93 citations · 525 across the 17 of their papers we have counts for
17 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…
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response
Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +5
Plants monitor their surrounding environment and control their physiological functions by producing an electrical response. We recorded electrical signals from different plants by…
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…
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…
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…
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…
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…
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…
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations
Sanmitra Ghosh, Srinandan Dasmahapatra, Koushik Maharatna
Approximate Bayesian computation (ABC) using a sequential Monte Carlo method provides a comprehensive platform for parameter estimation, model selection and sensitivity analysis in…
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…
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…
Forward and Inverse Modelling Approaches for Prediction of Light Stimulus from Electrophysiological Response in Plants
Shre Kumar Chatterjee, Sanmitra Ghosh, Saptarshi Das +6
In this paper, system identification approach has been adopted to develop a novel dynamical model for describing the relationship between light as an environmental stimulus and the…
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…
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…