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Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals

المؤلفBahnasy Y.
المؤلفSaad N.
المؤلفBoubchir L.
المؤلفBoashash B.
تاريخ الإتاحة2022-05-31T19:01:40Z
تاريخ النشر2012
اسم المنشور2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ISSPA.2012.6310531
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31939
الملخصThis paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The proposed features allow the possibility of improving the performance of the seizure detection and classification system based on multi-class SVM classifier.
اللغةen
الناشرIEEE Computer Society
الموضوعBiomedical signal processing
Feature extraction
Frequency domain analysis
Signal processing
Classification system
EEG signals
Frequency features
Multiclass SVM
Seizure detection
Time features
Time frequency domain
Time frequency features
Classification (of information)
العنوانCalibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
النوعConference Paper
الصفحات1442-1443
dc.accessType Abstract Only


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