Adaptive excitation signals for low frequency FOT

Cedric Busschots, Andy Keymolen, Hannes Maes, D. Peumans, Johan Pattyn, G. Vandersteen, J. Lataire
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引用次数: 2

Abstract

The low frequency Forced Oscillation Technique (FOT) has a high diagnostic potential for the detection of respiratory diseases. However, it is not yet widely accepted in clinical practice. The presence of the patient's breathing generally results in patient-unfriendly measurement protocols. These are needed to extract the important low frequency information about the patients' respiratory system.This work presents a novel technique to apply the low frequency FOT during spontaneous breathing. This is accomplished by adding an external visual stimulus to encourage the patient to approximately synchronize his/her breathing in combination with an excitation signal that is adapted to the patient's natural breathing frequency. The breathing and FOT contributions can therefore be separated. This paper contains a proof of concept of this method and proposes measurements on healthy subjects.
低频FOT的自适应激励信号
低频强迫振荡技术(FOT)在呼吸系统疾病的诊断中具有很高的潜力。然而,在临床实践中尚未被广泛接受。患者呼吸的存在通常会导致对患者不友好的测量方案。这些是提取患者呼吸系统重要的低频信息所必需的。本文提出了一种应用低频傅立叶变换进行自主呼吸的新方法。这是通过添加外部视觉刺激来鼓励患者近似同步他/她的呼吸,并结合适应患者自然呼吸频率的激励信号来实现的。因此,呼吸和FOT贡献可以分开。本文包含了该方法的概念证明,并提出了健康受试者的测量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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