Abstract
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 language | English |
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Journal | I E E E Transactions on Biomedical Engineering |
Volume | 59 |
Issue number | 2 |
Pages (from-to) | 579-585 |
ISSN | 0018-9294 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- Tonic–clonic
- Epilepsy
- Surface electromyography (sEMG)
- Seizure detection