Automated Algorithm for Generalized Tonic–Clonic Epileptic Seizure Onset Detection Based on sEMG Zero-Crossing Rate
نویسنده
چکیده
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 analysed from 11 consecutive patients. Our method is based on a high-pass filtering with a cut-off at 150Hz, and monitoring a count of zero-crossings with a hysteresis of ±50μV . Based on data from one sEMG electrode (on the deltoid muscle) we achieved a sensitivity of 100% with a mean detection-latency of 13.7s, while the rate of false detection was limited to 1 false alarm per 24 hours. The overall performance of the presented generic algorithm is adequate for clinical implementation.
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