Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
| Author | Bahnasy Y. |
| Author | Saad N. |
| Author | Boubchir L. |
| Author | Boashash B. |
| Available date | 2022-05-31T19:01:40Z |
| Publication Date | 2012 |
| Publication Name | 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 |
| Resource | Scopus |
| Identifier | http://dx.doi.org/10.1109/ISSPA.2012.6310531 |
| Abstract | This 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. |
| Language | en |
| Publisher | IEEE Computer Society |
| Subject | Biomedical 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) |
| Type | Conference Paper |
| Pagination | 1442-1443 |
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Electrical Engineering [2649 items ]
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