Categorization of respiratory signal using ANN and SVM based on feature extraction algorithm

Indian Journal of Science and Technology

Volumn 6, Issue 9, 2013, Pages 5195-5200

  Jayasri, T ^a   Hemalatha, M ^a  

^a SASTRA UNIVERSITY   (India)

Author keywords

Autoregressive model; Back propagation learning algorithm; Burgs method; Feature extraction; Multilayer perceptron; Support vector machine

Indexed keywords

EID: 84885730101     PISSN: 09746846     EISSN: 09745645     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Guyton C, and John E H (1998). Text book of medical Physiology, 9th Edn., Saunders, Company publications.
2. Marinkovic B, Gillete M et al. (2005). FPGA implementation of respiration signal classification using a soft-core processor.
3. Bronzino J D, and Ning T (1989). Automatic classification of respiratory signals, Conference of the IEEE Engineering in Proceedings of the Annual International, vol 2, 669-670.
4. Nepal K, Trinity Coll et al. (2002). Apnea detection and respiration rate estimation through parametric modeling, Proceedings of the IEEE 28th Annual Northeast Bioengineering Conference, 277-278.
5. Braunwald J, Fauci A et al. (2008). Harrisons Principles of Internal Medicine, 17th Edn., Disease of respiratory system, Tata McGraw Hill Publications, 2186-2188.
6. Tortora G J, and Anagnostakos N P (1990). Principles of Anatomy and Physiology, 6th Edn., The respiratory system, New York: Harper-Collins, 874-920.
7. Claerbout J (1997). Burg Spectral Estimation, Available from: http://sepwww.stanford.edu/sep/prof/fgdp/c7/paper_html/node3.html
8. Hayes M H (2002). Statistical Digital Signal Processing and Modelling, Signal modelling, Wileys and Sons, 188-198.
9. Cybenko C (1989). Approximations by superpositions of a sigmoidal Function, Mathematics of Control, Signals and Systems, vol 5(4), 455.
10. A brief history of Neural Networks, Available from: www.dtreg.com
11. Brijeshverma (1997). Fast Training of Multilayer Perceptron, IEEE Transactions on Neural Networks, vol 8(6), 1314-1320.
12. Gunn S R (1998). Support vector machine for classification and regression, Technical Report, University of South-ampton.