Sadasivan Puthusserypady

Orcid: 0000-0001-7564-2612

According to our database1, Sadasivan Puthusserypady authored at least 89 papers between 1996 and 2024.

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Bibliography

2024
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation.
CoRR, 2024

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis.
CoRR, 2024

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm.
Expert Syst. Appl., 2023

Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning.
CoRR, 2023

Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing.
CoRR, 2023

Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals.
Proceedings of the Computing in Cardiology, 2023

2022
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.
Int. J. Medical Informatics, 2022

Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.
Comput. Methods Programs Biomed., 2022

Feasibility of a Device for Gaze Interaction by Visually-Evoked Brain Signals.
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021
DENS-ECG: A deep learning approach for ECG signal delineation.
Expert Syst. Appl., 2021

Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach.
Expert Syst. Appl., 2021

Electromyography and Inertial Motion Sensors Based Wearable Data Acquisition System for Stroke Patients: A Pilot Study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Filter bank approach for enhancement of supervised Canonical Correlation Analysis methods for SSVEP-based BCI spellers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Hybrid EEG-EOG-based BCI system for Vehicle Control.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2020
Importance of Graphical User Interface in the design of P300 based Brain-Computer Interface systems.
Comput. Biol. Medicine, 2020

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application.
Comput. Biol. Medicine, 2020

FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

GIMIS: Gaze Input with Motor Imagery Selection.
Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

Exploring Eye-Gaze Wheelchair Control.
Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019
A deep learning approach for real-time detection of atrial fibrillation.
Expert Syst. Appl., 2019

Consequence of Stress on Cognitive Performance: An EEG and HRV Study.
Proceedings of the TENCON 2019, 2019

Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning.
Proceedings of the TENCON 2019, 2019

An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers.
Proceedings of the TENCON 2019, 2019

An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram.
Proceedings of the IEEE International Conference on Acoustics, 2019

Assessing tDCS Placebo Effects on EEG and Cognitive Tasks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

An Improved Five Class MI Based BCI Scheme for Drone Control Using Filter Bank CSP.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback.
Proceedings of the 10th Augmented Human International Conference 2019, 2019

2018
An end-to-end deep learning approach to MI-EEG signal classification for BCIs.
Expert Syst. Appl., 2018

An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm.
Comput. Biol. Medicine, 2018

Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation.
Proceedings of the 26th European Signal Processing Conference, 2018

A Deep Learning MI - EEG Classification Model for BCIs.
Proceedings of the 26th European Signal Processing Conference, 2018

Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Automatic minimization of ocular artifacts from electroencephalogram: A novel approach by combining Complete EEMD with Adaptive Noise and Renyi's Entropy.
Biomed. Signal Process. Control., 2017

Detection of user independent single trial ERPs in Brain Computer Interfaces: An adaptive spatial filtering approach.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A novel approach for automatic detection of Atrial Fibrillation based on Inter Beat Intervals and Support Vector Machine.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising.
Biomed. Signal Process. Control., 2016

Spatial filter feature extraction methods for P300 BCI speller: A comparison.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Steady state visual evoked potential based brain-computer interface for cognitive assessment.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A 3D learning playground for potential attention training in ADHD: A brain computer interface approach.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning.
Int. J. Appl. Evol. Comput., 2014

Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

SSVEP-modulation by covert and overt attention: Novel features for BCI in attention neuro-rehabilitation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
BCI using imaginary movements: The simulator.
Comput. Methods Programs Biomed., 2013

DTU BCI speller: An SSVEP-based spelling system with dictionary support.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011
An Asynchronous P300 BCI With SSVEP-Based Control State Detection.
IEEE Trans. Biomed. Eng., 2011

2010
Robust Estimation of HDR in fMRI using H<sup>INFINITY</sup> Filters.
IEEE Trans. Biomed. Eng., 2010

Adaptation in P300 Brain-Computer Interfaces: A Two-Classifier Cotraining Approach.
IEEE Trans. Biomed. Eng., 2010

Ordered Incremental Multi-Objective Problem Solving Based on Genetic Algorithms.
Int. J. Appl. Evol. Comput., 2010

Asynchronous P300 BCI: SSVEP-based control state detection.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Semi-Blind Channel Estimation for Space-Time Coded Amplify-and-Forward Relay Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
Error Correction With Chaotic Switching Between Convolutional Codecs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Analysis of fMRI Data With Drift: Modified General Linear Model and Bayesian Estimator.
IEEE Trans. Biomed. Eng., 2008

Self-synchronizing chaotic stream ciphers.
Signal Process., 2008

2007
fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach.
IEEE Trans. Biomed. Eng., 2007

Estimation of the Hemodynamic Response of fMRI Data Using RBF Neural Network.
IEEE Trans. Biomed. Eng., 2007

Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses.
Signal Process., 2007

Extraction of fetal electrocardiogram using <i>H</i> <sup>∞</sup> adaptive algorithms.
Medical Biol. Eng. Comput., 2007

Analysis of Schizophrenic EEG Synchrony using Empirical Mode Decomposition.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Constrained Genetic Algorithm for Efficient Dimensionality Reduction for Pattern Classification.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method.
IEEE Trans. Neural Networks, 2006

Performance Analysis of Nonlinear-Predictive-Filter-Based Chaotic Synchronization.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Robust adaptive techniques for minimization of EOG artefacts from EEG signals.
Signal Process., 2006

Spatio-temporal Modeling and Analysis of Fmri Data Using Narx Neural Network.
Int. J. Neural Syst., 2006

NARX Neural Networks for Dynamical Modelling of fMRI Data.
Proceedings of the International Joint Conference on Neural Networks, 2006

Elman neural networks for dynamic modeling of epileptic EEG.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Unscented Kalman Filter and Particle Filter for Chaotic Synchronization.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

2005
Performance enhancement of DS/CDMA system using chaotic complex spreading sequence.
IEEE Trans. Wirel. Commun., 2005

A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

H<sup>∞</sup> adaptive filters for eye blink artifact minimization from electroencephalogram.
IEEE Signal Process. Lett., 2005

2004
Performance analysis of Volterra-based nonlinear adaptive blind multiuser detectors for DS-CDMA systems.
Signal Process., 2004

Neural Networks for fMRI Spatio-temporal Analysis.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
Performance analysis of Volterra-based nonlinear blind multiuser detector for DS-CDMA systems.
Proceedings of the 2003 IEEE Wireless Communications and Networking, 2003

Parallel interference cancellation scheme based on adaptive MMSE detector for DS-CDMA systems.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

A novel CDP DS/SS system with 2-dimensional Ikeda map chaotic sequence.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

2002
A novel multiuser detection scheme combining adaptive MMSE receiver and parallel interference canceller for near-far resistance.
Proceedings of The Fourth IEEE Conference on Mobile and Wireless Communications Networks, 2002

1996
The nature of dominant lyapunov exponent and attractor dimension curves of eeg in sleep.
Comput. Biol. Medicine, 1996


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