Skip to main content

Computer-Assisted Polysomnography

  • Conference paper
Sleep and Health Risk

Abstract

The computer can serve as an important tool in polysomnography. Contemporary polysomnography is made possible by recent technological advances; polysomnographic studies can be further facilitated and expanded by the judicious application of computers. Computers can collect, store, and manage data, generate reports, serve as labor-saving devices, provide a means of standardization, and automatically generate quantitative and objective data. The “judicious application” implies that if sufficient thought does not go into how the computer is utilized the application may not help, but can instead lead to erroneous data.

This research was partially supported by grants NSF #ICI-8511857 and NS-19996.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. American Thoracic Society (1989) Indications and standards for cardio-pulmonary sleep studies. Am Rev Respir Dis 139: 559–568

    Article  Google Scholar 

  2. Johnson LC, Hansan K, Bickford RG (1976) Effect of flurazepam on sleep spindles and K complexes. Electroencephalogr Clin Neurophysiol 40: 67–72

    Article  PubMed  CAS  Google Scholar 

  3. Karacan I, Orr WC, Roth T, Kramer M, Shurley JT, Thornby JF, Bingham SF, Salis PJ (1978) Establishment and implementation of standardized sleep laboratory data collection and scoring procedures. Psychophysiology 15: 173–179

    Article  PubMed  CAS  Google Scholar 

  4. Principe JC, Smith JR. (1982) Sleep spindle characteristics as a function of age. Sleep 5: 73–84

    PubMed  CAS  Google Scholar 

  5. Silverstein LD, Levy CM (1976) The stability of the sigma sleep spindle. Electroencephalogr Clin Neurophysiol 40: 666–670

    Article  PubMed  CAS  Google Scholar 

  6. Smith JR (1986) Computer analysis of sleep data. In: Lopes de Silva FJ, Storm van Leuwan W, Remond A (eds) Computer analysis of the EEG and other neurophysiological signals, Vol 2. Application in clinical neurophysiology. Elsevier, Amsterdam (Handbook of electroencephalography and clinical neurophysiology, vol 2 )

    Google Scholar 

  7. Smith JR, Funke WF, Yeo WC, Ambuehl RA (1975) Detection of human sleep EEG waveforms. Electroencephalogr Clin Neurophysiol 38: 435–437

    Article  PubMed  CAS  Google Scholar 

  8. Webb WB, Dreblow LM (1982) A modified method for scoring slow wave sleep of older subjects. Sleep 5: 195–199

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smith, J.R. (1991). Computer-Assisted Polysomnography. In: Peter, J.H., Penzel, T., Podszus, T., von Wichert, P. (eds) Sleep and Health Risk. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76034-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-76034-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53083-1

  • Online ISBN: 978-3-642-76034-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics