Performance of Combined Support Vector Machine and Principal Component Analysis in recognizing infant cry with asphyxia

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 6292-6295

  Sahak, R ^a   Mansor, W ^a   Lee, Y K ^a   Yassin, A I M ^a   Zabidi, A ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; INFANT CRY; RBF KERNELS; SVM CLASSIFIERS;

ACCIDENTS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; COMPUTER PROGRAM; CRYING; HUMAN; METHODOLOGY; NEWBORN; NEWBORN HYPOXIA; PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; ASPHYXIA NEONATORUM; CRYING; HUMANS; INFANT, NEWBORN; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE;

EID: 78650820934     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5628084     Document Type: Conference Paper

References (18)

1. O. F. Reyes-Galaviz and C. A. Reyes-Garcia, "A System for the Processing of Infant Cry to Recognize Pathologies in Recently Born Babies with Neural Networks", in 9th Conference Speech and Computer (SPECOM) Saint-Petersburg, Russia, 2004.
2. Orozco J. and Garcia C. A. R., "Detecting Pathologies from Infant Cry Applying Scaled Conjugate Gradient Neural Networks", Proceeding of ESANN, pp. 249 - 354, 2003.
3. Schonweiler, R.- Kaese, S.-Moller, S. Rinscheid, A.- Ptok, M., "Neuronal Networks and Self-organizing Maps: New Computer Techniques in the Acoustic Evaluation of the Infant Cry", Int. J. Pediatr. Otorhinolaryngol., 38 pp. 1 - 11, 1996.
4. M. Petroni, A. S. Malowany, C. C. Johnston, B. J. Stevens, "Classification of Infant Cry Vocalizations using Artificial Neural Networks", IEEE Conference, 1995.
5. Schonweiler, R.- Kaese, S.-Moller, S. Rinscheid, A.-Ptok, M., "Classification of Spectrographic Voice Patterns Using Selforganizing Neuronal Networks (Kohonen Maps) in the Evaluation of the Infant Cry with and without Time-delayed Feedback", Int. J. Pediatr. Otorhinolaryngol., 38/2 p. 181, 1996.
6. T. S. Furey, "Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data", J. Bioinformatics, vol. 16(10), pp. 906- 914, 2000.
7. S. Hongzong and W. Tao, "Support Vector Machines Classification for Discriminating Coronary Heart Disease Patients from Noncoronary Heart Disease", West Indian Medicine J., vol. 56(5), p. 451, 2007.
8. T. Zhou, J. Weng, X. Sun, and Z. Lu, "Support Vector Machines for Classification of Meiotic Recombination Hotspots and Coldspots in Saccharomyces Cerevisiae Based on Codon Composition", BMC Bioinformatics, vol. 7(223), 2006.
9. J. Kan, W. Li, and K. Gao, "Use of Support Vector Machines in Recognition of Fork Branches of the Standing Trees", in 2nd IEEE Conference on Industrial Electronics and Applications, 2007.
10. S. Brahnam, C. F. Chuang, F. Y. Shih and M. R. Slack, "SVM Classification of Neonatal Facial Images of Pain", WILF 2005, LNAI 3849, pp. 121-128, 2006.
11. H. Fenglei and W. Bingxi, "Text-Independent Speaker Verification Using Speaker Clustering and Support Vector Machines", in Proceedings of ICSP, 2002.
12. M. Schmidt and H. Gish, "Speaker Identification via Support Vector Classifiers", in IEEE, 1996.
13. E. Csoms, K. Hberger, L. S.-Sarkadi, "Principal Component Analysis of Biogenic Amines and Polyphenols in Hungarian Wines", in Journal of Agricultural and Food Chemistry, 2002.
14. K. Kim, "Face Recognition Using Principle Component Analysis",Department of Computer Science, University of Maryland, College Park, USA, unpublished paper.
15. S. Haykin, "Neural Networks: A Comprehensive Foundation", 2nd ed. India: Pearson Education Inc., 1999.
16. O.F. Reyes-Galaviz, [Online database], 2009 July 30, Available at http://ingenieria.uatx.mx/~orionfrg/cry/
17. S. E. B.- Montiel and C. A. R.- Garcia, "Fuzzy Support Vector Machines for Automatic Infant Cry Recognition", Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Berlin, pp. 876-881, 2006.
18. C. Li, P. R. Kulkarni, L. Liu, B. Prabhakaran and L. Khan, "Realtime Classification of Multivariate Motion Data Using Support Vector Machines", Springer-Verlag New York, Inc, vol.10(2), pp. 163-183, 2006.