Building a Cepstrum-HMM kernel for Apnea identification

Author:

Travieso Carlos M.,Alonso Jesús B.,del Pozo Marcos,Ticay Jaime R.,Castellanos-Dominguez Germán

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference27 articles.

1. Population and occupational screening for obstructive sleep apnea: are we there yet?;Baumel;Am. J. Respir. Crit. Care Med.,1997

2. C. Guilleminault, J. Hoed, M.N. Mitler, Clinical Overview of the Sleep Apnea Syndromes, Eds Sleep Apnea Syndromes, New York, 1985

3. Diagnosis and treatment of sleep apnea syndrome in Japan comparison with other countries;Kimura;Nippon-Kyobu-Shikkan-Gakkai-Zasshi,1995

4. Stimulating rapid research advances via focused competition: the Computers in Cardiology Challenge 2000;Moody;Comput. Cardiol.,2000

5. S.M. Isa, M.I. Fanany, W. Jatmiko, A.M. Arymurthy, Sleep Apnea Detection from ECG signal: analysis on optimal features, principal components, and nonlinearity, in: Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering, pp. 1–4, 2011

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