Epileptic Seizure Detection using Bipolar Singular Value Decomposition

Mojtaba Bandarabadi, Jalil Rasekhi, Cesar A. Teixeira, António Dourado

2015

Abstract

We propose a robust method for automated detection of epileptic seizures using intracranial electroencephalogram (iEEG) recordings with two electrodes. The state-of-the-art seizure detection methods suffer from high number of false detections, even when designed to be patient-specific. The solution reported here aims to achieve very low false detection rate, while providing a high sensitivity. Two adjacent iEEG recordings are subtracted from each other to make the bipolar iEEG signal. The values achieved from singular value decomposition (SVD) of the bipolar iEEG signal are used as measure. A threshold is subsequently applied on the measure. Results indicate robustness of the proposed measure for seizure detection. The method is applied on 5 invasive recordings containing 54 seizures in 780 hours of multichannel iEEG recordings. On average, the results revealed 85.2% sensitivity and a very low false detection rate of 0.02 per hour in long-term continuous iEEG recordings.

References

  1. Aarabi, A., Grebe, R. & Wallois, F. 2007. A multistage knowledge-based system for EEG seizure detection in newborn infants. Clinical Neurophysiology, 118(12), pp 2781-2797.
  2. Acharya, U. R., Sree, S. V. & Suri, J. S. 2011. Automatic detection of epileptic EEG signals using higher order cumulant features. Int J Neural Syst, 21(5), pp 403-14.
  3. Adeli, H., Ghosh-Dastidar, S. & Dadmehr, N. 2007. A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans Biomed Eng, 54(2), pp 205-11.
  4. Bandarabadi, M., Karami-Mollaei, M., Afzalian, A. & Ghasemi, J. 2010. ECG Denoising Using Singular Value Decomposition. Australian Journal of Basic and Applied Sciences, 4(7), pp 2109-2113.
  5. Bandarabadi, M., Rasekhi, J., Teixeira, C. A. & Dourado, A. 2014a. Sub-band Mean Phase Coherence for Automated Epileptic Seizure Detection. In: Zhang, Y.- T. (ed.) The International Conference on Health Informatics. Springer International Publishing.
  6. Bandarabadi, M., Teixeira, C. A., Netoff, T. I., Parhi, K. K. & Dourado, A. Robust and low complexity algorithms for seizure detection. Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 26-30 Aug. 2014 2014b. 4447-4450.
  7. Bandarabadi, M., Teixeira, C. A., Rasekhi, J. & Dourado, A. 2014c. Epileptic Seizure Prediction Using Relative Spectral Power Features. Clinical Neurophysiology, 0), pp.
  8. Baranov-Krylov, I. N. & Shuvaev, V. T. 2005. Effects of selective visual attention in the parietal and temporal areas of the human cortex using evoked potential data. Neuroscience and Behavioral Physiology, 35(2), pp 159-164.
  9. Hassanpour, H., Mesbah, M. & Boashash, B. 2004. Timefrequency feature extraction of newborn EEG seizure using SVD-based techniques. Eurasip Journal on Applied Signal Processing, 2004(16), pp 2544-2554.
  10. Kharbouch, A., Shoeb, A., Guttag, J. & Cash, S. S. 2011. An algorithm for seizure onset detection using intracranial EEG. Epilepsy & Behavior, 22, Supplement 1(0), pp S29-S35.
  11. Klatt, J., Feldwisch-Drentrup, H., Ihle, M., Navarro, V., Neufang, M., Teixeira, C., Adam, C., Valderrama, M., Alvarado-Rojas, C., Witon, A., Le Van Quyen, M., Sales, F., Dourado, A., Timmer, J., Schulze-Bonhage, A. & Schelter, B. 2012. The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients. Epilepsia, 53(9), pp 1669-1676.
  12. Meier, R., Dittrich, H., Schulze-Bonhage, A. & Aertsen, A. 2008. Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns. Journal of Clinical Neurophysiology, 25(3), pp 119-31.
  13. Nunez, P. L., Srinivasan, R., Westdorp, A. F., Wijesinghe, R. S., Tucker, D. M., Silberstein, R. B. & Cadusch, P. J. 1997. EEG coherency: I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalography and Clinical Neurophysiology, 103(5), pp 499-515.
  14. Rho, J. M., Sankar, R. & Stafstrom, C. E. 2010. Epilepsy: Mechanisms, Models, and Translational Perspectives: CRC Press/Taylor & Francis Group.
  15. Schindler, K., Elger, C. E. & Lehnertz, K. 2007a. Increasing synchronization may promote seizure termination: Evidence from status epilepticus. Clinical Neurophysiology, 118(9), pp 1955-1968.
  16. Schindler, K., Leung, H., Elger, C. E. & Lehnertz, K. 2007b. Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG. Brain, 130(1), pp 65-77.
  17. Sharma, P., Khan, Y. U., Farooq, O., Tripathi, M. & Adeli, H. 2014. A Wavelet-Statistical Features Approach for Nonconvulsive Seizure Detection. Clinical EEG and Neuroscience, 45(4), pp 274-284.
  18. Shoeb, A., Edwards, H., Connolly, J., Bourgeois, B., Ted Treves, S. & Guttag, J. 2004. Patient-specific seizure onset detection. Epilepsy & Behavior, 5(4), pp 483- 498.
  19. Srinivasan, R., Nunez, P., Tucker, D., Silberstein, R. & Cadusch, P. 1996. Spatial sampling and filtering of EEG with spline Laplacians to estimate cortical potentials. Brain Topography, 8(4), pp 355-366.
  20. Tang, Y., Chorlian, D. B., Rangaswamy, M., Porjesz, B., Bauer, L., Kuperman, S., O'Connor, S., Rohrbaugh, J., Schuckit, M., Stimus, A. & Begleiter, H. 2007. Genetic influences on bipolar EEG power spectra. International Journal of Psychophysiology, 65(1), pp 2-9.
  21. Varghese, G. I., Purcaro, M. J., Motelow, J. E., Enev, M., McNally, K. A., Levin, A. R., Hirsch, L. J., Tikofsky, R., Paige, A. L., Zubal, I. G., Spencer, S. S. & Blumenfeld, H. 2009. Clinical use of ictal SPECT in secondarily generalized tonic-clonic seizures. Brain, 132(8), pp 2102-2113.
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Paper Citation


in Harvard Style

Bandarabadi M., Rasekhi J., A. Teixeira C. and Dourado A. (2015). Epileptic Seizure Detection using Bipolar Singular Value Decomposition . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 178-183. DOI: 10.5220/0005193401780183


in Bibtex Style

@conference{biosignals15,
author={Mojtaba Bandarabadi and Jalil Rasekhi and Cesar A. Teixeira and António Dourado},
title={Epileptic Seizure Detection using Bipolar Singular Value Decomposition},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005193401780183},
isbn={978-989-758-069-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Epileptic Seizure Detection using Bipolar Singular Value Decomposition
SN - 978-989-758-069-7
AU - Bandarabadi M.
AU - Rasekhi J.
AU - A. Teixeira C.
AU - Dourado A.
PY - 2015
SP - 178
EP - 183
DO - 10.5220/0005193401780183