Robust and low complexity algorithms for seizure detection

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 4447-4450

  Bandarabadi, Mojtaba ^a   Teixeira, Cesar A ^a   Netoff, Theoden I ^b   Parhi, Keshab K ^b   Dourado, Antonio ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

bipolar analysis; power spectral density; Seizure detection

Indexed keywords

POWER SPECTRAL DENSITY; SPECTRAL DENSITY;

BIPOLAR ANALYSIS; DETECTION LATENCY; EPILEPTIC SEIZURES; LOW COMPLEXITY ALGORITHM; NUMBER OF FALSE ALARMS; OPTIMAL THRESHOLD; PARTIAL EPILEPSY; SEIZURE DETECTION;

COMPUTATIONAL COMPLEXITY;

ADOLESCENT; ADULT; ALGORITHM; BRAIN; CHILD; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACTUAL DATABASE; FEMALE; HUMAN; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; ALGORITHMS; BRAIN; CHILD; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; FEMALE; HUMANS; SENSITIVITY AND SPECIFICITY;

EID: 84929501245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944611     Document Type: Conference Paper

References (16)

1. A. Shoeb, T. Pang, J. V. Guttag, and S. C. Schachter, "Vagus Nerve Stimulation Triggered by Machine Learning Based Seizure Detection," in Epilepsy, ed: CRC Press, 2011, pp. 385-395.
2. M. Bandarabadi, C. A. Teixeira, J. Rasekhi, and A. Dourado, "Epileptic Seizure Prediction Using Relative Spectral Power Features," Clinical Neurophysiology, 2014.
3. M. E. Saab and J. Gotman, "A system to detect the onset of epileptic seizures in scalp EEG," Clinical Neurophysiology, Vol. 116, pp. 427-442, 2// 2005.
4. R. Meier, H. Dittrich, A. Schulze-Bonhage, and A. Aertsen, "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, Vol. 25, pp. 119-31, Jun 2008.
5. A. Shoeb, A. Kharbouch, J. Soegaard, S. Schachter, and J. Guttag, "A machine-learning algorithm for detecting seizure termination in scalp EEG," Epilepsy & Behavior, Vol. 22, Supplement 1, pp. S36-S43, 12// 2011.
6. Y. S. Park, T. I. Netoff, Y. Xiaofeng, and K. K. Parhi, "Seizure detection on/off system using rats' ECoG," in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012, pp. 4688-4691.
7. J. Gotman, "Automatic recognition of epileptic seizures in the EEG," Electroencephalography and Clinical Neurophysiology, Vol. 54, pp. 530-540, 11// 1982.
8. S. B. Wilson, "Algorithm architectures for patient dependent seizure detection," Clinical Neurophysiology, Vol. 117, pp. 1204-1216, 6// 2006.
9. H. Hassanpour, M. Mesbah, and B. Boashash, "Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-Based Techniques," EURASIP Journal on Advances in Signal Processing, Vol. 2004, p. 898124, 2004.
10. G. I. Varghese, M. J. Purcaro, J. E. Motelow, M. Enev, K. A. McNally, A. R. Levin, et al., "Clinical use of ictal SPECT in secondarily generalized tonic-clonic seizures," Brain, Vol. 132, pp. 2102-2113, 2009.
11. K. K. Parhi and M. Ayinala, "Low-Complexity Welch Power Spectral Density Computation," IEEE Transactions on Circuits and Systems-I: Regular Papers, Vol. 61, pp. 172-182, Jan 2014.
12. J. Klatt, H. Feldwisch-Drentrup, M. Ihle, V. Navarro, M. Neufang, C. Teixeira, et al., "The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients," Epilepsia, Vol. 53, pp. 1669-1676, 2012.
13. P. D. Welch, "The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging Over Short, Modified Periodograms," IEEE Transactions on Audio and Electroacoustics, Vol. 15, pp. 70-73, 1967.
14. A. Aarabi, R. Grebe, and F. Wallois, "A multistage knowledge-based system for EEG seizure detection in newborn infants," Clinical Neurophysiology, Vol. 118, pp. 2781-2797, 12// 2007.
15. I. N. Baranov-Krylov and V. T. Shuvaev, "Effects of selective visual attention in the parietal and temporal areas of the human cortex using evoked potential data," Neuroscience and Behavioral Physiology, Vol. 35, pp. 159-164, 2005/02/01 2005.
16. M. Bandarabadi, J. Rasekhi, C. A. Teixeira, and A. Dourado, "Subband Mean Phase Coherence for Automated Epileptic Seizure Detection," in The International Conference on Health Informatics. Vol. 42, Y.-T. Zhang, Ed. ed: Springer International Publishing, 2014, pp. 319-322.