Search
Now showing items 1-8 of 8
Evidence theory-based approach for epileptic seizure detection using EEG signals
(
IEEE
, 2012 , Conference Paper)
Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ...
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
(
IEEE Computer Society
, 2012 , Conference Paper)
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 ...
Evaluation of the modified S-transform for timefrequency synchrony analysis and source localisation
(2012 , Article)
This article considers the problem of phase synchrony and coherence analysis using a modified version of the S-transform, referred to here as the Modified S-transform (MST). This is a novel and important time-frequency ...
Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG
(2012 , Conference Paper)
Inter-hemispheric asynchrony within the multichannel recordings of newborn EEG is associated with abnormal functionality of the newborn brain. Mean Phase Coherence (MPC) as a bivariate phase synchrony measure is widely ...
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ...
Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis
(2012 , Conference Paper)
This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchrony in time-frequency analysis based on the concept of cointegration. This phase synchrony is then quantified by investigating ...
Detecting different tasks using EEG-source-temporal features
(
Springer Nature
, 2012 , Conference Paper)
This study proposes a new type of features extracted from Electroencephalography (EEG) signals to distinguish between different tasks. EEG signals are collected from six children aged between two to six years old during ...
Fuzzy model for detection and estimation of the degree of autism spectrum disorder
(
Springer Nature
, 2012 , Conference Paper)
Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment ...