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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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)
Ascoli, G.A., De Schutter, E., Kennedy, D.N.: An information science infrastructure for neuroscience. Neuroinformatics 1(1), 1–2 SPR (2003)
Carnevale, N.T., Hines, M.L.: The NEURON Book. Cambridge University Press, Cambridge (2006)
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)
Cooley, J.W., Tukey, J.W.: An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19, 297–301 (1965)
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)
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)
Hartigan, J.A., Wong, M.A.: A k-means clustering algorithm. Applied Statistics 28, 100–108 (1979)
Hines, M.L., Carnevale, N.T.: Expanding NEURON’s repertoire of mechanisms with NMODL. Neural Comput. 12(5), 995–1007 (2000) (review)
Hines, M.L., Carnevale, N.T.: The NEURON simulation environment. Neural Comput. 9(6), 1179–1209 (1997) (review)
Johnson, S.G., Frigo, M.: A modified split-radix FFT with fewer arithmetic operations. IEEE Transactions on Signal Processing 55, 111–119 (2007)
Lytton, W.W.: Neural query system: data-mining from within the neuron simulator. Neuroinformatics 4, 163–176 (2006)
Lytton, W.W., Omurtag, A.: Tonic-clonic transitions in computer simulation. Journal of Clinical Neurophysiology 24, 175–181 (2007)
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)
Sweldens, W.: The lifting scheme: A construction of second generation wavelets. SIAM Journal on Mathematical Analysis 29, 511–546 (1997)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)