基于高速视频内镜的嗓音病理学分类
Voice pathology classification based on High-Speed Videoendoscopy.
作者信息
Panek D, Skalski A, Zielinski T, Deliyski D D
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:735-8. doi: 10.1109/EMBC.2015.7318467.
Abstract
This work presents a method for automatical and objective classification of patients with healthy and pathological vocal fold vibration impairments using High-Speed Videoendoscopy of the larynx. We used an image segmentation and extraction of a novel set of numerical parameters describing the spatio-temporal dynamics of vocal folds to classification according to the normal and pathological cases and achieved 73,3% cross-validation classification accuracy. This approach is promising to develop an automatic diagnosis tool of voice disorders.
摘要
这项工作提出了一种利用喉部高速视频内窥镜对声带振动健康和病理性损伤患者进行自动、客观分类的方法。我们使用了一种图像分割方法，并提取了一组描述声带时空动态的新数值参数，用于根据正常和病理情况进行分类，交叉验证分类准确率达到了73.3%。这种方法有望开发出一种语音障碍自动诊断工具。
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本文引用的文献
1
Quantifying spatiotemporal properties of vocal fold dynamics based on a multiscale analysis of phonovibrograms.
IEEE Trans Biomed Eng. 2014 Sep;61(9):2422-33. doi: 10.1109/TBME.2014.2318774. Epub 2014 Apr 23.
2
Objective quantification of pre- and postphonosurgery vocal fold vibratory characteristics using high-speed videoendoscopy and a harmonic waveform model.
J Speech Lang Hear Res. 2014 Jun 1;57(3):743-57. doi: 10.1044/2013_JSLHR-S-12-0202.
3
Spatiotemporal analysis of normal and pathological human vocal fold vibrations.
Am J Otolaryngol. 2012 Nov-Dec;33(6):641-9. doi: 10.1016/j.amjoto.2012.01.002. Epub 2012 Jul 26.
4
Analysis of vocal fold function from acoustic data simultaneously recorded with high-speed endoscopy.
J Voice. 2012 Nov;26(6):726-33. doi: 10.1016/j.jvoice.2012.02.001. Epub 2012 May 25.
5
Multiparametric analysis of vocal fold vibrations in healthy and disordered voices in high-speed imaging.
J Voice. 2011 Sep;25(5):576-90. doi: 10.1016/j.jvoice.2010.04.004. Epub 2010 Aug 21.
6
Classification of functional voice disorders based on phonovibrograms.
Artif Intell Med. 2010 May;49(1):51-9. doi: 10.1016/j.artmed.2010.01.001.
7
Voice production mechanisms following phonosurgical treatment of early glottic cancer.
Ann Otol Rhinol Laryngol. 2010 Jan;119(1):1-9. doi: 10.1177/000348941011900101.
8
Comparison of high-speed digital imaging with stroboscopy for laryngeal imaging of glottal disorders.
Ann Otol Rhinol Laryngol. 2008 Jun;117(6):413-24. doi: 10.1177/000348940811700603.
9
Phonovibrography: mapping high-speed movies of vocal fold vibrations into 2-D diagrams for visualizing and analyzing the underlying laryngeal dynamics.
IEEE Trans Med Imaging. 2008 Mar;27(3):300-9. doi: 10.1109/TMI.2007.903690.
10
Variability of normal vocal fold dynamics for different vocal loading in one healthy subject investigated by phonovibrograms.
J Voice. 2009 Mar;23(2):175-81. doi: 10.1016/j.jvoice.2007.09.008. Epub 2008 Mar 3.
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