Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.
Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.
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DOI：
10.1016/j.jvoice.2011.09.006
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发表时间：
2012-09
期刊：
影响因子：
--
通讯作者：
Welham NV
中科院分区：
文献类型：
--
作者：
Choi SH;Zhang Y;Jiang JJ;Bless DM;Welham NV
本研究的主要目标是评估对与声带疤痕和声带沟相关的发声困难进行声学分析的非线性动态方法。病例对照研究。使用相关维数 (D2) 和相位图、基于时域的扰动指数（抖动、闪烁、信噪比 [SNR]）和听觉感知评级方案对来自疤痕/沟患者和年龄/性别匹配对照的声学声音样本进行分析。进行信号分型以识别具有分叉和非周期性的样本。 2 型和 3 型声信号在疤痕/沟患者组中具有高度代表性。当对数据进行分析时，无论信号类型如何，所有感知和声学指标都成功区分了疤痕/沟患者和对照组。去除 2 型和 3 型信号消除了先前确定的实验组之间除 D2 之外的所有声学指数的差异。我们的数据集中观察到 SNR 最强的感知声学相关性； D2 的相关性最弱。这些发现表明，在分析与疤痕/沟相关的发声障碍时，D2 不如基于时域的扰动测量；然而，基于时域的算法本质上容易在高度非周期性（即类型 2 和 3）信号条件下受到通货膨胀的影响。因此，听觉感知分析不受信号非周期性的阻碍，是区分疤痕/沟患者声音与正常声音的有效策略。该领域未来的声学分析研究应考虑替代（例如基于频域和时频域）的措施以及其他非线性方法。
The primary goal of this study was to evaluate a nonlinear dynamic approach to the acoustic analysis of dysphonia associated with vocal fold scar and sulcus vocalis. Case-control study. Acoustic voice samples from scar/sulcus patients and age/sex-matched controls were analyzed using correlation dimension (D2) and phase plots, time-domain based perturbation indices (jitter, shimmer, signal-to-noise ratio [SNR]), and an auditory-perceptual rating scheme. Signal typing was performed to identify samples with bifurcations and aperiodicity. Type 2 and 3 acoustic signals were highly represented in the scar/sulcus patient group. When data were analyzed irrespective of signal type, all perceptual and acoustic indices successfully distinguished scar/sulcus patients from controls. Removal of type 2 and 3 signals eliminated the previously identified differences between experimental groups for all acoustic indices except D2. The strongest perceptual-acoustic correlation in our dataset was observed for SNR; the weakest correlation was observed for D2. These findings suggest that D2 is inferior to time-domain based perturbation measures for the analysis of dysphonia associated with scar/sulcus; however, time-domain based algorithms are inherently susceptible to inflation under highly aperiodic (i.e., type 2 and 3) signal conditions. Auditory-perceptual analysis, unhindered by signal aperiodicity, is therefore a robust strategy for distinguishing scar/sulcus patient voices from normal voices. Future acoustic analysis research in this area should consider alternative (e.g., frequency- and quefrency-domain based) measures alongside additional nonlinear approaches.
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