Epileptic Seizure Detection Based on Video and EEG Recordings

被引：0
|
作者：
Aghaei, Hoda [1 ]
Kiani, Mohammad Mandi [1 ]
Aghajan, Hamid [1 ,2 ]
机构：
[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran
[2] Univ Ghent, Dept Telecommun & Informat Proc, imec, Ghent, Belgium
来源：
2017 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS) | 2017年
关键词：
epilepsy; electroencephalogram; seizure detection; spatial-temporal interest points;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Clinical data from epileptic patients reveal important information about the characteristics of the particular type of epilepsy. Such data is often acquired in a bimodal fashion, e. g. video recordings are collected with the standard Electroencephalogram (EEG) data, in order to help the specialists validate their assessment based on one modality with the other. Manual annotation of the onset of seizures across several days' worth of data is time consuming. This paper proposes an automated epilepsy seizure detection method based on a combination of features from EEG and video data, and compares it against detectors using either modality alone.
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页数：4
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