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Kaniska Samanta
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Cross-subject motor imagery tasks EEG signal classification employing multiplex weighted visibility graph and deep feature extraction
K Samanta, S Chatterjee, R Bose
IEEE Sensors Letters 4 (1), 1-4, 2019
432019
Cross-correlation based feature extraction from EMG signals for classification of neuro-muscular diseases
R Bose, K Samanta, S Chatterjee
2016 international conference on intelligent control power and …, 2016
332016
Sensing wettability condition of insulation surface employing convolutional neural network
S Chatterjee, SS Roy, K Samanta, S Modak
IEEE Sensors Letters 4 (7), 1-4, 2020
222020
Detection of myopathy and ALS electromyograms employing modified window Stockwell transform
S Chatterjee, K Samanta, NR Choudhury, R Bose
IEEE Sensors Letters 3 (7), 1-4, 2019
222019
Cross spectrum aided deep feature extraction based neuromuscular disease detection framework
SS Roy, K Samanta, S Modak, S Chatterjee, R Bose
IEEE Sensors Letters 4 (6), 1-4, 2020
142020
Detection of focal EEG signals employing weighted visibility graph
S Modak, SS Roy, K Samanta, S Chatterjee, S Dey, R Bhowmik, R Bose
2020 International Conference on Computer, Electrical & Communication …, 2020
112020
Augmenting neuromuscular disease detection using optimally parameterized weighted visibility graph
R Bose, K Samanta, S Modak, S Chatterjee
IEEE journal of biomedical and health informatics 25 (3), 685-692, 2020
92020
Motor imagery classification enhancement with concurrent implementation of spatial filtration and modified stockwell transform
R Bose, K Samanta, S Chatterjee, S Bhattacharyya, A Khasnobish
Bioelectronics and Medical Devices, 793-817, 2019
92019
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform
K Samanta, S Chatterjee, R Bose
International Journal of Imaging Systems and Technology 32 (4), 1251-1262, 2022
82022
Hand movement recognition using cross spectrum image analysis of EMG signals-A deep learning approach
SS Roy, K Samanta, S Chatterjee, S Dey, A Nandi, R Bhowmik, S Mondal
2020 National Conference on Emerging Trends on Sustainable Technology and …, 2020
82020
Diagnosis of induction motor faults using frequency occurrence image plots—a deep learning approach
A Nandi, S Biswas, K Samanta, SS Roy, S Chatterjee
2019 International Conference on Electrical, Electronics and Computer …, 2019
82019
Neuromuscular disease detection employing deep feature extraction from cross spectrum images of electromyography signals
K Samanta, SS Roy, S Modak, S Chatterjee, R Bose
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
72020
Autocorrelation based feature extraction for bearing fault detection in induction motors
S Dey, SS Roy, K Samanta, S Modak, S Chatterjee
2019 International Conference on Electrical, Electronics and Computer …, 2019
62019
Transient analysis of mechanically switched capacitors with and without damping network connected to AC grid
R Bose, K Samanta, K Ghosh, R Bandyopadhyay, S Chatterjee
2016 2nd International Conference on Control, Instrumentation, Energy …, 2016
42016
An Automated Detection of Amyotrophic Lateral Sclerosis from Resting-State MEG Data Using 3D Deep Convolutional Neural Network
K Samanta, S Roy, V Marchand-Pauvert, S Dora, S Duguez, M Singh, ...
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
2023
Detection of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifs
SS Roy, S Modak, K Samanta, S Chatterjee, R Bose
Computer-aided Design and Diagnosis Methods for Biomedical Applications, 32, 2021
2021
A deep learning framework for emotion recognition using improved time–frequency image analysis of electroencephalography signals
K Samanta, S Chatterjee, R Bose
Modelling and Analysis of Active Biopotential Signals in Healthcare 2, 28, 2020
2020
Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks............................................................. RS McGinnis, EW McGinnis …
A Rezaei, M Khoshnam, C Menon, R Bose, K Samanta, S Modak, ...
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