The nature of dominant lyapunov exponent and attractor dimension curves of eeg in sleep. - Nithyananda Pradhan; Sadasivan K. Puthusserypady (Comput. Biol. Medicine, 1996)

A novel multiuser detection scheme combining adaptive MMSE receiver and parallel interference canceller for near-far resistance. - Du Lin; Sadasivan Puthusserypady (MWCN, 2002)

A novel CDP DS/SS system with 2-dimensional Ikeda map chaotic sequence. - Su Myat Htut; Sadasivan Puthusserypady (PIMRC, 2003)

Parallel interference cancellation scheme based on adaptive MMSE detector for DS-CDMA systems. - Du Lin; Sadasivan Puthusserypady (PIMRC, 2003)

Performance analysis of Volterra-based nonlinear blind multiuser detector for DS-CDMA systems. - Guo Linlin; Sadasivan Puthusserypady (WCNC, 2003)

Neural Networks for fMRI Spatio-temporal Analysis. - Huaien Luo; Sadasivan Puthusserypady (ICONIP, 2004)

Performance analysis of Volterra-based nonlinear adaptive blind multiuser detectors for DS-CDMA systems. - Guo Linlin; Sadasivan Puthusserypady (Signal Process., 2004)

H∞ adaptive filters for eye blink artifact minimization from electroencephalogram. - Sadasivan Puthusserypady; Tharmalingam Ratnarajah (IEEE Signal Process. Lett., 2005)

A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis. - Huaien Luo; Sadasivan Puthusserypady (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Performance enhancement of DS/CDMA system using chaotic complex spreading sequence. - Ajeesh P. Kurian; Sadasivan Puthusserypady; Su Myat Htut (IEEE Trans. Wirel. Commun., 2005)

Unscented Kalman Filter and Particle Filter for Chaotic Synchronization. - Ajeesh P. Kurian; Sadasivan Puthusserypady (APCCAS, 2006)

Elman neural networks for dynamic modeling of epileptic EEG. - N. Kannathal; Sadasivan K. Puthusserypady; Lim Choo Min (EMBC, 2006)

NARX Neural Networks for Dynamical Modelling of fMRI Data. - Huaien Luo; Sadasivan Puthusserypady (IJCNN, 2006)

Spatio-temporal Modeling and Analysis of Fmri Data Using Narx Neural Network. - Huaien Luo; Sadasivan Puthusserypady (Int. J. Neural Syst., 2006)

Robust adaptive techniques for minimization of EOG artefacts from EEG signals. - Sadasivan Puthusserypady; Tharmalingam Ratnarajah (Signal Process., 2006)

Performance Analysis of Nonlinear-Predictive-Filter-Based Chaotic Synchronization. - Ajeesh P. Kurian; Sadasivan Puthusserypady (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method. - C. Mahendra; Sadasivan Puthusserypady (IEEE Trans. Neural Networks, 2006)

A Constrained Genetic Algorithm for Efficient Dimensionality Reduction for Pattern Classification. - Rajesh Chandrasekhara Panicker; Sadasivan Puthusserypady (CIS, 2007)

Analysis of Schizophrenic EEG Synchrony using Empirical Mode Decomposition. - Zuo Ziqiang; Sadasivan Puthusserypady (DSP, 2007)

Extraction of fetal electrocardiogram using H ∞ adaptive algorithms. - Sadasivan Puthusserypady (Medical Biol. Eng. Comput., 2007)

Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses. - Huaien Luo; Sadasivan Puthusserypady (Signal Process., 2007)

Estimation of the Hemodynamic Response of fMRI Data Using RBF Neural Network. - Huaien Luo; Sadasivan Puthusserypady (IEEE Trans. Biomed. Eng., 2007)

fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach. - Huaien Luo; Sadasivan Puthusserypady (IEEE Trans. Biomed. Eng., 2007)

Self-synchronizing chaotic stream ciphers. - Ajeesh P. Kurian; Sadasivan Puthusserypady (Signal Process., 2008)

Analysis of fMRI Data With Drift: Modified General Linear Model and Bayesian Estimator. - Huaien Luo; Sadasivan Puthusserypady (IEEE Trans. Biomed. Eng., 2008)

Error Correction With Chaotic Switching Between Convolutional Codecs. - Tze Yang Ng; Lock Yue Chew; Sadasivan Puthusserypady (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Semi-Blind Channel Estimation for Space-Time Coded Amplify-and-Forward Relay Networks. - Yang Lu; Feifei Gao; Sadasivan Puthusserypady; Arumugam Nallanathan (GLOBECOM, 2009)

Asynchronous P300 BCI: SSVEP-based control state detection. - Rajesh Chandrasekhara Panicker; Sadasivan Puthusserypady; Ananda P. Pryana; Ying Sun 001 (EUSIPCO, 2010)

Ordered Incremental Multi-Objective Problem Solving Based on Genetic Algorithms. - Wenting Mo; Sheng Uei Guan; Sadasivan Puthusserypady (Int. J. Appl. Evol. Comput., 2010)

Adaptation in P300 Brain-Computer Interfaces: A Two-Classifier Cotraining Approach. - Rajesh Chandrasekhara Panicker; Sadasivan Puthusserypady; Ying Sun 001 (IEEE Trans. Biomed. Eng., 2010)

Robust Estimation of HDR in fMRI using HINFINITY Filters. - Sadasivan Puthusserypady; Rui Jue; Tharmalingam Ratnarajah (IEEE Trans. Biomed. Eng., 2010)

An Asynchronous P300 BCI With SSVEP-Based Control State Detection. - Rajesh Chandrasekhara Panicker; Sadasivan Puthusserypady; Ying Sun 001 (IEEE Trans. Biomed. Eng., 2011)

Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training. - Thomas Bender; Troels W. Kjær; Carsten E. Thomsen; Helge B. D. Sørensen; Sadasivan Puthusserypady (EMBC, 2013)

DTU BCI speller: An SSVEP-based spelling system with dictionary support. - Adnan Vilic; Troels W. Kjær; Carsten E. Thomsen; Sadasivan Puthusserypady; Helge B. D. Sørensen (EMBC, 2013)

BCI using imaginary movements: The simulator. - Darius A. Rohani; William S. Henning; Carsten E. Thomsen; Troels W. Kjær; Sadasivan Puthusserypady; Helge B. D. Sørensen (Comput. Methods Programs Biomed., 2013)

SSVEP-modulation by covert and overt attention: Novel features for BCI in attention neuro-rehabilitation. - Mehdi Ordikhani-Seyedlar; Helge B. D. Sørensen; Troels W. Kjær; Hartwig R. Siebner; Sadasivan Puthusserypady (EMBC, 2014)

Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD. - Darius Adam Rohani; Helge B. D. Sørensen; Sadasivan Puthusserypady (EMBC, 2014)

Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning. - Ting Wang 011; Sheng-Uei Guan; Sadasivan Puthusserypady; Prudence W. H. Wong (Int. J. Appl. Evol. Comput., 2014)

A 3D learning playground for potential attention training in ADHD: A brain computer interface approach. - Abdulla Ali; Sadasivan Puthusserypady (EMBC, 2015)

ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms. - Kevin Kaergaard; Søren Hjøllund Jensen; Sadasivan Puthusserypady (EMBC, 2015)

A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential. - Ali Mohebbi 001; Signe K. D. Engelsholm; Sadasivan Puthusserypady; Troels W. Kjær; Carsten E. Thomsen; Helge B. D. Sørensen (EMBC, 2015)

A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control. - Jonas Isaksen; Ali Mohebbi 001; Sadasivan Puthusserypady (EMBC, 2016)

Steady state visual evoked potential based brain-computer interface for cognitive assessment. - Nicolai Westergren; Rasmus L. Bendtsen; Troels W. Kjær; Carsten E. Thomsen; Sadasivan Puthusserypady; Helge B. D. Sørensen (EMBC, 2016)

