Objective auscultation for traditional Chinese medical diagnosis using novel acoustic parameters

Computer Methods and Programs in Biomedicine

Volumn 62, Issue 2, 2000, Pages 99-107

  Chiu, Chuang Chien ^a   Chang, Hen Hong ^b   Yang, Chung Hsien ^c  

^a FENG CHIA UNIVERSITY   (Taiwan)

^b TAIPEI CITY HOSPITAL   (Taiwan)

^c CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Auscultation; Traditional Chinese medical diagnosis; Voice

Indexed keywords

NATURAL FREQUENCIES; SPEECH;

AUSCULTATION; TRADITIONAL MEDICAL DIAGNOSIS;

DIAGNOSIS;

ADULT; ARTICLE; AUSCULTATION; CHINESE MEDICINE; CLASSIFICATION; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; METHODOLOGY; PARAMETER; SPEECH; VOICE;

ACOUSTICS; ADULT; ARTHRITIS, RHEUMATOID; AUSCULTATION; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; LUPUS ERYTHEMATOSUS, SYSTEMIC; MALE; MATHEMATICAL COMPUTING; MEDICINE, CHINESE TRADITIONAL; SJOGREN'S SYNDROME; VOICE QUALITY;

EID: 0034646851     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(00)00055-9     Document Type: Article

References (13)

1. T.T. Deng, Basic theory of traditional Chinese medicine, Diagnostics of Chinese Medicine, Chih-Yin Publishing Company, Taipei, Taiwan, 1993, pp. 5-11.
2. E. Rontal, M. Rontal, M.I. Rolnick, Objective evaluation of vocal pathology using voice spectrography, in: R.J. Baken; R.G. Daniloff (Eds.), Readings in Clinical Spectrography of Speech, Singular Publishing Group, Inc., San Diego, CA, 1991, pp. 554-563.
3. N. Wiseman, Y. Feng, A Practical Dictionary of Chinese Medicine, Paradigm Publications, Brookline, Massachusetts, 1998, p. 486.
4. Hemler R.J.B., Wieneke G.H., Dejonckere P.H. The effect of relative humidity of inhaled air on acoustic parameters of voice in normal subjects. J. Voice. 11:1997;295-300.
5. C.H. Horng, The principles and methods of diagnostics, The Illustrations of Chinese Medicine, Lead Press, Taipei, Taiwan, 1993 (Chapter 4).
6. L.R. Rabiner, M.R. Sambur, An algorithm for determining the endpoints of isolated utterances, Bell Syst. Tech. J. 54 (1975) 297-315.
7. C.C. Chiu, The mechatronics system: graphical user interface design, Data Acquisition System - Theory and Applications, Litz Publishing Company, Taipei, Taiwan, 1997, pp. 39-166.
8. J.R. Deller, Jr., J.G. Proakis, J.H.L. Hansen, Example short-term features and applications, Discrete-Time Processing of Speech Signals, Macmillan, New York, 1993, pp. 236-262.
9. D. O'Shaughnessy, Speech production and acoustic-phonetics, Speech Communication, Human and Machine, Addison-Wesley, Reading, Massachusetts, 1987 (Chapter 3).
10. L.R. Rabiner, B.H. Juang, The speech signal: production, perception, and acoustic-phonetic characterization, Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, NJ, 1993 (Chapter 2).
11. B.S. Atal, L.S. Hanauer, Speech analysis and synthesis by linear prediction of the speech wave, J. Acoust. Soc. Am. 50 (1971) 637-655.
12. J.D. Markel, Digital inverse filtering: a new tool for formant trajectory estimation, IEEE Trans. Audio Elec. 20 (1972) 129-137.
13. M. Bland, Logistic regression, An Introduction to Medical Statistics, Oxford University Press, 1995, pp. 317-320.