Time-varying model identification for time–frequency feature extraction from EEG data

Time-varying model identification for time-frequency feature extraction from EEG data.

A novel modelling scheme that can be used to estimate and track time-varying properties of nonstationary signals is investigated. This scheme is based on a class of time-varying AutoRegressive with an eXogenous input (TVARX) models where the associated time-varying parameters are represented by multi-wavelet basis functions. The orthogonal least square (OLS) algorithm is then applied to refine ...

Feature eXtraction from sparse time series data

We present a computational methodology for qualitative analysis of sparse and noisy time series. Information about the changes of the signal level within a time series and the number of distinguishable signal levels is extracted and condensed into a pattern string. The qualitative analysis of a time series can be done at several levels of detail to generate pattern strings that encode the seque...

A Proposed Feature Extraction Method for EEG-based Person Identification

We propose in this paper a feature extraction method to extract brain wave features from electroencephalography (EEG) signal. The proposed feature extraction method is based on an assumption that EEG signal could be considered as stationary if the time window is sufficiently short. With this assumption, EEG signal has some similar properties to speech signal and hence a feature extraction metho...

Feature Extraction from Visual Data Feature Extraction from Visual Data

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains

In this paper we apply a novel tensor decomposition model of SOD (slice oriented decomposition) to extract slice features from the multichannel time-frequency representation of EEG signals measured for MI (motor imagery) tasks in application to BCI (brain computer interface). The advantages of the SOD based feature extraction approach lie in its capability to obtain slice matrix components acro...