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Title:

Convolutional neural networks for real-time epileptic seizure detection

Document type:
Zeitschriftenaufsatz
Author(s):
Achilles, F.; Tombari, F.; Belagiannis, V.; Loesch, A.M.; Noachtar, S.; Navab, N.
Abstract:
Epileptic seizures constitute a serious neurological condition for patients and, if untreated, considerably decrease their quality of life. Early and correct diagnosis by semiological seizure analysis provides the main approach to treat and improve the patients' condition. To obtain reliable and quantifiable information, medical professionals perform seizure detection and subsequent analysis using expensive video-EEG systems in specialized epilepsy monitoring units. However, the detection of sei...     »
Keywords:
CAMP,ComputerVision,PatientMonitoring,ActivityRecognition,SpecialIssueJournal
Journal title:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Year:
2016
Pages contribution:
1--6
Publisher:
Taylor & Francis
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