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20142018
most citedClassification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates

93 citations · 525 across the 17 of their papers we have counts for

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physics.med-ph2018★ 62 cited

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…

physics.med-ph2018★ 48 cited

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…

physics.med-ph2016★ 12 cited

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…

physics.med-ph2016★ 14 cited

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…

physics.med-ph2016★ 19 cited

A Statistical Index for Early Diagnosis of Ventricular Arrhythmia from the Trend Analysis of ECG Phase-portraits

Grazia Cappiello, Saptarshi Das, Evangelos B. Mazomenos +4

In this paper, we propose a novel statistical index for the early diagnosis of ventricular arrhythmia (VA) using the time delay phase-space reconstruction (PSR) technique, from the…

physics.med-ph2016★ 10 cited

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…

physics.med-ph2014★ 93 cited

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…

physics.med-ph2014★ 19 cited

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…

physics.med-ph2014★ 9 cited

A novel approach for the diagnosis of ventricular tachycardia based on phase space reconstruction of ECG

George Koulaouzidis, Saptarshi Das, Grazia Cappiello +3

Ventricular arrhythmias comprise a group of disorders which manifest clinically in a variety of ways from ventricular premature beats (VPB) and no sustained ventricular tachycardia…

physics.med-ph2014★ 60 cited

Fractional Dynamical Model for the Generation of ECG like Signals from Filtered Coupled Van-der Pol Oscillators

Saptarshi Das, Koushik Maharatna

In this paper, an incommensurate fractional order (FO) model has been proposed to generate ECG like waveforms. Earlier investigation of ECG like waveform generation is based on two…