Skip to main content

Computer Based Psychometric Testing and Well Being Software for Sleep Deprivation Analysis

  • Conference paper
Advanced Methods for Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 457))

Abstract

In clinical practice we often utilize measurements of psychic functions that help to determine diagnosis, disease stage but also favourable or unfavourable influences of the treatment. So called gnostic and executive psychic functions are important for the quality of life. The process of computer aided evaluation of the psychic functions is valuable especially from the reason of its acceleration and reduction in price. Higher degree of standardization seems to be another benefit of the computer aided evaluation. Within cooperation between the University Hospital Ostrava and the VSB Technical University of Ostrava we have developed software for measurement of the psychometric variables. A part of the research is also standardization of the results by a method of pilot testing within a group of healthy volunteers.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Boller, F., Grafman, J. (eds.): Handbook of Neuropsychology, vols. 1-11. Elsevier, Amsterdam (1988/1997)

    Google Scholar 

  2. Ardila, A.: Houston Conference: Need for More Fundamental Knowledge in Neuropsychology. Neuropsychology Review 12(3) (September 2002)

    Google Scholar 

  3. Lewis, L., Mahieux, F., Onen, F., Berr, C., Volteau, et al.: Early Detection of Patients in the Pre Demented Stage of Alzheimers Disease; The Pre-Al Study. The Journal of Nutrition, Health & Aging 13(1), 21 (2009)

    Article  Google Scholar 

  4. Wesnes, K.A.: The value of assessing cognitive function in drug development. Dialogues Clin. Neurosci. 2(3), 183–202 (2000)

    Google Scholar 

  5. Johns, M.W.: A new method for measuring sleepiness: the Epworth sleepiness scale. Sleep 14, 540–545 (1991)

    Google Scholar 

  6. Epworthsleepinessscale.com, The Epworth sleepiness scale (2010), http://epworthsleepinessscale.com/ (cit. January 02, 2011)

  7. Havlík, J., Dvořák, J., Parák, J., Lhotská, L.: Monitoring of Physiological Signs Using Telemonitoring System. In: Böhm, C., Khuri, S., Lhotská, L., Pisanti, N. (eds.) ITBAM 2011. LNCS, vol. 6865, pp. 66–67. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Hudak, R., Michalikova, M., Toth, T., Hutnikova, L., Zivcak, J.: Basics of bionics and biomechanics: an e-learning course on the ulern platform. Lékař a Technika 36(2), 209–213 (2006) ISSN 0301-5491

    Google Scholar 

  9. Kasik, V.: Acceleration of Backtracking Algorithm with FPGA. In: 2010 International Conference on Applied Electronics, Pilsen, Czech Republic, pp. 149–152 (2010) ISBN 978-80-7043-865-7, ISSN 1803-7232

    Google Scholar 

  10. Cerny, M.: Movement Monitoring in the HomeCare System. In: Dössel, O., Schlegel, W.C. (eds.) WC 2009. IFMBE Proceedings, vol. 25/V, pp. 356–357. Springer, Heidelberg (2009)

    Google Scholar 

  11. Krejcar, O., Jirka, J., Janckulik, D.: Use of Mobile Phone as Intelligent Sensor for Sound Input Analysis and Sleep State Detection. Sensors 11(6), 6037–6055 (2011), doi:10.3390/s110606037, ISSN: 1424-8220

    Article  Google Scholar 

  12. Krejcar, O.: Human Computer Interface for Handicapped People Using Virtual Keyboard by Head Motion Detection. In: Katarzyniak, R., Chiu, T.-F., Hong, C.-F., Nguyen, N.T. (eds.) Semantic Methods for Knowledge Management and Communication. SCI, vol. 381, pp. 289–300. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  13. Katarzyniak, R.P., Chiu, T.-F., Hong, C.-F., Nguyen, N.-T. (eds.): Springer, Heidelberg, doi:10.1007/978-3-642-23418-7_25, ISBN 978-3-642-23417-0, ISSN 1860-949X

    Google Scholar 

  14. Krejcar, O., Motalova, L.: Home Care Web Services Evaluation by Stress Testing. In: Yonazi, J.J., Sedoyeka, E., Ariwa, E., El-Qawasmeh, E. (eds.) ICeND 2011, Part 16. CCIS, vol. 171, pp. 238–248. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Brida, P., Machaj, J., Benikovsky, J., Duha, J.: An ExperimentalEvaluation of AGA Algorithm for RSS Positioning in GSM Networks. Elektronika Ir Elektrotechnika 104(8), 113–118 (2010) ISSN 1392-1215

    Google Scholar 

  16. Liou, C.-Y., Cheng, W.-C.: Manifold Construction by Local Neighborhood Preservation. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. LNCS, vol. 4985, pp. 683–692. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Brad, R.: Satellite Image Enhancement by Controlled Statistical Differentiation. In: Innovations and Advances Techniques in systems, Computing Sciences and Software Engineering, International Conference on Systems, Computing Science and Software Engineering, December 03-12. Electr. Network, pp. 32–36 (2007)

    Google Scholar 

  18. Choroś, K.: Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds.) ICCCI 2011, Part II. LNCS, vol. 6923, pp. 415–424. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vilem Novak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Novak, V., Jeziorská, R., Penhaker, M. (2013). Computer Based Psychometric Testing and Well Being Software for Sleep Deprivation Analysis. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34300-1_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34299-8

  • Online ISBN: 978-3-642-34300-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics