presence of pulmonary disease, such as chronic obstructive pulmonary disease (COPD). This study was undertaken in an attempt to propose a reliable methodology to quantify this asynchrony. Five methods for estimating phase differences between two signals, based on the phase angle of the Fourier Transform (PhD_(FT)), paradoxical motion (PhD_(PM)), the Lissajous figure (PhD_(LF)), maximal linear correlation (PhD_P) and least-squares filtering (PhD_(LS)), were compared. Frequency-modulated signals, simulating compartmental chest wall volumes, were used to evaluate the methods. Breathing asynchrony was quantified in two ways; by estimating (a) a single PhD value for the entire recording and (b) time-varying PhDs, representing non-stationarities of human breathing. PhD_(PM) and PhD_(LF) had the lowest average errors (4%), and PhD_(LS) had a slightly higher error. PhD_(FT) had zero error when estimating a single PhD value but a considerable error when estimating time-varying PhDs. PhDp presented the highest errors in all cases. An application of this methodology is proposed in real compartmental chest wall volume signals of normal and COPD subjects. Preliminary results indicate that the methodology is promising in quantifying differences in asynchronous breathing between thoracic volumes of COPD patients and healthy controls.
机译：可以在存在肺部疾病的情况下观察到异步呼吸运动，例如慢性阻塞性肺疾病（COPD）。该研究进行了试图提出可靠的方法来量化这款Asynchrony。基于傅里叶变换的相位角（PHD_（FT）），矛盾的图（PHD_（PM）），LISSAJOUS图（PHD_（LF）），最大线性相关性（PHD_P）来估计两个信号之间的相位差的五种方法）比较和最小二乘滤波（PHD_（LS））。模拟隔间胸壁体积的频率调制信号用于评估方法。呼吸异步以两种方式量化;通过估计（a）整个记录的单个Phd值和（b）时变势的时间变化，代表人类呼吸的非公平性。 PHD_（PM）和PHD_（LF）的平均误差最低（4％），PHD_（LS）的错误略高。 PHD_（FT）在估计单个PHD值时具有零误差，但在估计时变验PHDS时具有相当大的错误。 PHDP在所有情况下呈现了最高的错误。该方法的应用是在正常和COPD受试者的实际隔间胸壁音量信号中的应用。初步结果表明，该方法在对COPD患者和健康对照之间的异步呼吸差异的量化方面很有前景。

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