Automated Algorithm for Generalized Tonic–Clonic Epileptic Seizure Onset Detection Based on sEMG Zero-Crossing Rate

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Patients are not able to call for help during a generalized tonic–clonic epileptic seizure. Our objective was to develop a robust generic algorithm for automatic detection of tonic–clonic seizures, based on surface electromyography (sEMG) signals suitable for a portable device. Twenty-two seizures were analyzed from 11 consecutive patients. Our method is based on a high-pass filtering with a cutoff at 150 Hz, and monitoring a count of zero crossings with a hysteresis of $\pm 50\,\mu \hbox{V}$ . Based on data from one sEMG electrode (on the deltoid muscle), we achieved a sensitivity of 100% with a mean detection latency of 13.7 s, while the rate of false detection was limited to 1 false alarm per 24 h. The overall performance of the presented generic algorithm is adequate for clinical implementation.
Original languageEnglish
JournalIEEE Transactions on Biomedical Engineering
Publication date2012
Volume59
Journal number2
Pages579-585
ISSN00189294
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 6

Keywords

  • Tonic–clonic, Epilepsy, Surface electromyography (sEMG), Seizure detection
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