非线性动力学方法在声带息肉和囊肿患者嗓音信号分析中的应用

Nonlinear Dynamic Analysis in Voices Signal from Patients with Vocal Polyps and Cysts

余明强;徐新林;张赛;张宇;郭永清;林生智;庄佩耘;蒋家琪;

1:厦门大学附属中山医院耳鼻咽喉-头颈外科

2:福建医科大学协和临床医学院

3:厦门大学海洋与环境物理学院

4:复旦大学附属眼耳鼻喉医院

摘要
目的比较传统扰动方法与非线性动力学方法分析正常人、声带息肉和声带囊肿患者嗓音信号的结果,探讨非线性动力学方法的临床应用价值。方法对20例正常受试者、26例声带囊肿患者和29例声带息肉患者,分别应用传统扰动方法测量声学指标频率微扰(jitter)、振幅微扰(shimmer)和应用非线性动力学方法重构相空间、计算关联维(D2)等,比较其结果。结果正常受试者嗓音信号的jitter、shimmer和D2值均低于声带息肉和声带囊肿患者,差异有统计学意义(P<0.05),而声带息肉和声带囊肿患者之间jitter、shimmer和D2值的差异无统计学意义(P>0.05),声带息肉和声带囊肿患者嗓音信号的重构相空间复杂程度相似,但比正常人复杂。D2值在ROC曲线下的面积小于jitter和shimmer值,其中5例患者嗓音信号不能应用扰动方法分析,而非线性动力学方法均可分析。结论扰动方法和非线性动力学方法对声带息肉和声带囊肿患者异常嗓音均有诊断价值,扰动方法的特异性优于非线性动力学方法,但其对信号的规则性要求较高,适用性较低,非线性动力学方法可作为扰动方法的重要补充。
关键词
非线性动力学方法;扰动方法;声带息肉;声带囊肿
基金项目(Foundation):
国家自然科学基金项目资助(NSFC81070773)
作者
余明强;徐新林;张赛;张宇;郭永清;林生智;庄佩耘;蒋家琪;
参考文献

1 Titze IR,Liang H.Comparison of F0extraction method for high-precision voice perturbation measurements[J].J Speech Hear Res,1993,36:1 120.

2 Yu P,Garrel R,Nicollas R,et al.Objective voice analysis in dysphonic patients:new data including nonlinear measure-ments[J].Folia Phoniatr Logop,2007,59:20.

3 Robb MP.Bifurcations and chaos in the cries of full-term and preterm infants[J].Folia Phoniatr Logop,2003,55:233.

4 Zhang Y,Jiang JJ,Biazzo L,et al.Perturbation and nonlinear with unilateral laryngeal paralysis[J].J Voice,2005,19:519.

5 Jiang JJ,Zhang Y,MacCallum J,et al.Objective acoustic a-nalysis of pathological voices from patients with vocal nodules and polyps[J].Folia Phoniatr Logop,2009,61:342.

6 Zhang Y,McGilligan C,Zhou L,et al.Nonlinear dynamic a-nalysis of voices before and after surgical excision of vocal pol-yps[J].J Acoust Soc Am,2004,115:2 270.

7 Baken RJ.Irregularity of vocal period and amplitude:a first ap-proach to the fractal analysis of voice[J].Journal of Voice,1990,4:185.

8 Titze IR.Workshop on acoustic voice analysis:summary state-ment[J].Denver,National Center for Voice and Speech,1995,1:36.

9 Packard NH,Crutchfield JP,Farmer JD,et al.Geometry from a time serise[J].Phys Rev Lett,1980,45:712.

10 Takens F.Detecting strange attractors in turbulence[J].Springer Lecture Notes Math,1981,898:336.

11 Fraser AM,Swinney HL.Independent coordinates for strange attractors from mutual information[J].Physical Review A,1986,33:1 134.

12 Grassberger P,Procaccia J.Measuring the strangeness of strange sttractors[J].Physica D:Nonlinear phenomena,1983,9:189.

13 Poon CS,Merrill CK.Decrease of cardiac chaos in congestive heart failure[J].Nature,1997,389:492.

14 Hornero R,Alonso A,Jimeno N,et al.Nonlinear analysis of time series generated by schizophrenic patients[J].IEEE Eng Med Biol Mag,1999,3:84.

15 Moon FC,Hilborn RC.Chaotic and fractal dynamics:an in-troduction for applied scientists and engineer[J].American Journal of Physics,1993,61:670.

16 Jiang JJ,Zhang Y,Ford CN.Nonlinear dynamics of phona-tions in excised larynx experiments[J].J Acoustic Soc Am,2003,114:2 198.

17 Chai LY,Alicia JS,Zhang Y et al.Perturbation and nonlin-ear dynamic analysis of adult male smokers[J].J Voice,2011,25:342.

18 Zhang Y,Jiang JJ.Chaotic vibration behaviour of a vocal-fold model with a unilateral polyp[J].J Acoust Soc Am,2004,115:1 266.

19 Berry DA,Herzel H,Titze IR,et al.Bifurcations in excised larynx experiments[J].J Voice,1996,10:129.