Classification of functional voice disorders based on phonovibrograms

Artificial Intelligence in Medicine

Volumn 49, Issue 1, 2010, Pages 51-59

  Voigt, Daniel ^a   DÖ, Michael ^a   Braunschweig, Thomas ^b   Yang, Anxiong ^a   Eysholdt, Ulrich ^a   Lohscheller, Jö ^c  

^a UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^b JENA UNIVERSITY HOSPITAL   (Germany)

^c TRIER UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

Diagnosis support system; Feature extraction; Laryngeal high speed video; Machine learning; Pattern recognition; Phonovibrogram; PVG; Voice pathology classification

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; CLINICAL ASSESSMENTS; COMPARATIVE STUDIES; DIAGNOSIS SUPPORT SYSTEMS; DISCRIMINATORY POWER; DYNAMIC BEHAVIORS; FEATURE EXTRACTION AND CLASSIFICATION; FEATURE SETS; HIGH-SPEED; HIGH-SPEED VIDEO; MACHINE-LEARNING; NON-LINEAR MODEL; NUMERICAL FEATURES; OBJECTIVE ANALYSIS; PATHOLOGICAL VOICE; PRE-PROCESSED DATA; VISUALIZATION TECHNIQUE; VOCAL FOLD VIBRATION; VOCAL FOLDS; VOICE ANALYSIS; VOICE PATHOLOGY;

AUTOMATIC INDEXING; HIGH SPEED CAMERAS; IMAGE SEGMENTATION; LEARNING SYSTEMS; NUMERICAL METHODS; PATHOLOGY; PATTERN RECOGNITION SYSTEMS; VIBRATION ANALYSIS; VISUALIZATION;

FEATURE EXTRACTION;

ADULT; ARTICLE; AUTOMATION; CLINICAL ASSESSMENT; COMPUTER AIDED DESIGN; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; DYSPHONIA; FEMALE; FREQUENCY DISCRIMINATION; FUNCTIONAL DISEASE; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; NONLINEAR SYSTEM; PHONATION; PHONOVIBROGRAM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VIBRATION SENSE; VOICE CHANGE;

DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LARYNGOSCOPY; PATTERN RECOGNITION, AUTOMATED; PHONATION; VIDEO RECORDING; VOCAL CORDS; VOICE DISORDERS;

EID: 77951633194     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2010.01.001     Document Type: Article

References (49)

