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

被引：77

作者：

Conradsen, Isa ^{[1
,2
]}

Beniczky, Sandor ^{[2
,3
]}

Hoppe, Karsten ^{[4
]}

Wolf, Peter ^{[2
]}

Sorensen, Helge B. D. ^{[1
]}

机构：

[1] Tech Univ Denmark, Biomed Dept Elect Engn, DK-2800 Lyngby, Denmark

[2] Danish Epilepsy Ctr, DK-4293 Dianalund, Denmark

[3] Aarhus Univ Hosp, Dept Clin Neurophysiol, DK-8000 Aarhus, Denmark

[4] DELTA, DK-2970 Horsholm, Denmark

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2012年 / 59卷 / 02期

关键词：

Epilepsy; seizure detection; surface electromyography (sEMG); tonic-clonic; SUDDEN UNEXPECTED DEATH; TEMPORAL-LOBE; SUDEP;

D O I：

10.1109/TBME.2011.2178094

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 +/- 50 mu 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.

引用

页码：579 / 585

页数：7

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