کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10321874 | 660771 | 2015 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients](/preview/png/10321874.png)
چکیده انگلیسی
In this paper a seizure detector using EEG and ECG signals, as a module of a healthcare system, is presented. Specifically, the module is based on short-time analysis with time-domain and frequency-domain features and classification using support vector machines. The seizure detection module was evaluated on three subjects with diagnosed idiopathic generalized epilepsy manifested with absences. The achieved seizure detection accuracy was approximately 90% for all evaluated subjects. Feature ranking investigation and evaluation of the seizure detection module using subsets of features showed that the feature vector composed of approximately the 65%-best ranked parameters provides a good trade-off between computational demands and accuracy. This configurable architecture allows the seizure detection module to operate as part of a healthcare system in offline mode as well as in online mode, where real-time performance is needed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 6, 15 April 2015, Pages 3227-3233
Journal: Expert Systems with Applications - Volume 42, Issue 6, 15 April 2015, Pages 3227-3233
نویسندگان
Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Mark Richardson, Vasileios Megalooikonomou,