1. Hoppe U. Mechanisms of hoarseness-visualization and interpretation by means of nonlinear dynamics 2001, Shaker, Aachen, Germany.
2. Dejonckere P.H., Bradley P., Clemente P., Cornut G., Crevier-Buchman L., Friedrich G. A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques. guideline elaborated by the committee on phoniatrics of the European laryngological society (els). Eur Arch Otorhinolaryngol 2001, 258(February 2):77-82.
3. van Michel C., Pfister K.A., Luchsinger R. Electroglottography and slow-motion films of the larynx, comparison of results. Folia Phoniatr 1970, 22(2):81-91.
4. Childers D.G., Larar J.N. Electroglottography for laryngeal function assessment and speech analysis. IEEE Trans Biomed Eng 1984, 31(December 12):807-817.
5. Raes J., Lebrun Y., Clement P. Videostroboscopy of the larynx. Acta Otorhinolaryngol Belg 1986, 40(2):421-425.
6. Švec J.G., Schutte H.K. Videokymography: high-speed line scanning of vocal fold vibration. J Voice 1996, 10(June 2):201-205.
7. Wittenberg T., Tigges M., Mergell P., Eysholdt U. Functional imaging of vocal fold vibration: digital multislice high-speed kymography. J Voice 2000, 14(September 3):422-442.
8. Olthoff A., Woywod C., Kruse E. Stroboscopy versus high-speed glottography: a comparative study. Laryngoscope 2007, 117(June 6):1123-1126.
9. Yumoto E. Aerodynamics, voice quality, and laryngeal image analysis of normal and pathologic voices. Curr Opin Otolaryngol Head Neck Surg 2004, 12(June 3):166-173.
10. Deliyski D.D., Petrushev P.P., Bonilha H.S., Gerlach T.T., Martin-Harris B., Hillman R.E. Clinical implementation of laryngeal high-speed videoendoscopy: challenges and evolution. Folia Phoniatr Logop 2008, 60(1):33-44.
11. Eysholdt U., Rosanowski F., Hoppe U. Vocal fold vibration irregularities caused by different types of laryngeal asymmetry. Eur Arch Otorhinolaryngol 2003, 260(September 8):412-417.
12. Morrison M.D., Nichol H., Rammage L.A. Diagnostic criteria in functional dysphonia. Laryngoscope 1986, 96(January 1):1-8.
13. Altman K.W., Atkinson C., Lazarus C. Current and emerging concepts in muscle tension dysphonia: a 30-month review. J Voice 2005, 19(June 2):261-267.
14. Verikas A., Gelzinis A., Bacauskiene M., Uloza V. Towards a computer-aided diagnosis system for vocal cord diseases. Artif Intell Med 2006, 36(January 1):71-84.
15. Rosen C.A., Murry T. Nomenclature of voice disorders and vocal pathology. Otolaryngol Clin North Am 2000, 33(October 5):1035-1046.
16. Wendler J., Seidner W., Eysholdt U. Lehrbuch der Phoniatrie und Pädaudiologie 2005, Thieme, Stuttgart, Germany. 4th ed.
17. Seifert E., Kollbrunner J. Stress and distress in non-organic voice disorder. Swiss Med Wkly 2005, 135(July 27/28):387-397.
18. Švec J.G., Sram F., Schutte H.K. Videokymography in voice disorders: what to look for?. Ann Otol Rhinol Laryngol 2007, 116(March 3):172-180.
19. Qiu Q., Schutte H.K., Gu L., Yu Q. An automatic method to quantify the vibration properties of human vocal folds via videokymography. Folia Phoniatr Logop 2003, 55(3):128-136.
20. Wurzbacher T., Döllinger M., Schwarz R., Hoppe U., Eysholdt U., Lohscheller J. Spatiotemporal classification of vocal fold dynamics by a multimass model comprising time-dependent parameters. J Acoust Soc Am 2008, 123(April 4):2324-2334.
21. Mergell P., Herzel H., Titze I.R. Irregular vocal-fold vibration-high-speed observation and modeling. J Acoust Soc Am 2000, 108(December 6):2996-3002.
22. Yan Y., Ahmad K., Kunduk M., Bless D. Analysis of vocal-fold vibrations from high-speed laryngeal images using a hilbert transform-based methodology. J Voice 2005, 19(June 2):161-175.
23. Yan Y., Damrose E., Bless D. Functional analysis of voice using simultaneous high-speed imaging and acoustic recordings. J Voice 2007, 21(September 5):604-616.
24. Zhang Y., Tao C., Jiang J.J. Parameter estimation of an asymmetric vocal-fold system from glottal area time series using chaos synchronization. Chaos 2006, 16(June 2):023118.
25. Lohscheller J., Toy H., Rosanowski F., Eysholdt U., Döllinger M. Clinically evaluated procedure for the reconstruction of vocal fold vibrations from endoscopic digital high-speed videos. Med Image Anal 2007, 11(August 4):400-413.
26. Lohscheller J., Eysholdt U., Toy H., Döllinger M. 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, 27(March 3):300-309.
27. Lohscheller J., Eysholdt U. Phonovibrogram visualization of entire vocal fold dynamics. Laryngoscope 2008, 118(April 4):753-758.
28. Vapnik V.N. The nature of statistical learning theory 1995, Springer-Verlag New York, Inc., New York, NY, USA.
29. Yang S.Y., Huang Q., Li L.L., Ma C.Y., Zhang H., Bai R. An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs. Artif Intell Med 2009, 46(June 2):155-163.
30. Asl B.M., Setarehdan S.K., Mohebbi M. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif Intell Med 2008, 44(September 1):51-64.
31. Titze IR. Workshop on acoustic voice analysis: summary statement, 1995.
32. Sapienza C.M., Stathopoulos E.T., Dromey C. Approximations of open quotient and speed quotient from glottal airflow and egg waveforms: effects of measurement criteria and sound pressure level. J Voice 1998, 12(March 1):31-43.
33. Bielamowicz S., Kapoor R., Schwartz J., Stager S.V. Relationship among glottal area, static supraglottic compression, and laryngeal function studies in unilateral vocal fold paresis and paralysis. J Voice 2004, 18(March 1):138-145.
34. Henrich N., D'Alessandro C., Doval B., Castellengo M. Glottal open quotient in singing: measurements and correlation with laryngeal mechanisms, vocal intensity, and fundamental frequency. J Acoust Soc Am 2005, 117(March 3 Pt 1):1417-1430.
35. Deliyski D.D., Shaw H.S., Evans M.K., Vesselinov R. Regression tree approach to studying factors influencing acoustic voice analysis. Folia Phoniatr Logop 2006, 58(4):274-288.
36. Orlikoff R.F., Baken R.J. Consideration of the relationship between the fundamental frequency of phonation and vocal jitter. Folia Phoniatr (Basel) 1990, 42(1):31-40.
37. Rasp O., Lohscheller J., Döllinger M., Eysholdt U., Hoppe U. The pitch rise paradigm: a new task for real-time endoscopy of non-stationary phonation. Folia Phoniatr Logop 2006, 58(3):175-185.
38. Japkowicz N., Stephen S. The class imbalance problem: a systematic study. Intell Data Anal 2002, 6(5):429-449.
39. Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 1998, 2(2):121-167.
40. Beyer H.G., Schwefel H.P. Evolution strategies-a comprehensive introduction. Nat Comput 2002, 1(May):3-52.
41. Hsu CW, Chang CC, Lin CJ. A practical guide to support vector classification. Technical report, Department of Computer Science and Information Engineering, National Taiwan University, 2003.
42. Kohavi R. A study of cross-validation and bootstrap for accuracy estimation and model selection. IJCAI 1995, 1137-1145.
43. Linder R., Albers A.E., Hess M., Pöppl S.J., Schönweiler R. Artificial neural network-based classification to screen for dysphonia using psychoacoustic scaling of acoustic voice features. J Voice 2008, 22(March 2):155-163.
44. Awan S.N., Roy N. Acoustic prediction of voice type in women with functional dysphonia. J Voice 2005, 19(June 2):268-282.
45. Little M.A., McSharry P.E., Roberts S.J., Costello D.A.E., Moroz I.M. Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection. Biomed Eng Online 2007, 6:23.
46. Eadie T.L., Doyle P.C. Classification of dysphonic voice: acoustic and auditory-perceptual measures. J Voice 2005, 19(March 1):1-14.
47. Alvarez M., Henao R., Castellanos G., Godino J.I., Orozco A. Kernel principal component analysis through time for voice disorder classification. Conf Proc IEEE Eng Med Biol Soc 2006, 1:5511-5514.
48. Döllinger M., Lohscheller J., McWhorter A., Kunduk M. Variability of normal vocal fold dynamics for different vocal loading in one healthy subject investigated by phonovibrograms. J Voice 2009, 23(March 2):175-181.
49. Braunschweig T., Flaschka J., Schelhorn-Neise P., Döllinger M. High-speed video analysis of the phonation onset, with an application to the diagnosis of functional dysphonias. Med Eng Phys 2008, 30(January 1):59-66.