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Sadasivan Puthusserypady
Sadasivan K. Puthusserypady
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2020 – today
- 2024
- [c51]Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady:
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. IJCAI 2024: 3661-3668 - [i6]Gouthamaan Manimaran, Sadasivan Puthusserypady, Helena Dominguez, Adrian Atienza, Jakob E. Bardram
:
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis. CoRR abs/2405.19348 (2024) - [i5]Adrian Atienza, Jakob E. Bardram
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. CoRR abs/2407.17073 (2024) - [i4]Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady:
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation. CoRR abs/2407.20258 (2024) - 2023
- [j34]Devender Kumar
An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm. Expert Syst. Appl. 211: 118540 (2023) - [c50]Gouthamaan Manimaran, Sadasivan Puthusserypady, Helena Dominguez
Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals. CinC 2023: 1-4 - [i3]Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady:
Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing. CoRR abs/2305.10347 (2023) - [i2]Adrian Atienza, Jakob E. Bardram
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning. CoRR abs/2309.07526 (2023) - 2022
- [j33]Devender Kumar
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection. Comput. Methods Programs Biomed. 221: 106899 (2022) - [j32]Masud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, Uffe Kock Wiil
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches. Int. J. Medical Informatics 163: 104790 (2022) - [c49]Alex Efstathios Voinas
Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation. BCI 2022: 1-5 - [c48]Cihan Uyanik
Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface. BIODEVICES 2022: 134-141 - [c47]Cihan Uyanik
Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation. EMBC 2022: 715-719 - [c46]Baosheng James Hou, John Paulin Hansen
Feasibility of a Device for Gaze Interaction by Visually-Evoked Brain Signals. ETRA 2022: 62:1-62:7 - 2021
- [j31]Abdolrahman Peimankar
DENS-ECG: A deep learning approach for ECG signal delineation. Expert Syst. Appl. 165: 113911 (2021) - [j30]Gerald Hirsch, Søren Hjøllund Jensen, Erik S. Poulsen, Sadasivan Puthusserypady
Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach. Expert Syst. Appl. 169: 114452 (2021) - [c45]Simon Dahl Thorsager Olesen, Rig Das
Hybrid EEG-EOG-based BCI system for Vehicle Control. BCI 2021: 1-6 - [c44]Mario Corral Bolaños
Filter bank approach for enhancement of supervised Canonical Correlation Analysis methods for SSVEP-based BCI spellers. EMBC 2021: 337-340 - [c43]Muhammad Ahmed Khan, Bayram Metin Bayram, Rig Das
Electromyography and Inertial Motion Sensors Based Wearable Data Acquisition System for Stroke Patients: A Pilot Study. EMBC 2021: 6953-6956 - 2020
- [j29]Liam Ratcliffe, Sadasivan Puthusserypady:
Importance of Graphical User Interface in the design of P300 based Brain-Computer Interface systems. Comput. Biol. Medicine 117: 103599 (2020) - [j28]Muhammad Ahmed Khan, Rig Das
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. Comput. Biol. Medicine 123: 103843 (2020) - [c42]Jacopo M. Araujo, Guangtao Zhang
Exploring Eye-Gaze Wheelchair Control. ETRA Adjunct 2020: 16:1-16:8 - [c41]Baosheng James Hou, Per Bækgaard
GIMIS: Gaze Input with Motor Imagery Selection. ETRA Adjunct 2020: 18:1-18:10 - [c40]Rig Das
FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach. SMC 2020: 1275-1279 - [i1]Abdolrahman Peimankar, Sadasivan Puthusserypady:
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation. CoRR abs/2005.08689 (2020)
2010 – 2019
- 2019
- [j27]Rasmus S. Andersen, Abdolrahman Peimankar
