Sadasivan Puthusserypady

发表

A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising

Kevin Kaergaard, Søren Hjøllund Jensen, Sadasivan Puthusserypady, 2016, Biomed. Signal Process. Control..

Guangtao Zhang, Sadasivan Puthusserypady, Jacopo M. Araujo, 2020, ETRA Adjunct.

Automatic minimization of ocular artifacts from electroencephalogram: A novel approach by combining Complete EEMD with Adaptive Noise and Renyi's Entropy

Sadasivan Puthusserypady, Mario Guarascio, S. Puthusserypady, 2017, Biomed. Signal Process. Control..

Performance analysis of Volterra-based nonlinear blind multiuser detector for DS-CDMA systems

Sadasivan Puthusserypady, Guo Linlin, 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method

Sadasivan Puthusserypady, C. Mahendra, 2006, IEEE Transactions on Neural Networks.

GIMIS: Gaze Input with Motor Imagery Selection

I. Scott MacKenzie, John Paulin Hansen, Per Baekgaard, 2020, ETRA Adjunct.

Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses

Sadasivan Puthusserypady, Huaien Luo, S. Puthusserypady, 2007, Signal Process..

fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach

Sadasivan Puthusserypady, Huaien Luo, S. Puthusserypady, 2007, IEEE Transactions on Biomedical Engineering.

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application

Sadasivan Puthusserypady, Muhammad Ahmed Khan, Rig Das, 2020, Comput. Biol. Medicine.

Improved adaptive cancellation of EOG artifacts from EEG signals using linearly predicted reference input

Dutt Narayana, Sadasivan Puthusserypady, 1990 .

Neural Networks for fMRI Spatio-temporal Analysis

Sadasivan Puthusserypady, Huaien Luo, 2004, ICONIP.

Performance analysis of Volterra-based nonlinear adaptive blind multiuser detectors for DS-CDMA systems

Sadasivan Puthusserypady, Guo Linlin, 2004, Signal Process..

An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram

Sadasivan Puthusserypady, Abdolrahman Peimankar, S. Puthusserypady, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An end-to-end deep learning approach to MI-EEG signal classification for BCIs

Sadasivan Puthusserypady, Helle K. Iversen, Hauke Dose, 2018, Expert Syst. Appl..

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data

Morten Mørup, Ali Mohebbi, Henrik Bengtsson, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dynamic reconstruction of a chaotic process using regularized RBF networks

Sadasivan Puthusserypady, Haykin Simon, Yee Paul, 1997 .

A super resolution algorithm for the adaptive detection of signals in a CDMA scheme

Sadasivan Puthusserypady, W TanLH, 2001 .

An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm

Sadasivan Puthusserypady, Helle K. Iversen, Jakob S. Møller, 2018, Comput. Biol. Medicine.

A Constrained Genetic Algorithm for Efficient Dimensionality Reduction for Pattern Classification

Sadasivan Puthusserypady, Rajesh Chandrasekhara Panicker, S. Puthusserypady, 2007, 2007 International Conference on Computational Intelligence and Security (CIS 2007).

Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface

Jakob Jakobsen, Sadasivan Puthusserypady, Andrei Chiuzbaian, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Robust Estimation of HDR in fMRI using $H^\infty$ Filters

Tharmalingam Ratnarajah, Sadasivan Puthusserypady, Rui Jue, 2010, IEEE Transactions on Biomedical Engineering.

FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach

Sadasivan Puthusserypady, Muhammad Ahmed Khan, Rig Das, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback

John Paulin Hansen, Sadasivan Puthusserypady, Helle Klingenberg Iversen, 2019, AH.

A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study

Sadasivan Puthusserypady, Aleksandra Vuckovic, Ciaran McGeady, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis

Sadasivan Puthusserypady, Huaien Luo, S. Puthusserypady, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Analysis of fMRI Data With Drift: Modified General Linear Model and Bayesian Estimator

Sadasivan Puthusserypady, Huaien Luo, 2008, IEEE Transactions on Biomedical Engineering.

DENS-ECG: A Deep Learning Approach for ECG Signal Delineation pdf

Sadasivan Puthusserypady, Abdolrahman Peimankar, S. Puthusserypady, 2020, Expert Syst. Appl..

