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通过气管声音频率分析检测气管狭窄

Detection of tracheal stenosis by frequency analysis of tracheal sounds.

作者信息

Yonemaru M, Kikuchi K, Mori M, Kawai A, Abe T, Kawashiro T, Ishihara T, Yokoyama T

机构信息

Department of Medicine, Keio University School of Medicine, Tokyo, Japan.

出版信息

J Appl Physiol (1985). 1993 Aug;75(2):605-12. doi: 10.1152/jappl.1993.75.2.605.

Abstract

To develop a simple noninvasive method for detecting tracheal stenosis, tracheal sounds were analyzed using fast-Fourier transform. The subjects were all female and included 5 normal volunteers and 13 patients with tracheal stenosis mostly secondary to thyroid cancer (11 extrathoracic and 2 intrathoracic lesions). Tracheal sounds were recorded during spontaneous breathing and were digitized with an analog-to-digital converter. Pulmonary functions, including forced expiratory volume in 1 s (FEV1) expressed as percentage of vital capacity, peak expiratory flow rate (PEFR), the ratio of FEV1 to PEFR (Empey's index), and the ratio of expiratory to inspiratory flow rates at 50% vital capacity, were measured. A computed tomography scan was used to obtain the tracheal minimum cross-sectional area. Whereas PEFR demonstrated a weak correlation with the stenotic area, FEV1%, Empey's index, and the ratio of expiratory to inspiratory flow rates at 50% vital capacity did not. The power of the fast-Fourier transform spectrum of normal tracheal sounds decreased as the frequency increased up to 500 Hz. A small spectral peak was observed at approximately 1 kHz. Patients with significant tracheal stenosis demonstrated an increase in the peak spectral power at approximately 1 kHz and in the mean spectral power from 600 to 1,300 Hz in their tracheal sounds. In patients with extrathoracic lesions, the peak and mean spectral powers correlated well with the area of the stenosis as defined by computed tomography scan. In patients with intrathoracic lesions, abnormalities in the pulmonary functions as well as tracheal sound spectra appeared more evident despite milder stenoses.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为开发一种检测气管狭窄的简单非侵入性方法,利用快速傅里叶变换对气管声音进行分析。受试者均为女性,包括5名正常志愿者和13例气管狭窄患者,大多继发于甲状腺癌(11例胸外病变和2例胸内病变)。在自主呼吸时记录气管声音,并用模数转换器进行数字化处理。测量肺功能,包括以肺活量百分比表示的第1秒用力呼气量(FEV1)、呼气峰值流速(PEFR)、FEV1与PEFR的比值(恩佩指数)以及肺活量50%时呼气与吸气流速的比值。使用计算机断层扫描获取气管最小横截面积。虽然PEFR与狭窄面积呈弱相关,但FEV1%、恩佩指数以及肺活量50%时呼气与吸气流速的比值并非如此。正常气管声音的快速傅里叶变换频谱功率在频率增加至500 Hz时降低。在约1 kHz处观察到一个小的频谱峰值。有明显气管狭窄的患者在其气管声音中,约1 kHz处的频谱峰值功率以及600至1300 Hz的平均频谱功率增加。在胸外病变患者中,峰值和平均频谱功率与计算机断层扫描定义的狭窄面积相关性良好。在胸内病变患者中,尽管狭窄较轻,但肺功能异常以及气管声音频谱异常更为明显。(摘要截断于250字)

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