A deep learning approach for real-time detection of atrial fibrillation. Expert Syst. Appl. 115: 465-473 (2019) - [c39]Tamás Karácsony
Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback. AH 2019: 22:1-22:8 - [c38]Andrei Chiuzbaian, Jakob Jakobsen, Sadasivan Puthusserypady:
Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface. BCI 2019: 1-5 - [c37]Soren Moller Christensen, Nicklas Stubkjar Holm, Sadasivan Puthusserypady:
An Improved Five Class MI Based BCI Scheme for Drone Control Using Filter Bank CSP. BCI 2019: 1-6 - [c36]Ciarán McGeady, Aleksandra Vuckovic, Sadasivan Puthusserypady:
A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study. BCI 2019: 1-6 - [c35]Tine Holmbæck Petersen, Sadasivan Puthusserypady:
Assessing tDCS Placebo Effects on EEG and Cognitive Tasks. EMBC 2019: 4509-4512 - [c34]Ali Mohebbi, Jens Magelund Tarp, Morten Lind Jensen
Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data. EMBC 2019: 7185-7188 - [c33]Abdolrahman Peimankar
An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram. ICASSP 2019: 1284-1288 - [c32]Paula Sánchez López, Helle K. Iversen, Sadasivan Puthusserypady:
An Efficient Multi-Class MI Based BCI Scheme Using Statistical Fusion Techniques of Classifiers. TENCON 2019: 378-382 - [c31]Abdolrahman Peimankar
Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning. TENCON 2019: 383-388 - [c30]Sachin Prathaban, Vishal Sisodia, Sadasivan Puthusserypady:
Consequence of Stress on Cognitive Performance: An EEG and HRV Study. TENCON 2019: 1969-1974 - 2018
- [j26]Ana P. Costa, Jakob S. Møller, Helle K. Iversen
An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm. Comput. Biol. Medicine 103: 24-33 (2018) - [j25]Hauke Dose, Jakob S. Møller
An end-to-end deep learning approach to MI-EEG signal classification for BCIs. Expert Syst. Appl. 114: 532-542 (2018) - [c29]Helle K. Iversen
Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation. EMBC 2018: 1960-1963 - [c28]Abdolrahman Peimankar
Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation. EUSIPCO 2018: 66-70 - [c27]Hauke Dose, Jakob S. Møller, Sadasivan Puthusserypady, Helle K. Iversen:
A Deep Learning MI - EEG Classification Model for BCIs. EUSIPCO 2018: 1676-1679 - [c26]Ana P. Costa, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady:
Adaptive CSP for User Independence in MI-BCI Paradigm for Upper Limb Stroke Rehabilitation. GlobalSIP 2018: 420-423 - 2017
- [j24]Mario Guarascio, Sadasivan Puthusserypady
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. 36: 63-75 (2017) - [c25]Rasmus S. Andersen, Erik S. Poulsen, Sadasivan Puthusserypady:
A novel approach for automatic detection of Atrial Fibrillation based on Inter Beat Intervals and Support Vector Machine. EMBC 2017: 2039-2042 - [c24]Cristina Leza, Sadasivan Puthusserypady:
Detection of user independent single trial ERPs in Brain Computer Interfaces: An adaptive spatial filtering approach. EMBC 2017: 2243-2246 - [c23]Iben H. Bruun, Semira M. S. Hissabu, Erik S. Poulsen, Sadasivan Puthusserypady:
Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability. EMBC 2017: 3981-3984 - 2016
- [j23]Kevin Kaergaard, Søren Hjøllund Jensen, Sadasivan Puthusserypady
A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising. Biomed. Signal Process. Control. 25: 178-187 (2016) - [c22]Nicolai Westergren, Rasmus L. Bendtsen, Troels W. Kjær, Carsten E. Thomsen, Sadasivan Puthusserypady
Steady state visual evoked potential based brain-computer interface for cognitive assessment. EMBC 2016: 1508-1511 - [c21]Jonas Isaksen
A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control. EMBC 2016: 1512-1515 - [c20]Eleni Chiou, Sadasivan Puthusserypady
Spatial filter feature extraction methods for P300 BCI speller: A comparison. SMC 2016: 3859-3863 - 2015
- [c19]Abdulla Ali, Sadasivan Puthusserypady