Spatial filter feature extraction methods for P300 BCI speller: A comparison. - Eleni Chiou; Sadasivan Puthusserypady (SMC, 2016)

A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising. - Kevin Kaergaard; Søren Hjøllund Jensen; Sadasivan Puthusserypady (Biomed. Signal Process. Control., 2016)

A novel approach for automatic detection of Atrial Fibrillation based on Inter Beat Intervals and Support Vector Machine. - Rasmus S. Andersen; Erik S. Poulsen; Sadasivan Puthusserypady (EMBC, 2017)

Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability. - Iben H. Bruun; Semira M. S. Hissabu; Erik S. Poulsen; Sadasivan Puthusserypady (EMBC, 2017)

Detection of user independent single trial ERPs in Brain Computer Interfaces: An adaptive spatial filtering approach. - Cristina Leza; Sadasivan Puthusserypady (EMBC, 2017)

Automatic minimization of ocular artifacts from electroencephalogram: A novel approach by combining Complete EEMD with Adaptive Noise and Renyi's Entropy. - Mario Guarascio; Sadasivan Puthusserypady (Biomed. Signal Process. Control., 2017)

Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation. - Helle K. Iversen; Sadasivan Puthusserypady (EMBC, 2018)

A Deep Learning MI - EEG Classification Model for BCIs. - Hauke Dose; Jakob S. Møller; Sadasivan Puthusserypady; Helle K. Iversen (EUSIPCO, 2018)

Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation. - Abdolrahman Peimankar; Sadasivan Puthusserypady (EUSIPCO, 2018)

Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation. - Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (GlobalSIP, 2018)

An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm. - Ana P. Costa; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (Comput. Biol. Medicine, 2018)

An end-to-end deep learning approach to MI-EEG signal classification for BCIs. - Hauke Dose; Jakob S. Møller; Helle K. Iversen; Sadasivan Puthusserypady (Expert Syst. Appl., 2018)

Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback. - Tamás Karácsony; John Paulin Hansen; Helle Klingenberg Iversen; Sadasivan Puthusserypady (AH, 2019)

Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface. - Andrei Chiuzbaian; Jakob Jakobsen; Sadasivan Puthusserypady (BCI, 2019)

An Improved Five Class MI Based BCI Scheme for Drone Control Using Filter Bank CSP. - Soren Moller Christensen; Nicklas Stubkjar Holm; Sadasivan Puthusserypady (BCI, 2019)

A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study. - Ciarán McGeady; Aleksandra Vuckovic; Sadasivan Puthusserypady (BCI, 2019)

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data. - Ali Mohebbi 001; Jens Magelund Tarp; Morten Lind Jensen; Sadasivan Puthusserypady; Elise Hachmann-Nielsen; Henrik Bengtsson; Morten Mørup (EMBC, 2019)

Assessing tDCS Placebo Effects on EEG and Cognitive Tasks. - Tine Holmbæck Petersen; Sadasivan Puthusserypady (EMBC, 2019)

An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram. - Abdolrahman Peimankar; Sadasivan Puthusserypady (ICASSP, 2019)

An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers. - Paula Sánchez López; Helle K. Iversen; Sadasivan Puthusserypady (TENCON, 2019)

Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning. - Abdolrahman Peimankar; Mona Jafar Jajroodi; Sadasivan Puthusserypady (TENCON, 2019)

Consequence of Stress on Cognitive Performance: An EEG and HRV Study. - Sachin Prathaban; Vishal Sisodia; Sadasivan Puthusserypady (TENCON, 2019)

A deep learning approach for real-time detection of atrial fibrillation. - Rasmus S. Andersen; Abdolrahman Peimankar; Sadasivan Puthusserypady (Expert Syst. Appl., 2019)

Exploring Eye-Gaze Wheelchair Control. - Jacopo M. Araujo; Guangtao Zhang; John Paulin Hansen; Sadasivan Puthusserypady (ETRA Adjunct, 2020)

