93 citations · 267 across the 8 of their papers we have counts for
8 papers
Hybrid Wavelet and EMD/ICA Approach for Artifact Suppression in Pervasive EEG
Valentina Bono, Saptarshi Das, Wasifa Jamal +1
Electroencephalogram (EEG) signals are often corrupted with unintended artifacts which need to be removed for extracting meaningful clinical information from them. Typically a prio…
Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach with EEG, fMRI and DTI
Bogdan Alexandru Cociu, Saptarshi Das, Lucia Billeci +5
This paper proposes a novel approach of integrating different neuroimaging techniques to characterize an autistic brain. Different techniques like EEG, fMRI and DTI have traditiona…
Using Brain Connectivity Measure of EEG Synchrostates for Discriminating Typical and Autism Spectrum Disorder
Wasifa Jamal, Saptarshi Das, Koushik Maharatna +5
In this paper we utilized the concept of stable phase synchronization topography - synchrostates - over the scalp derived from EEG recording for formulating brain connectivity netw…
Existence of Millisecond-order Stable States in Time-Varying Phase Synchronization Measure in EEG Signals
Wasifa Jamal, Saptarshi Das, Koushik Maharatna
In this paper, we have developed a new measure of understanding the temporal evolution of phase synchronization for EEG signals using cross-electrode information. From this measure…
On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks
Wasifa Jamal, Saptarshi Das, Koushik Maharatna +5
Phase synchronisation in multichannel EEG is known as the manifestation of functional brain connectivity. Traditional phase synchronisation studies are mostly based on time average…
Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates
Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu +3
Objective. The paper investigates the presence of autism using the functional brain connectivity measures derived from electro-encephalogram (EEG) of children during face perceptio…
Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques
Valentina Bono, Wasifa Jamal, Saptarshi Das +1
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of…
Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models
Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu +1
This paper proposes a stochastic model using the concept of Markov chains for the inter-state transitions of the millisecond order quasi-stable phase synchronized patterns or synch…