Heldberg B, Kautz T, Leutheuser H, Hopfengärtner R, Kasper B, Eskofier B (2015)
Publication Type: Conference contribution, Original article
Publication year: 2015
Pages Range: 5593-5596
Event location: Milan, Italy
Epilepsy is a disease of the central nervous system. Nearly 70% of people with epilepsy respond to a proper treatment, but for a successful therapy of epilepsy, physicians need to know if and when seizures occur. The gold standard diagnosis tool video-electroencephalography (vEEG) requires patients to stay at hospital for several days. A wearable sensor system, e.g. a wristband, serving as diagnostic tool or event monitor, would allow unobtrusive ambulatory long-term monitoring while reducing costs. Previous studies showed that seizures with motor symptoms such as generalized tonic-clonic seizures can be detected by measuring the electrodermal activity (EDA) and motion measuring acceleration (ACC). In this study, EDA and ACC from 8 patients were analyzed. In extension to previous studies, different types of seizures, including seizures without motor activity, were taken into account. A hierarchical classification approach was implemented in order to detect different types of epileptic seizures using data from wearable sensors. Using a k-nearest neighbor (kNN) classifier an overall sensitivity of 89.1% and an overall specificity of 93.1% were achieved, for seizures without motor activity the sensitivity was 97.1% and the specificity was 92.9%. The presented method is a first step towards a reliable ambulatory monitoring system for epileptic seizures with and without motor activity.
APA:
Heldberg, B., Kautz, T., Leutheuser, H., Hopfengärtner, R., Kasper, B., & Eskofier, B. (2015). Using wearable sensors for semiology-independent seizure detection - towards ambulatory monitoring of epilepsy. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference (pp. 5593-5596). Milan, Italy.
MLA:
Heldberg, Beeke, et al. "Using wearable sensors for semiology-independent seizure detection - towards ambulatory monitoring of epilepsy." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference, Milan, Italy 2015. 5593-5596.
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