Techniques for noise removal from EEG, EOG and air flow signals in sleep patients

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5467, Issue , 2004, Pages 89-97

  Berryman, Matthew J ^a   Messer, Sheila ^a,b   Allison, Andrew ^a   Abbott, Derek ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b TEXAS INSTRUMENTS   (United States)

Author keywords

Air flow; Blind source signal separation; EEG; EOG; Sleep

Indexed keywords

AIR FLOW; BLIND SOURCE SIGNAL SEPARATION; ELECTROOCULOGRAPH (EOG); EXTRANEOUS SIGNALS;

BLIND SOURCE SEPARATION; DATA ACQUISITION; ELECTROENCEPHALOGRAPHY; PATIENT MONITORING; SIGNAL THEORY; SLEEP RESEARCH;

SPURIOUS SIGNAL NOISE;

EID: 4344607002     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.546637     Document Type: Conference Paper

References (20)

1. K. Kaemingk, A. Pasvogel, J. Goodwin, M. S.A., F. Martinez, P. Enright, G. Rosen, W. Morgan, R. Fregosi, and S. Quan, "Learning in children and sleep disordered breathing: findings of the Tucson children's assessment of sleep apnea (TuCASA) prospective cohort study," Journal of the International Neuropsychological Society 9, pp. 1016-1026, 2003.
2. E. Sforza, S. Grandin, C. Jouny, T. Rochat, and V. Ibanez, "Is waking electroencephalographic activity a predictor of daytime sleepiness in sleep-related breathing disorders?," European Respiratory Journal 19, pp. 645-652, 2002.
3. A. Muzur, E. Pace-Schott, and J. Hobson, "The prefrontal cortex in sleep," Trends in Cognitive Sciences 6, pp. 475-481, 2002.
4. P. Anderer, G. Gruber, G. Klösch, W. Klimesch, B. Saletu, and J. Zeitlhofer, "Sleep and memory consolidation: the role of electrophysiological neuroimaging," Somnologie 6, pp. 54-62, 2002.
5. K. Brown, R. Platt, and J. Bates, "Automated analysis of paradoxical ribcage motion during sleep in infants," Pediatric Pulmonology 33, pp. 33-46, 2002.
6. G. Prisk, J. Hammer, and C. Newth, "Techniques for measurement of thoracoabdominal asynchrony," Pediatric Pulmonology 34, pp. 462-472, 2002.
7. V. Menon and D. Agrawal, "Physics of quiet and suffocative breathing," American Journal of Physics 71, pp. 474-478, 2003.
8. M. Teplan, "Fundamentals of eeg measurement," Measurement Science Review 2, pp. 1-11, 2002.
9. I. Gorodnitsky and A. Belouchrani, "Joint cumulant and correlation based signal separation with application to EEG data analysis," in ICA 2001, 2001.
10. A. Belouchrani, K. Meraim, J.-F. Cardoso, and E. Moulines, "A blind source separation technique using second order statistics," IEEE Trans. on Sig. Proc. 45, pp. 434-444, Feb. 1997.
11. M. Matalgah and J. Knopp, "Improved noise stability multiresolution filters based on a class of wavelets," in Proceedings of the 37th Midwest Symposium on Circuits and Systems: Vol 2., pp. 817-820, IEEE, Aug. 1994.
12. O. Bertrand, J. Bohorquez, and J. Pernier, "Time-frequency digital filtering based on an invertable wavelet transform: an application to evoked potentials," IEEE Transactions on Biomedical Engineering 41, pp. 77-88, Jan. 1994.
13. L. M. Lim, M. Akay, and J. A. Daubenspeck, "Identifying respiratory-related evoked potentials," IEEE Engineering in Medicine and Biology 14, pp. 174-178, Mar.Apr. 1995.
14. J.-F. Cardoso, "High-order contrasts for independent component analysis," Neural Computation 11, pp. 157-192, 1999.
15. J.-F. Cardoso and A. Souloumiac, "An efficient technique for blind separation of complex source," in Proc. IEEE Sig. Proc. Workshop on Higher-Order Stat., pp. 275-279, 1993.
16. S. G. Mallat, A Wavelet Tour of Signal Processing, Academic Press, 1999.
17. S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence 11, pp. 674-693, July 1989.
18. A. Kraskov, H. Stögbauer, and P. Grassberger, "Estimating mutual information," ArXiv cond-mat/0305641, May 2003.
19. S. G. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Transactions on Signal Processing 41, pp. 3397-3415, Dec. 1993.
20. S. Krishnan and R. M. Rangayyan, "Automatic denoising of knee-joint vibration signals using adaptive time-frequency representations," Medical and Biological Engineering and Computation 38, pp. 2-8, Jan. 2000.