Sadasivan Puthusserypady
Cited by
Cited by
Sadasivan Puthusserypady. Chaotic dynamics of sea clutter
S Haykin, S Puthusserypady
John Wiley&Sons, Inc, 1999
Entropies for detection of epilepsy in EEG.
N Kannathal, ML Choo, UR Acharya, PK Sadasivan
Computer methods and programs in biomedicine 80 (3), 187, 2005
A deep learning approach for real-time detection of atrial fibrillation
RS Andersen, A Peimankar, S Puthusserypady
Expert Systems with Applications 115, 465-473, 2019
Nonlinear analysis of EEG signals at different mental states
K Natarjan, R Acharya U, F Alias, T Tiboleng, SK Puthusserypady
BioMed. Eng. OnLine 3 (7), 2004
Characterization of EEG-A comparative study
N Kannathal, UR Acharya, CM Lim, PK Sadasivan
Computer methods and Programs in Biomedicine 80 (1), 17-23, 2005
An end-to-end deep learning approach to MI-EEG signal classification for BCIs
H Dose, JS Møller, HK Iversen, S Puthusserypady
Expert Systems with Applications 114, 532-542, 2018
An asynchronous P300 BCI with SSVEP-based control state detection
RC Panicker, S Puthusserypady, Y Sun
IEEE Transactions on Biomedical Engineering 58 (6), 1781-1788, 2011
Detection of seizure activity in EEG by an artificial neural network: a preliminary study
N Pradhan, PK Sadasivan, GR Arunodaya
Computers and Biomedical Research 29 (4), 303-313, 1996
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
MA Khan, R Das, HK Iversen, S Puthusserypady
Computers in biology and medicine 123, 103843, 2020
DENS-ECG: A deep learning approach for ECG signal delineation
A Peimankar, S Puthusserypady
Expert systems with applications 165, 113911, 2021
SVD based technique for noise reduction in electroencephalographic signals
PK Sadasivan, DN Dutt
Signal Processing 55 (2), 179-189, 1996
Cardiac state diagnosis using adaptive neuro-fuzzy technique
N Kannathal, CM Lim, UR Acharya, PK Sadasivan
Medical Engineering & Physics 28 (8), 809-815, 2006
Performance enhancement of DS/CDMA system using chaotic complex spreading sequence
AP Kurian, S Puthusserypady, SM Htut
IEEE Transactions on wireless communications 4 (3), 984-989, 2005
Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHD
DA Rohani, HBD Sorensen, S Puthusserypady
2014 36th annual international conference of the IEEE engineering in …, 2014
Adaptation in P300 Brain–Computer Interfaces: A Two-Classifier Cotraining Approach
RC Panicker, S Puthusserypady, Y Sun
Biomedical Engineering, IEEE Transactions on 57 (12), 2927-2935, 2010
Multilayer perceptrons for the classification of brain computer interface data
D Balakrishnan, S Puthusserypady
Proceedings of the IEEE 31st Annual Northeast Bioengineering Conference …, 2005
Brain computer interface for neuro-rehabilitation with deep learning classification and virtual reality feedback
T Karácsony, JP Hansen, HK Iversen, S Puthusserypady
Proceedings of the 10th Augmented Human International Conference 2019, 1-8, 2019
A comprehensive performance analysis of EEMD-BLMS and DWT-NN hybrid algorithms for ECG denoising
K Kærgaard, SH Jensen, S Puthusserypady
Biomedical Signal Processing and Control 25, 178-187, 2016
Neurofeedback therapy for enhancing visual attention: state-of-the-art and challenges
M Ordikhani-Seyedlar, MA Lebedev, HBD Sorensen, S Puthusserypady
Frontiers in neuroscience 10, 352, 2016
H/sup/spl infin//adaptive filters for eye blink artifact minimization from electroencephalogram
S Puthusserypady, T Ratnarajah
IEEE signal processing letters 12 (12), 816-819, 2005
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