Abstract
We present a new method to detect seizure onsets
of tonic-clonic epileptic seizures based on surface electromyography
(sEMG) data. The proposed method is generic and based
on a single channel making it ideal for a small detection or
monitoring device. The sEMG signal is high-pass filtered with
a Butterworth filter with a cut-off frequency of 150 Hz. The
number of zero-crossings with a hysteresis of ±50μV is the
only feature extracted. The number of counts in a window of
1 second and the number of windows to make a detection is
tested with a leave-one-out method. On 6 patients the method
performs with a sensitivity of 100%, a median latency of 7.6
seconds and a median false detection rate of 0.04/h.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 33rd Annual International Conference of the IEEE EMBS |
| Publisher | IEEE |
| Publication date | 2011 |
| Pages | 7715-7718 |
| ISBN (Print) | 978-1-4244-4122-8 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Boston, United States Duration: 30 Aug 2011 → 3 Sept 2011 Conference number: 33 https://ieeexplore.ieee.org/xpl/conhome/6067544/proceeding |
Conference
| Conference | 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Number | 33 |
| Country/Territory | United States |
| City | Boston |
| Period | 30/08/2011 → 03/09/2011 |
| Internet address |
Keywords
- Sensitivity
- Conferences
- Training
- Epilepsy
- Muscles
- Feature extraction
- Monitoring
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