Nothing Special   »   [go: up one dir, main page]

Skip to main content

Data-Mining of Time-Domain Features from Neural Extracellular Field Data

  • Chapter
Computational Intelligence in Biomedicine and Bioinformatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 151))

Summary

Spike-wave and polyspike-wave activity in electroencephalogram are waveforms typical of certain epileptic states. Automated detection of such patterns would be desirable for automated seizure detection in both experimental and clinical venues. We have developed a time-domain algorithm denominated SPUD to facilitate data-mining of large electroencephalogram/electrocorticogram datasets to identify the occurrence of spike-wave or other activity patterns. This algorithm feeds into our enhanced Neural Query System [2, 12] database application to facilitate data-mining. We have used our algorithm to identify and classify activity from both simulated and experimental seizures.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Adeli, H., Zhou, Z., Dadmehr, N.: Analysis of EEG records in an epileptic patient using wavelet transform. J. Neurosci Methods 123(1), 69–87 (2003)

    Article  Google Scholar 

  2. Ascoli, G.A., De Schutter, E., Kennedy, D.N.: An information science infrastructure for neuroscience. Neuroinformatics 1(1), 1–2 SPR (2003)

    Article  Google Scholar 

  3. Carnevale, N.T., Hines, M.L.: The NEURON Book. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  4. Chamberlin, D.D., Boyce, R.F.: SEQUEL: A structured English query language, International Conference on Management of Data. In: Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control, Ann Arbor, Michigan, pp. 249–264 (1974)

    Google Scholar 

  5. Cooley, J.W., Tukey, J.W.: An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19, 297–301 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  6. Dunn, J.C.: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics 3, 32–57 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  7. Golarai, G., Cavazos, J.E., Sutula, T.P.: Activation of the dentate gyrus by pentylenetetrazol evoked seizures induces mossy fiber synaptic reorganization. Brain Res. 593, 257–264 (1992)

    Article  Google Scholar 

  8. Hartigan, J.A., Wong, M.A.: A k-means clustering algorithm. Applied Statistics 28, 100–108 (1979)

    Article  MATH  Google Scholar 

  9. Hines, M.L., Carnevale, N.T.: Expanding NEURON’s repertoire of mechanisms with NMODL. Neural Comput. 12(5), 995–1007 (2000) (review)

    Article  Google Scholar 

  10. Hines, M.L., Carnevale, N.T.: The NEURON simulation environment. Neural Comput. 9(6), 1179–1209 (1997) (review)

    Article  Google Scholar 

  11. Johnson, S.G., Frigo, M.: A modified split-radix FFT with fewer arithmetic operations. IEEE Transactions on Signal Processing 55, 111–119 (2007)

    Article  MathSciNet  Google Scholar 

  12. Lytton, W.W.: Neural query system: data-mining from within the neuron simulator. Neuroinformatics 4, 163–176 (2006)

    Article  Google Scholar 

  13. Lytton, W.W., Omurtag, A.: Tonic-clonic transitions in computer simulation. Journal of Clinical Neurophysiology 24, 175–181 (2007)

    Article  Google Scholar 

  14. MacQueen, J.B.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297. University of California Press, Berkeley (1967)

    Google Scholar 

  15. Sweldens, W.: The lifting scheme: A construction of second generation wavelets. SIAM Journal on Mathematical Analysis 29, 511–546 (1997)

    Article  MathSciNet  Google Scholar 

  16. Uhlrich, D.J., Manning, K.A., O’Laughlin, M.L., Lytton, W.W.: Photic-Induced Sensitization: Acquisition of an Augmenting Spike-Wave Response in the Adult Rat Through Repeated Strobe Exposure. Journal of Neurophysiology 94, 3925–3937 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Neymotin, S., Uhlrich, D.J., Manning, K.A., Lytton, W.W. (2008). Data-Mining of Time-Domain Features from Neural Extracellular Field Data. In: Smolinski, T.G., Milanova, M.G., Hassanien, AE. (eds) Computational Intelligence in Biomedicine and Bioinformatics. Studies in Computational Intelligence, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70778-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-70778-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70776-9

  • Online ISBN: 978-3-540-70778-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics