Computerized Analysis of Acoustic Characteristics of Patients with Internal Nasal Valve Collapse Before and After Functional Rhinoplasty.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Journal of Medical Signals & Sensors Pub Date : 2015-10-01
Fariba Rezaei, Mohammad Reza Omrani, Fateme Abnavi, Fariba Mojiri, Marzieh Golabbakhsh, Sohrab Barati, Behzad Mahaki
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引用次数: 0

Abstract

Acoustic analysis of sounds produced during speech provides significant information about the physiology of larynx and vocal tract. The analysis of voice power spectrum is a fundamental sensitive method of acoustic assessment that provides valuable information about the voice source and characteristics of vocal tract resonance cavities. The changes in long-term average spectrum (LTAS) spectral tilt and harmony to noise ratio (HNR) were analyzed to assess the voice quality before and after functional rhinoplasty in patients with internal nasal valve collapse. Before and 3 months after functional rhinoplasty, 12 participants were evaluated and HNR and LTAS spectral tilt in /a/ and /i/ vowels were estimated. It was seen that an increase in HNR and a decrease in LTAS spectral tilt existed after surgery. Mean LTAS spectral tilt in vowel /a/ decreased from 2.37 ± 1.04 to 2.28 ± 1.17 (P = 0.388), and it was decreased from 4.16 ± 1.65 to 2.73 ± 0.69 in vowel /i/ (P = 0.008). Mean HNR in the vowel /a/ increased from 20.71 ± 3.93 to 25.06 ± 2.67 (P = 0.002), and it was increased from 21.28 ± 4.11 to 25.26 ± 3.94 in vowel /i/ (P = 0.002). Modification of the vocal tract caused the vocal cords to close sufficiently, and this showed that although rhinoplasty did not affect the larynx directly, it changes the structure of the vocal tract and consequently the resonance of voice production. The aim of this study was to investigate the changes in voice parameters after functional rhinoplasty in patients with internal nasal valve collapse by computerized analysis of acoustic characteristics.

功能性鼻整形术前后鼻内瓣膜塌陷患者声学特征的计算机分析。
对说话时产生的声音进行声学分析,可提供有关喉和声道生理的重要信息。声音功率谱分析是一种基本的敏感声学评估方法,可提供有关声源和声道共鸣腔特征的宝贵信息。该研究分析了长期平均频谱(LTAS)频谱倾斜度和和噪比(HNR)的变化,以评估鼻内瓣膜塌陷患者在功能性鼻整形术前后的嗓音质量。在功能性鼻整形术前和术后 3 个月,对 12 名参与者进行了评估,并估算了 /a/ 和 /i/ 元音的 HNR 和 LTAS 频谱倾斜度。结果显示,术后 HNR 增加,LTAS 频谱倾斜度降低。元音 /a/ 的平均 LTAS 频谱倾斜度从 2.37 ± 1.04 降至 2.28 ± 1.17(P = 0.388),元音 /i/ 的平均 LTAS 频谱倾斜度从 4.16 ± 1.65 降至 2.73 ± 0.69(P = 0.008)。元音 /a/ 的平均 HNR 从 20.71 ± 3.93 增加到 25.06 ± 2.67(P = 0.002),元音 /i/ 的平均 HNR 从 21.28 ± 4.11 增加到 25.26 ± 3.94(P = 0.002)。声道的改变导致声带充分闭合,这表明鼻整形手术虽然不直接影响喉部,但却改变了声道的结构,从而改变了发声的共鸣。本研究旨在通过计算机声学特性分析,研究鼻内瓣膜塌陷患者在功能性鼻整形术后嗓音参数的变化。
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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来源期刊
Journal of Medical Signals & Sensors
Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-
CiteScore
2.30
自引率
0.00%
发文量
53
审稿时长
33 weeks
期刊介绍: JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.
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