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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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Showing 2016Show all

7 papers · 1 filter

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…

eess.SY2016★ 3 cited

Control Strategy for Anaesthetic Drug Dosage with Interaction Among Human Physiological Organs Using Optimal Fractional Order PID Controller

Saptarshi Das, Sourav Das, Koushik Maharatna

In this paper, an efficient control strategy for physiological interaction based anaesthetic drug infusion model is explored using the fractional order (FO) proportional integral d…

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.bio-ph2016★ 76 cited

Exploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response

Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +4

Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, s…

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…

stat.AP2016★ 15 cited

Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy

Saptarshi Das, Barry Juans Ajiwibawa, Shre Kumar Chatterjee +6

Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-sp…