Spatiotemporal analysis of normal and pathological human vocal fold vibrations

CORC > 厦门大学 > 海洋环境－已发表论文

	Spatiotemporal analysis of normal and pathological human vocal fold vibrations
	Krausert, Christopher R. ; Liang, Yufang ; Zhang, Yu ; Rieves, Adam L. ; Geurink, Kyle R. ; Jiang, Jack J. ; Zhang Y(张宇)
刊名	http://dx.doi.org/10.1016/j.amjoto.2012.01.002
	2012
关键词	DISORDERS LESIONS
英文摘要	National Institutes of Health from the National Institute on Deafness and Other Communication Disorders [R01 DC008850]; Purpose: For spatiotemporal analysis to become a relevant clinical tool, it must be applied to human vocal fold vibration. Receiver operating characteristic (ROC) analysis will help assess the ability of spatiotemporal parameters to detect pathological vibration. Materials and Methods: Spatiotemporal parameters of correlation length and entropy were extracted from high-speed videos of 124 subjects, 67 without vocal fold pathology and 57 with either vocal fold polyps or nodules. Mann-Whitney rank sum tests were performed to compare normal vocal fold vibrations to pathological vibrations, and ROC analysis was used to assess the diagnostic value of spatiotemporal analysis. Results: A statistically significant difference was found between the normal and pathological groups in both correlation length (P < .001) and entropy (P < .001). The ROC analysis showed an area under the curve of 0.85 for correlation length, 0.87 for entropy, and 0.92 when the 2 parameters were combined. A statistically significant difference was not found between the nodules and polyps groups in either correlation length (P = .227) or entropy (P = .943). The ROC analysis showed an area under the curve of 0.63 for correlation length and 0.51 for entropy. Conclusions: Although they could not effectively distinguish vibration of vocal folds with nodules from those with polyps, the spatiotemporal parameters correlation length and entropy exhibit the ability to differentiate normal and pathological vocal fold vibration and may represent a diagnostic tool for objectively detecting abnormal vibration in the future, especially in neurological voice disorders and vocal folds without a visible lesion. (c) 2012 Elsevier Inc. All rights reserved.
语种	英语
出版者	AM J OTOLARYNG
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/87741]
专题	海洋环境－已发表论文
推荐引用方式 GB/T 7714	Krausert, Christopher R.,Liang, Yufang,Zhang, Yu,et al. Spatiotemporal analysis of normal and pathological human vocal fold vibrations[J]. http://dx.doi.org/10.1016/j.amjoto.2012.01.002,2012.
APA	Krausert, Christopher R..,Liang, Yufang.,Zhang, Yu.,Rieves, Adam L..,Geurink, Kyle R..,...&张宇.(2012).Spatiotemporal analysis of normal and pathological human vocal fold vibrations.http://dx.doi.org/10.1016/j.amjoto.2012.01.002.
MLA	Krausert, Christopher R.,et al."Spatiotemporal analysis of normal and pathological human vocal fold vibrations".http://dx.doi.org/10.1016/j.amjoto.2012.01.002 (2012).