Medical Engineering & Physics
Volume 29, Issue 10 , Pages 1119-1131 , December 2007

Systematic performance evaluation of a continuous-scale sleep depth measure

  • Antti Saastamoinen

      Affiliations

    • Pirkanmaa Hospital District, Medical Imaging Centre, Department of Clinical Neurophysiology, P.O. Box 2000, FIN-33521 Tampere, Finland
    • Corresponding Author InformationCorresponding author at: Pirkanmaa Hospital District, Medical Imaging Centre, Department of Clinical Neurophysiology, Teiskontie 35, FIN-33520 Tampere, Finland. Tel.: +358 3 3116 5095; fax: +358 3 3116 4352.
  • ,
  • Eero Huupponen

      Affiliations

    • Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33101 Tampere, Finland
  • ,
  • Alpo Värri

      Affiliations

    • Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33101 Tampere, Finland
  • ,
  • Joel Hasan

      Affiliations

    • Pirkanmaa Hospital District, Medical Imaging Centre, Department of Clinical Neurophysiology, P.O. Box 2000, FIN-33521 Tampere, Finland
  • ,
  • Sari-Leena Himanen

      Affiliations

    • Pirkanmaa Hospital District, Medical Imaging Centre, Department of Clinical Neurophysiology, P.O. Box 2000, FIN-33521 Tampere, Finland

Received 29 November 2005 ,Revised 9 November 2006 ,Accepted 10 November 2006.

References 

  1. Penzel T, Conradt R. Computer based sleep recording and analysis. Sleep Med Rev. 2000;4:131–148
  2. Rechtschaffen A, Kales A. A manual of standardized technology, techniques, and scoring system for sleep stages of human subjects. National Inst of Health Publ 204, US Govt Printing Office; 1968;
  3. Hasan J. Past and future of computer-assisted sleep analysis and drowsiness assessment. J Clin Neurophysiol. 1996;13:295–313
  4. Himanen S-L, Hasan J. Limitations of Rechtscaffen and Kales. Sleep Med Rev. 2000;4:149–167
  5. Penzel T, Stephan K, Kubicki S, Herrmann WM. Integrated sleep analysis, with emphasis on automatic methods. In:  Degen R,  Rodin EA editor. Epilepsy, sleep and sleep deprivation (Epilepsy Res Suppl 2). 2nd ed.. Amsterdam: Elsevier; 1991;p. 177–200
  6. Kemp B. A proposal for computer-based sleep/wake analysis. J Sleep Res. 1993;2:179–185
  7. Hjorth B. EEG analysis based on time domain properties. Electroencephalogr Clin Neurophysiol. 1970;29:306–310
  8. Rezek I, Roberts S. Stochastic complexity measures for physiological signal analysis. IEEE Trans Biomed Eng. 1998;45:1186–1191
  9. Jobert M, Schulz H, Jähnig P, Tismer C, Bes F, Escola H. A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI). Sleep. 1994;17:37–46
  10. Dimpfel W, Hofmann H-C, Schober F, Todorova A. Validation of an EEG-derived spectral frequency index (SFx) for continuous monitoring of sleep depth in humans. Eur J Med Res. 1998;3:453–460
  11. 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. 2001;6:333–344
  12. Mourtazaev MS, Kemp B, Zwinderman AH, Kamphuisen HAC. Age and gender affect different characteristics of slow waves in the sleep EEG. Sleep. 1995;18:557–564
  13. Flexer A, Gruber G, Dorffner G. A reliable probabilistic sleep stager based on a single EEG signal. Artif Intell Med. 2005;33:199–207
  14. Kaplan A, Röschke J, Darkhovsky B, Fell J. Macrostructural EEG characterization based on nonparametric change point segmentation: application to sleep analysis. J Neurosci Meth. 2001;106:81–90
  15. Huupponen E, Värri A, Hasan J, Himanen S-L, Lehtokangs M, Saarinen J. Optimization of sigma amplitude threshold in sleep spindle detection. J Sleep Res. 2000;9:327–334
  16. Huupponen E, Himanen S-L, Hasan J, Värri A. Sleep depth oscillations: an aspect to consider in automatic sleep analysis. J Med Syst. 2003;27:337–345
  17. Huupponen E, Himanen S-L, Hasan J, Värri A. Automatic quantification of light sleep shows differences between apnea patients and healthy subjects. Int J Psychophysiol. 2004;51:223–230
  18. Klösch G, Kemp B, Penzel T, Schlögl A, Rappelsberger P, Trenker E, et al. The SIESTA project polygraphic and clinical database. IEEE Eng Med Biol Mag. 2001;20:51–57
  19. Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J. A simple format for exchange of digitized polygraphic recordings. Electroencephalogr Clin Neurophysiol. 1992;82:391–393
  20. Saramäki T. A class of window functions with nearly minimum sidelobe energy for designing FIR filters. In: Proceedings of the IEEE International Symposium on Circuits and Systems. New York: IEEE; 1989;
  21. Oppenheim AV, Schafer RW. Discrete-time signal processing. Englewood Cliffs, NJ: Prentice-Hall; 1989;
  22. Himanen S-L, Saastamoinen A, Hasan J. Increasing the temporal resolution and stage specificity by visual adaptive scoring (VAS)—a preliminary description. Sleep and Hypnosis. 1999;1:22–28
  23. Himanen S-L. A new visual adaptive scoring system for sleep recordings. Acta Universitatis Tamperensis 769. Academic dissertation. University of Tampere, Finland; 2000.
  24. Saastamoinen A, Himanen S-L, Hasan J. Computer programs for adaptive sleep analysis. In: Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Proceedings of the of the IFMBE, vol. 2. 2002;p. 146–149
  25. Saastamoinen A, Pietilä T, Värri A, Lehtokangas M, Saarinen J. Waveform detection with RBF network—application to automated EEG analysis. Neurocomputing. 1998;20:1–13
  26. Saastamoinen A, Lehtokangas M, Värri A, Saarinen J. Biomedical applications of radial basis function networks. In:  Howlett RJ,  Jain LC editor. Radial basis function networks 2, new advances in design. New York: Physica-Verlag; 2001;p. 215–268
  27. Himanen S-L, Joutsen A, Virkkala J. Visual assessment of selected high amplitude frontopolar slow waves of sleep: differences between healthy subjects and apnea patients. Clin EEG Neurosci. 2004;35:125–131

PII: S1350-4533(06)00231-1

doi: 10.1016/j.medengphy.2006.11.004

Medical Engineering & Physics
Volume 29, Issue 10 , Pages 1119-1131 , December 2007