Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
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 related features. These features which characterize the non-stationary nature and the multi-component characteristic of EEG signals, are extracted from the T-F representation of the signals. The signal related features are derived from the T-F representation of EEG signals and include the instantaneous frequency, singular value decomposition, and energy based features. The image related features are extracted from the T-F representation considered as an image, using T-F image processing techniques. These combined signal and image features allow to extract more information from a signal. The results obtained on newborn and adult EEG data, show that the image related features improve the performance of the EEG seizure detection in classification systems based on multi-SVM classifier.
- Engineering Innovation Research [41 items ]
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Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy Sucic, Victor; Saulig, Nicoletta; Boashash, Boualem ( 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 ...
IF estimation for multicomponent signals using image processing techniques in the time–frequency domain Rankine, L; Mesbah, M; Boashash, B ( Elsevier , 2006 , Article)This paper presents a method for estimating the instantaneous frequency (IF) of multicomponent signals. The technique involves, firstly, the transformation of the one-dimensional signal to the two-dimensional time–frequency ...
O'Toole, J.M.; Mesbah, M; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ...