Brain dynamics based automated epileptic seizure detection

V. Venkataraman; I. Vlachos; A. Faith; B. Krishnan; K. Tsakalis; D. Treiman; L. Iasemidis

doi:10.1109/EMBC.2014.6943748

Brain dynamics based automated epileptic seizure detection

V. Venkataraman, I. Vlachos, A. Faith, B. Krishnan, K. Tsakalis, D. Treiman, L. Iasemidis

Research output: Contribution to journal › Article › peer-review

Abstract

We developed and tested a seizure detection algorithm based on two measures of nonlinear and linear dynamics, that is, the adaptive short-term maximum Lyapunov exponent (ASTLmax) and the adaptive Teager energy (ATE). The algorithm was tested on long-term (0.5-11.7 days) continuous EEG recordings from five patients (3 with intracranial and 2 with scalp EEG) with a total of 56 seizures, producing a mean sensitivity of 91% and mean specificity of 0.14 false positives per hour. The developed seizure detection algorithm is data-adaptive, training-free, and patient-independent.

Original language	English (US)
Pages (from-to)	946-949
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume	2014
DOIs	https://doi.org/10.1109/EMBC.2014.6943748
State	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2014.6943748

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Venkataraman, V., Vlachos, I., Faith, A., Krishnan, B., Tsakalis, K., Treiman, D., & Iasemidis, L. (2014). Brain dynamics based automated epileptic seizure detection. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2014, 946-949. https://doi.org/10.1109/EMBC.2014.6943748

Brain dynamics based automated epileptic seizure detection. / Venkataraman, V.; Vlachos, I.; Faith, A. et al.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2014, 2014, p. 946-949.

Research output: Contribution to journal › Article › peer-review

Venkataraman, V, Vlachos, I, Faith, A, Krishnan, B, Tsakalis, K, Treiman, D & Iasemidis, L 2014, 'Brain dynamics based automated epileptic seizure detection', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2014, pp. 946-949. https://doi.org/10.1109/EMBC.2014.6943748

Venkataraman V, Vlachos I, Faith A, Krishnan B, Tsakalis K, Treiman D et al. Brain dynamics based automated epileptic seizure detection. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2014;2014:946-949. doi: 10.1109/EMBC.2014.6943748

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Brain dynamics based automated epileptic seizure detection

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