用谱估计法获取和分析正常和病变受试者的脑干听觉诱发反应。

H C Nagaraj, S Radhakrishnan, S Srinivasan, T R Swaminathan
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引用次数: 0

摘要

人类脑干听觉诱发反应(BAERs)是一种感觉诱发电位,可以在短暂的声刺激(咔哒声信号)后几毫秒内被记录下来。本文提出了一种新的技术,通过计算迄今为止未使用的BAER信号的功率谱参数来明确区分正常人和眩晕和耳聋患者。正常受试者的BAER频谱包含三个主要的频率成分,分别是100、500和1000 Hz左右的低、中、高频成分,而患病受试者则没有。利用平均功率频率、中位数频率、优势频率综合功率与频谱总功率之比以及优势频率分量间的频谱功率变化(CP)等频谱参数,将记录的BAER信号分为正常信号和患者信号,帮助临床医生更快更好地诊断。估计了不同组的CP范围,这似乎是BAER信号分类中最主要的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acquisition and analysis of brainstem auditory evoked responses of normal and diseased subjects by spectral estimation.

Human brainstem auditory evoked responses (BAERs) are sensory evoked potentials that can be recorded within a few milliseconds following a transient acoustic stimulus (click signal). This paper suggests a novel technique to clearly demarcate normals and patients with complaints of vertigo and deafness by computing hitherto unused power spectral parameters from the BAER signals recorded on them. The BAER spectrum of normal subjects contains three main frequency components, i.e. low-, mid- and high-frequency components around 100, 500 and 1000 Hz, respectively, which is not so in the case of diseased subjects. The spectral parameters, i.e. the mean power frequency, median frequency, the ratios of the integrated power at dominant frequencies to that of the total power in spectrum and change in spectral power (CP) between these dominant frequency components are used to classify the recorded BAER signals into those of normals and the patients, and aid the clinician in quick and better diagnosis. The ranges of CP are estimated for the different groups and appear to be the most dominant parameter in the classification of the BAER signals.

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