Abstract
Background: the currently used non-invasive seizure detection methods are not reliable. Muscle fibers
are directly connected to the nerves, whereby electric signals are generated during activity. Therefore,
an alarm system on electromyography (EMG) signals is a theoretical possibility.
Objective: to show whether medical signal processing of EMG data is feasible for detection of
epileptic seizures.
Methods: EMG signals during generalised seizures were recorded from 3 patients (with 20 seizures in
total). Two possible medical signal processing algorithms were tested. The first algorithm was based on
the amplitude of the signal. The other algorithm was based on information of the signal in the
frequency domain, and it focused on synchronisation of the electrical activity in a single muscle during
the seizure.
Results: The amplitude-based algorithm reliably detected seizures in 2 of the patients, while the
frequency-based algorithm was efficient for detecting the seizures in the third patient.
Conclusion: Our results suggest that EMG signals could be used to develop an automatic seizuredetection
system. However, different patients might require different types of algorithms /approaches.
| Original language | English |
|---|---|
| Publication date | 2009 |
| Publication status | Published - 2009 |
| Event | Danish Epilepsy Society & the Danish Society of Clinical Neurophysiology : 2009 Annual meeting, (Foredragskonkurrence) - Odense Duration: 1 Jan 2009 → … Conference number: 1 |
Conference
| Conference | Danish Epilepsy Society & the Danish Society of Clinical Neurophysiology : 2009 Annual meeting, (Foredragskonkurrence) |
|---|---|
| Number | 1 |
| City | Odense |
| Period | 01/01/2009 → … |