Error Correction With Chaotic Switching Between Convolutional Codecs

Sadasivan Puthusserypady, Lock Yue Chew, Tze Yang Ng, 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

Consequence of Stress on Cognitive Performance: An EEG and HRV Study

Sadasivan Puthusserypady, Sachin Prathaban, Vishal Sisodia, 2019, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON).

An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers

Sadasivan Puthusserypady, Paula Sánchez López, Helle K Iversen, 2019, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON).

Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation

Sadasivan Puthusserypady, Abdolrahman Peimankar, S. Puthusserypady, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Detection of user independent single trial ERPs in Brain Computer Interfaces: An adaptive spatial filtering approach

Sadasivan Puthusserypady, Cristina Leza, S. Puthusserypady, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A novel multiuser detection scheme combining adaptive MMSE receiver and parallel interference canceller for near-far resistance

Sadasivan Puthusserypady, Du Lin, 2002, 4th International Workshop on Mobile and Wireless Communications Network.

Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD

Helge B. D. Sørensen, Sadasivan Puthusserypady, Darius Adam Rohani, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust Estimation of HDR in fMRI using HINFINITY Filters

Sadasivan Puthusserypady, Tharmalingam Ratnarajah, Rui Jue, 2010, IEEE Trans. Biomed. Eng..

Signal processing algorithms for minimization of artifacts in electroencephalogram

Sadasivan Puthusserypady, 1995 .

Performance Analysis of Nonlinear-Predictive-Filter-Based Chaotic Synchronization

Sadasivan Puthusserypady, Ajeesh P. Kurian, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

A nonlinear estimation model for the minimization of EOG artifacts from EEG signals

Sadasivan Puthusserypady, Narayana Dutt, 1994 .

A 3D learning playground for potential attention training in ADHD: A brain computer interface approach

Sadasivan Puthusserypady, Abdulla Ali, S. Puthusserypady, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Semi-Blind Channel Estimation for Space-Time Coded Amplify-and-Forward Relay Networks

Yang Lu, Feifei Gao, Arumugam Nallanathan, 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

Helge B. D. Sørensen, Sadasivan Puthusserypady, Troels W. Kjær, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SSVEP-modulation by covert and overt attention: Novel features for BCI in attention neuro-rehabilitation

Hartwig R. Siebner, Helge B. D. Sørensen, Sadasivan Puthusserypady, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

ADAPTIVE CSP FOR USER INDEPENDENCE IN MI-BCI PARADIGM FOR UPPER LIMB STROKE REHABILITATION

Sadasivan Puthusserypady, Helle K. Iversen, Jakob S. Møller, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Optimal pseudorandom sequence selection for online c-VEP based BCI control applications

Ali Mohebbi, Sadasivan Puthusserypady, Jonas L. Isaksen, 2017, PloS one.

Asynchronous P300 BCI: SSVEP-based control state detection

Ying Sun, Sadasivan Puthusserypady, Rajesh Chandrasekhara Panicker, 2010, 2010 18th European Signal Processing Conference.

Performance enhancement of DS/CDMA system using chaotic complex spreading sequence

Sadasivan Puthusserypady, Ajeesh P. Kurian, Su Myat Htut, 2005, IEEE Transactions on Wireless Communications.

Unscented Kalman Filter and Particle Filter for Chaotic Synchronization

Sadasivan Puthusserypady, Ajeesh P. Kurian, A. P. Kurian, 2006, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems.

Extraction of fetal electrocardiogram using H∞ adaptive algorithms

Sadasivan Puthusserypady, S. Puthusserypady, 2007, Medical & Biological Engineering & Computing.

A Deep Learning MI - EEG Classification Model for BCIs

Sadasivan Puthusserypady, Helle K. Iversen, Hauke Dose, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Estimation of the Hemodynamic Response of fMRI Data Using RBF Neural Network

Sadasivan Puthusserypady, Huaien Luo, S. Puthusserypady, 2007, IEEE Transactions on Biomedical Engineering.

Real-time brain computer interface using imaginary movements

Helge B. D. Sørensen, Sadasivan Puthusserypady, Troels W. Kjær, 2015 .

Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability

Sadasivan Puthusserypady, Iben H. Bruun, Semira M. S. Hissabu, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robust adaptive techniques for minimization of EOG artefacts from EEG signals

Tharmalingam Ratnarajah, Sadasivan Puthusserypady, T. Ratnarajah, 2006, Signal Process..

