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 |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Electrical Engineering [2555 items ]
Related items
Showing items related by title, author, creator and subject.
-
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
( IEEE , 2011 , Conference Paper)This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
( Elsevier Inc. , 2015 , Article)This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ... -
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy
( Springer , 2011 , Article)The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its components, then this ...