GIMIS: Gaze Input with Motor Imagery Selection. - Baosheng James Hou; Per Bækgaard; I. Scott MacKenzie; John Paulin Hansen; Sadasivan Puthusserypady (ETRA Adjunct, 2020)

FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach. - Rig Das; Paula Sánchez López; Muhammad Ahmed Khan; Helle K. Iversen; Sadasivan Puthusserypady (SMC, 2020)

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. - Muhammad Ahmed Khan; Rig Das; Helle K. Iversen; Sadasivan Puthusserypady (Comput. Biol. Medicine, 2020)

Importance of Graphical User Interface in the design of P300 based Brain-Computer Interface systems. - Liam Ratcliffe; Sadasivan Puthusserypady (Comput. Biol. Medicine, 2020)

Hybrid EEG-EOG-based BCI system for Vehicle Control. - Simon Dahl Thorsager Olesen; Rig Das; Mathias Dizon Olsson; Muhammad Ahmed Khan; Sadasivan Puthusserypady (BCI, 2021)

Filter bank approach for enhancement of supervised Canonical Correlation Analysis methods for SSVEP-based BCI spellers. - Mario Corral Bolaños; Sheyla Barrado Ballestero; Sadasivan Puthusserypady (EMBC, 2021)

Electromyography and Inertial Motion Sensors Based Wearable Data Acquisition System for Stroke Patients: A Pilot Study. - Muhammad Ahmed Khan; Bayram Metin Bayram; Rig Das; Sadasivan Puthusserypady (EMBC, 2021)

Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach. - Gerald Hirsch; Søren Hjøllund Jensen; Erik S. Poulsen; Sadasivan Puthusserypady (Expert Syst. Appl., 2021)

DENS-ECG: A deep learning approach for ECG signal delineation. - Abdolrahman Peimankar; Sadasivan Puthusserypady (Expert Syst. Appl., 2021)

Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation. - Alex Efstathios Voinas; Rig Das; Muhammad Ahmed Khan; Iris Brunner; Sadasivan Puthusserypady (BCI, 2022)

Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface. - Cihan Uyanik; Muhammad Ahmed Khan; Rig Das; John Paulin Hansen; Sadasivan Puthusserypady (BIODEVICES, 2022)

Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation. - Cihan Uyanik; Muhammad Ahmed Khan; Iris Brunner; John Paulin Hansen; Sadasivan Puthusserypady (EMBC, 2022)

Feasibility of a Device for Gaze Interaction by Visually-Evoked Brain Signals. - Baosheng James Hou; John Paulin Hansen; Cihan Uyanik; Per Bækgaard; Sadasivan Puthusserypady; Jacopo M. Araujo; I. Scott MacKenzie (ETRA, 2022)

Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection. - Devender Kumar; Abdolrahman Peimankar; Kamal Sharma; Helena Dominguez; Sadasivan Puthusserypady; Jakob E. Bardram (Comput. Methods Programs Biomed., 2022)

Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches. - Masud Shah Jahan; Marjan Mansourvar; Sadasivan Puthusserypady; Uffe Kock Wiil; Abdolrahman Peimankar (Int. J. Medical Informatics, 2022)

Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals. - Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Jakob E. Bardram (CinC, 2023)

Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2023)

Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2023)

An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm. - Devender Kumar; Sadasivan Puthusserypady; Helena Dominguez; Kamal Sharma; Jakob E. Bardram (Expert Syst. Appl., 2023)

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (IJCAI, 2024)

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis. - Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Adrian Atienza; Jakob E. Bardram (CoRR, 2024)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2024)

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (AAAI, 2025)

EarEOG: Using Headphones and Around-the-Ear EOG Signals for Real-Time Wheelchair Control. - Peichen Liu; Sadasivan Puthusserypady; I. Scott MacKenzie; Cihan Uyanik; John Paulin Hansen (Proc. ACM Hum. Comput. Interact., 2025)

CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations. - Adtian Atienza; Gouthamaan Manimaran; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2025)

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA. - Adtian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2025)

Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation. - Adrian Atienza; Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Peter K. Jacobsen; Jakob E. Bardram (CoRR, 2025)