Spatial filter feature extraction methods for P300 BCI speller: A comparison

Sadasivan Puthusserypady, Eleni Chiou, S. Puthusserypady, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A novel DS/SS system with complex chaotic spreading sequence

Sadasivan Puthusserypady, Su Myat Htut, A. P. Kurian, 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

An adaptive decision feedback PIC detector for asynchronous DS-CDMA system

Sadasivan Puthusserypady, Du Lin, 2003 .

A Constrained Genetic Algorithm for Efficient Dimensionality Reduction for Pattern Classification

Sadasivan Puthusserypady, Rajesh C. Panicker, 2007 .

Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning

Ting Wang, Prudence W. H. Wong, Steven Guan, 2014, Int. J. Appl. Evol. Comput..

Vocal Imagery vs Intention: Viability of Vocal-Based EEG-BCI Paradigms

Sadasivan Puthusserypady, Alexander Borch Kristensen, Younes Subhi, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Parallel interference cancellation scheme based on adaptive MMSE detector for DS-CDMA systems

Sadasivan Puthusserypady, Du Lin, 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

Ordered Incremental Multi-Objective Problem Solving Based on Genetic Algorithms

Steven Guan, Sadasivan Puthusserypady, Wenting Mo, 2010, Int. J. Appl. Evol. Comput..

A deep learning approach for real-time detection of atrial fibrillation

Sadasivan Puthusserypady, Rasmus S. Andersen, Abdolrahman Peimankar, 2019, Expert Syst. Appl..

NARX Neural Networks for Dynamical Modelling of fMRI Data

Sadasivan Puthusserypady, Huaien Luo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An Improved Five Class MI Based BCI Scheme for Drone Control Using Filter Bank CSP

Sadasivan Puthusserypady, S⊘ren M⊘ller Christensen, Nicklas Stubkjær Holm, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms

Kevin Kaergaard, Søren Hjøllund Jensen, Sadasivan Puthusserypady, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A novel CDP DS/SS system with 2-dimensional Ikeda map chaotic sequence

Sadasivan Puthusserypady, Su Myat Htut, S. Puthusserypady, 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

An adaptive decision feedback PIC for asynchronous DS-CDMA system

Sadasivan Puthusserypady, Du Lin, 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

BCI using imaginary movements: The simulator

Helge B. D. Sørensen, Sadasivan Puthusserypady, Troels W. Kjær, 2013, Comput. Methods Programs Biomed..

Steady state visual evoked potential based brain-computer interface for cognitive assessment

Helge B. D. Sørensen, Sadasivan Puthusserypady, Helge B. D. Sørensen, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Assessing tDCS Placebo Effects on EEG and Cognitive Tasks

Sadasivan Puthusserypady, Tine Holmbæck Petersen, S. Puthusserypady, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Importance of Graphical User Interface in the design of P300 based Brain-Computer Interface systems

Sadasivan Puthusserypady, Liam Ratcliffe, S. Puthusserypady, 2020, Comput. Biol. Medicine.

Adaptation in P300 Brain–Computer Interfaces: A Two-Classifier Cotraining Approach

Ying Sun, Sadasivan Puthusserypady, Rajesh Chandrasekhara Panicker, 2010, IEEE Transactions on Biomedical Engineering.

DTU BCI speller: An SSVEP-based spelling system with dictionary support

Helge B. D. Sørensen, Adnan Vilic, Sadasivan Puthusserypady, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential

Helge B. D. Sørensen, Ali Mohebbi, Sadasivan Puthusserypady, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation

Sadasivan Puthusserypady, Helle K. Iversen, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A novel approach for automatic detection of Atrial Fibrillation based on Inter Beat Intervals and Support Vector Machine

Sadasivan Puthusserypady, Rasmus S. Andersen, Erik S. Poulsen, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control

Sadasivan Puthusserypady, Ali Mohebbi, Jonas Isaksen, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Minimization of EOG artifacts from EEG signals using adaptive noise cancellation technique with a non-linear estimation model

Dutt Narayana, Sadasivan Puthusserypady, 1990 .

Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning

Sadasivan Puthusserypady, Abdolrahman Peimankar, Mona Jafar Jajroodi, 2019, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON).

Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach

Søren Hjøllund Jensen, Sadasivan Puthusserypady, Gerald Hirsch, 2021, Expert Syst. Appl..

17. Power Spectrum Estimation