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阻塞性睡眠呼吸暂停人群中与临床变量相关的共振峰频率和带宽

Formant Frequencies and Bandwidths in Relation to Clinical Variables in an Obstructive Sleep Apnea Population.

作者信息

Montero Benavides Ana, Blanco Murillo José Luis, Fernández Pozo Rubén, Espinoza Cuadros Fernando, Torre Toledano Doroteo, Alcázar-Ramírez José D, Hernández Gómez Luis A

机构信息

Signal, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.

Signal, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.

出版信息

J Voice. 2016 Jan;30(1):21-9. doi: 10.1016/j.jvoice.2015.01.006. Epub 2015 Mar 17.

Abstract

OBJECTIVES

We investigated whether differences in formants and their bandwidths, previously reported comparing small sample population of healthy individuals and patients with obstructive sleep apnea (OSA), are detected on a larger population representative of a clinical practice scenario. We examine possible indirect or mediated effects of clinical variables, which may shed some light on the connection between speech and OSA.

STUDY DESIGN

In a retrospective study, 241 male subjects suspected to suffer from OSA were examined. The apnea-hypopnea index (AHI) was obtained for every subject using overnight polysomnography. Furthermore, the clinical variables usually reported as predictors of OSA, body mass index (BMI), cervical perimeter, height, weight, and age, were collected. Voice samples of sustained phonations of the vowels /a/, /e/, /i/, /o/, and /u/ were recorded.

METHODS

Formant frequencies F1, F2, and F3 and bandwidths BW1, BW2, and BW3 of the sustained vowels were determined using spectrographic analysis. Correlations among AHI, clinical parameters, and formants and bandwidths were determined.

RESULTS

Correlations between AHI and clinical variables were stronger than those between AHI and voice features. AHI only correlates poorly with BW2 of /a/ and BW3 of /e/. A number of further weak but significant correlations have been detected between voice and clinical variables. Most of them were for height and age, with two higher values for age and F2 of /o/ and F2 of /u/. Only few very weak correlations were detected between voice and BMI, weight and cervical perimeter, wich are the clinical variables more correlated with AHI.

CONCLUSIONS

No significant correlations were detected between AHI and formant frequencies and bandwidths. Correlations between voice and other clinical factors characterizing OSA are weak but highlight the importance of considering indirect or mediated effects of such clinical variables in any research on speech and OSA.

摘要

目的

我们研究了在代表临床实践场景的更大人群中,是否能检测到之前报道的健康个体和阻塞性睡眠呼吸暂停(OSA)患者小样本群体之间共振峰及其带宽的差异。我们检查了临床变量可能存在的间接或介导效应,这可能有助于揭示言语与OSA之间的联系。

研究设计

在一项回顾性研究中,对241名疑似患有OSA的男性受试者进行了检查。通过夜间多导睡眠图为每个受试者获取呼吸暂停低通气指数(AHI)。此外,收集了通常作为OSA预测指标的临床变量,包括体重指数(BMI)、颈围、身高、体重和年龄。记录了元音/a/、/e/、/i/、/o/和/u/持续发声的语音样本。

方法

使用频谱分析确定持续元音的共振峰频率F1、F2和F3以及带宽BW1、BW2和BW3。确定AHI、临床参数以及共振峰和带宽之间的相关性。

结果

AHI与临床变量之间的相关性强于AHI与语音特征之间的相关性。AHI仅与/a/的BW2和/e/的BW3有较弱的相关性。在语音和临床变量之间检测到了一些进一步的弱但显著的相关性。其中大多数与身高和年龄有关,年龄与/o/的F2以及/u/的F2有两个较高的值。在语音与BMI、体重和颈围之间仅检测到非常弱的相关性,而这些是与AHI相关性更强的临床变量。

结论

在AHI与共振峰频率和带宽之间未检测到显著相关性。语音与表征OSA的其他临床因素之间的相关性较弱,但突出了在任何关于言语和OSA的研究中考虑此类临床变量的间接或介导效应的重要性。

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