Automatic quantification of light sleep shows differences between apnea patients and healthy subjects

International Journal of Psychophysiology

Volumn 51, Issue 3, 2004, Pages 223-230

  Huupponen, Eero ^a   Himanen, Sari Leena ^b   Hasan, Joel ^b,c   Värri, Alpo ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b TAMPERE UNIVERSITY HOSPITAL   (Finland)

^c FINNISH INSTITUTE OF OCCUPATIONAL HEALTH   (Finland)

Author keywords

Apnea; Automatic analysis; Sleep depth; Sleep EEG

Indexed keywords

ADULT; ARTICLE; AUTOANALYSIS; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; MALE; NIGHT SLEEP; RECORDING; SLEEP APNEA SYNDROME; SLEEP DISORDER; STATISTICAL SIGNIFICANCE;

EID: 1242316219     PISSN: 01678760     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpsycho.2003.09.007     Document Type: Article

References (24)

1. Dement W.C., Kleitman N. Cyclic variations in EEG during sleep and their relation to eye movements, body motility and dreaming. Electroencephalogr. Clin. Neurophysiol. 9:1957;673-690.
2. Guilleminault C., Do Kim Y., Chowdhuri S., et al. Sleep and daytime sleepiness in upper airway resistance syndrome compared to obstructive sleep apnea syndrome. Eur. Respir. J. 17:2001;838-847.
3. Hammer N., Todorova A., Hofmann H.C., Schober F., Vonderheid-Guth B., Dimpfel W. Description of healthy and disturbed sleep by means of the spectral frequency index (SFx) - a retrospective analysis. Eur. J. Med. Res. 6:2001;333-344.
4. Hasan J. Past and future of computer-assisted sleep analysis and drowsiness assessment. J. Clin. Neurophysiol. 13:(4):1996;295-313.
5. Heinzer R., Gaudreau H., Decary A., Sforza E. Slow-wave activity in sleep apnea patients before and after continuous positive airway pressure treatment. Chest. 119:2001;1807-1813.
6. Himanen, S.-L., 2000. A new visual adaptive scoring system for sleep recordings. Development and application to the multiple sleep latency test. Doctoral thesis. Acta Universitatis Tamperensis, vol. 768, pp. 1-47.
7. Himanen S.-L., Virkkala J., Huupponen E., Hasan J. Spindle frequency remains slow in sleep apnea patients throughout the night. Sleep Med. 4:2003;361-366.
8. Huupponen E., Värri A., Hasan J., Himanen S.-L., Lehtokangas M., Saarinen J. Optimization of sigma amplitude threshold in sleep spindle detection. J. Sleep Res. 9:(4):2000;327-334.
9. Huupponen, E., Himanen, S.-L., Värri, A., Hasan, J., Lehtokangas, M., Saarinen, J., 2001. Improving reliability in sleep spindle detection, Proceedings of the International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2001, July 3-6, Rhodes, Greece, pp. 16-20.
10. The International Classification of Sleep Disorders, 1997. Diagnostic and Coding Manual. American Sleep Disorders Association, Rochester, MN, pp. 28-38.
11. Isono S., Remmers J.E. Anatomy and physiology of upper airway obstruction. Kryger M.H., Roth T., Dement W.C. Principles and Practice of Sleep Medicine. 1994;642-656 WB Saunders Co, Philadelphia.
12. Kemp B. A proposal for computer-based sleep/wake analysis. J. Sleep Res. 2:1993;179-185.
13. Klösh G., Kemp B., Penzel T., et al. The SIESTA project polygraphic and clinical database. IEEE Eng. Med. Biol. 20:(3):2001;51-57.
14. Koivuluoma, M., Huupponen, E., Värri, A., Olejarczyk, E., Klonowski, W., 2001. Comparison of some linear and nonlinear methods in the quantification of NREM sleep process, Proceedings of the International Symposium on Nonlinear Theory and its Applications, NOLTA-2001, October 28-November 1, Miyagi, Japan, pp. 411-414.
15. Penzel T., Stephan K., Kubicki S., Herrmann W.M. Integrated sleep analysis, with emphasis on automatic methods. Degen R., Rodin E.A. Epilepsy, Sleep and Sleep Deprivation. second ed. 1991;177-200 Elsevier Science Publishers BV.
16. Penzel T., Bunde A., Heitmann J., Kantelhardt J.W., Peter J.H., Voight K. Sleep stage-dependent heart rate variability in patients with obstructive sleep apnea. Comp. Cardiol. 26:1999;249-252.
17. Penzel T., Conradt R. Computer based sleep recording and analysis. Sleep Med. Rev. 4:(2):2000;131-148.
18. Penzel T., McNames J., deChazal P., Raymond B., Murray A., Moody G. Systematic comparison of different algorithms for apnea detection based on the electrocardiogram recordings. Med. Biol. Eng. Comp. 40:2002;402-407.
19. Rechtshaffen, A., Kales, A., 1968. A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. US Public Health Service, US Government Printing Office, Washington, DC.
20. Rezek I.A., Roberts S.J. Stochastic complexity measures for physiological signal processing. IEEE Trans. Biomed. Eng. 45:(9):1998;1186-1191.
21. Saramäki, T., 1989. A class of window functions with nearly minimum sidelobe energy for designing FIR filters, Proc. IEEE Int. Symp. Circ. Syst., vol. 1., Portland, Oregon, pp. 359-362.
22. Terzano M.G., Parrino L., Boselli M., et al. Polysomnographic analysis of arousal responses in obstructive sleep apnea syndrome by means of the cyclic alternating pattern. J. Clin. Neurophysiol. 13:1996;145-155.
23. Zeitlhofer J., Gruber G., Anderer P., Asenbaum S., Schimicek P., Saletu B. Topographic distribution of sleep spindles in young healthy subjects. J. Sleep Res. 6:(3):1997;149-155.
24. Zygierewicz J., Blinowska K.J., Durka P.J., Szelenberger W., Niemcewicz S., Androsiuk W. High resolution study of sleep spindles. Clin. Neurophysiol. 110:1999;2136-2147.