Purpose: To develop and validate a wearable ultra-low power prototype
device for ECG-based epileptic seizure detection.
Method: This observational study is a nonrandomized, open, single-site,
clinical test in 10 subjects (30–50 seizures) previously diagnosed with
frequent (>1/week) major epileptic seizures (tonic–clonic, generalized
tonic or clonic) with heart rate changes. A wearable device running a previously
developed algorithm [van Elmpt WJ et al. Seizure 2006;
15(6):366–75] for heart rate based seizure detection was tested at night
during 1–4 weeks per patient. Objectives were the sensitivity, positive
predictive value and technical feasibility. Results were verified by visual
analysis of recorded video and comparison to previously analyzed EEGvideo
Results: In the first 3 patients 100% of major seizures were detected;
however at the cost of many false positives. Reanalysis of the data showed
that optimizing parameter settings of the detection algorithm considerably
improved positive predictive value. Exact results will be presented.
Conclusion: Heart rate–based detection of major seizures by the proposed
wearable sensor system is feasible.
|Conference||conference; 9th ECE; 2010-06-27; 2010-07-01|
|Period||27/06/10 → 1/07/10|