A 3D learning playground for potential attention training in ADHD: A brain computer interface approach. EMBC 2015: 67-70 - [c18]Ali Mohebbi, Signe K. D. Engelsholm, Sadasivan Puthusserypady
A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential. EMBC 2015: 602-605 - [c17]Kevin Kaergaard, Søren Hjøllund Jensen, Sadasivan Puthusserypady
ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms. EMBC 2015: 3811-3814 - 2014
- [j22]Ting Wang, Sheng-Uei Guan, Sadasivan Puthusserypady, Prudence W. H. Wong:
Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning. Int. J. Appl. Evol. Comput. 5(2): 37-57 (2014) - [c16]Darius Adam Rohani
Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD. EMBC 2014: 3606-3609 - [c15]Mehdi Ordikhani-Seyedlar, Helge B. D. Sørensen
SSVEP-modulation by covert and overt attention: Novel features for BCI in attention neuro-rehabilitation. EMBC 2014: 5462-5465 - 2013
- [j21]Darius A. Rohani
BCI using imaginary movements: The simulator. Comput. Methods Programs Biomed. 111(2): 300-307 (2013) - [c14]Adnan Vilic, Troels W. Kjær, Carsten E. Thomsen, Sadasivan Puthusserypady
DTU BCI speller: An SSVEP-based spelling system with dictionary support. EMBC 2013: 2212-2215 - [c13]Thomas Bender, Troels W. Kjær, Carsten E. Thomsen, Helge B. D. Sørensen
Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training. EMBC 2013: 4279-4282 - 2011
- [j20]Rajesh Chandrasekhara Panicker, Sadasivan Puthusserypady
An Asynchronous P300 BCI With SSVEP-Based Control State Detection. IEEE Trans. Biomed. Eng. 58(6): 1781-1788 (2011) - 2010
- [j19]Wenting Mo, Sheng Uei Guan, Sadasivan Puthusserypady:
Ordered Incremental Multi-Objective Problem Solving Based on Genetic Algorithms. Int. J. Appl. Evol. Comput. 1(2): 1-27 (2010) - [j18]Sadasivan Puthusserypady
Robust Estimation of HDR in fMRI using HINFINITY Filters. IEEE Trans. Biomed. Eng. 57(5): 1133-1142 (2010) - [j17]Rajesh Chandrasekhara Panicker, Sadasivan Puthusserypady
Adaptation in P300 Brain-Computer Interfaces: A Two-Classifier Cotraining Approach. IEEE Trans. Biomed. Eng. 57(12): 2927-2935 (2010) - [c12]Rajesh Chandrasekhara Panicker, Sadasivan Puthusserypady, Ananda P. Pryana, Ying Sun:
Asynchronous P300 BCI: SSVEP-based control state detection. EUSIPCO 2010: 934-938
2000 – 2009
- 2009
- [c11]Yang Lu, Feifei Gao, Sadasivan Puthusserypady
Semi-Blind Channel Estimation for Space-Time Coded Amplify-and-Forward Relay Networks. GLOBECOM 2009: 1-5 - [e2]Jong-Hwan Kim, Shuzhi Sam Ge, Prahlad Vadakkepat
Progress in Robotics - FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009. Proceedings. Communications in Computer and Information Science 44, 2009, ISBN 978-3-642-03985-0 [contents] - [e1]Jong-Hwan Kim, Shuzhi Sam Ge, Prahlad Vadakkepat, Norbert Jesse, Abdullah Al Mamun, Sadasivan Puthusserypady, Ulrich Rückert, Joaquin Sitte, Ulf Witkowski, Ryohei Nakatsu, Thomas Bräunl, Jacky Baltes, John Eric Anderson, Ching-Chang Wong, Igor M. Verner, David J. Ahlgren:
Advances in Robotics, FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009. Proceedings. Lecture Notes in Computer Science 5744, Springer 2009, ISBN 978-3-642-03982-9 [contents] - 2008
- [j16]Ajeesh P. Kurian, Sadasivan Puthusserypady
Self-synchronizing chaotic stream ciphers. Signal Process. 88(10): 2442-2452 (2008) - [j15]Huaien Luo, Sadasivan Puthusserypady
Analysis of fMRI Data With Drift: Modified General Linear Model and Bayesian Estimator. IEEE Trans. Biomed. Eng. 55(5): 1504-1511 (2008) - [j14]Tze Yang Ng, Lock Yue Chew
Error Correction With Chaotic Switching Between Convolutional Codecs. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(11): 3655-3662 (2008) - 2007
- [j13]Sadasivan Puthusserypady
Extraction of fetal electrocardiogram using H ∞ adaptive algorithms. Medical Biol. Eng. Comput. 45(10): 927-937 (2007) - [j12]Huaien Luo, Sadasivan Puthusserypady
Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses. Signal Process. 87(11): 2810-2822 (2007) - [j11]Huaien Luo, Sadasivan Puthusserypady
Estimation of the Hemodynamic Response of fMRI Data Using RBF Neural Network. IEEE Trans. Biomed. Eng. 54(8): 1371-1381 (2007) - [j10]Huaien Luo, Sadasivan Puthusserypady
fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach. IEEE Trans. Biomed. Eng. 54(9): 1621-1630 (2007) - [c10]Rajesh Chandrasekhara Panicker, Sadasivan Puthusserypady:
A Constrained Genetic Algorithm for Efficient Dimensionality Reduction for Pattern Classification. CIS 2007: 424-427 - [c9]Zuo Ziqiang, Sadasivan Puthusserypady:
Analysis of Schizophrenic EEG Synchrony using Empirical Mode Decomposition. DSP 2007: 131-134 - 2006
- [j9]Huaien Luo, Sadasivan Puthusserypady
Spatio-temporal Modeling and Analysis of Fmri Data Using Narx Neural Network. Int. J. Neural Syst. 16(2): 139-149 (2006) - [j8]Sadasivan Puthusserypady
Robust adaptive techniques for minimization of EOG artefacts from EEG signals. Signal Process. 86(9): 2351-2363 (2006) - [j7]Ajeesh P. Kurian, Sadasivan Puthusserypady
Performance Analysis of Nonlinear-Predictive-Filter-Based Chaotic Synchronization. IEEE Trans. Circuits Syst. II Express Briefs 53-II(9): 886-890 (2006) - [j6]C. Mahendra, Sadasivan Puthusserypady
Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method. IEEE Trans. Neural Networks 17(6): 1592-1605 (2006) - [c8]Ajeesh P. Kurian, Sadasivan Puthusserypady
Unscented Kalman Filter and Particle Filter for Chaotic Synchronization. APCCAS 2006: 1830-1834 - [c7]N. Kannathal, Sadasivan K. Puthusserypady, Lim Choo Min:
Elman neural networks for dynamic modeling of epileptic EEG. EMBC 2006: 6145-6148 - [c6]Huaien Luo, Sadasivan Puthusserypady:
NARX Neural Networks for Dynamical Modelling of fMRI Data. IJCNN 2006: 542-546 - 2005
- [j5]Sadasivan Puthusserypady
H∞ adaptive filters for eye blink artifact minimization from electroencephalogram. IEEE Signal Process. Lett. 12(12): 816-819 (2005) - [j4]Huaien Luo, Sadasivan Puthusserypady
A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(12): 2699-2706 (2005) - [j3]Ajeesh P. Kurian, Sadasivan Puthusserypady
Performance enhancement of DS/CDMA system using chaotic complex spreading sequence. IEEE Trans. Wirel. Commun. 4(3): 984-989 (2005) - 2004
- [j2]Guo Linlin, Sadasivan Puthusserypady
Performance analysis of Volterra-based nonlinear adaptive blind multiuser detectors for DS-CDMA systems. Signal Process. 84(10): 1941-1956 (2004) - [c5]Huaien Luo, Sadasivan Puthusserypady:
Neural Networks for fMRI Spatio-temporal Analysis. ICONIP 2004: 1292-1297 - 2003
- [c4]Du Lin, Sadasivan Puthusserypady
Parallel interference cancellation scheme based on adaptive MMSE detector for DS-CDMA systems. PIMRC 2003: 1541-1545 - [c3]Su Myat Htut, Sadasivan Puthusserypady:
A novel CDP DS/SS system with 2-dimensional Ikeda map chaotic sequence. PIMRC 2003: 2734-2738 - [c2]Guo Linlin, Sadasivan Puthusserypady
Performance analysis of Volterra-based nonlinear blind multiuser detector for DS-CDMA systems. WCNC 2003: 196-201 - 2002
- [c1]Du Lin, Sadasivan Puthusserypady:
A novel multiuser detection scheme combining adaptive MMSE receiver and parallel interference canceller for near-far resistance. MWCN 2002: 119-122
1990 – 1999
- 1996
- [j1]Nithyananda Pradhan, Sadasivan K. Puthusserypady
The nature of dominant lyapunov exponent and attractor dimension curves of eeg in sleep. Comput. Biol. Medicine 26(5): 419-428 (1996)
Coauthor Index
Helle K. Iversen
aka: Helle Klingenberg Iversen
aka: Helle Klingenberg Iversen
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last updated on 2024-10-21 21:26 CEST by the dblp team
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