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Sukanta Sabut
Sukanta Sabut
School of Electronics Engineering, KIIT University, Bhubaneswar, INDIA
Zweryfikowany adres z kiit.ac.in
Tytuł
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Cytowane przez
Rok
Multiresolution wavelet transform based feature extraction and ECG classification to detect cardiac abnormalities
S Sahoo, B Kanungo, S Behera, S Sabut
Measurement 108, 55-66, 2017
2502017
Functional electrical stimulation of dorsiflexor muscle: effects on dorsiflexor strength, plantarflexor spasticity, and motor recovery in stroke patients
SK Sabut, C Sikdar, R Kumar, M Mahadevappa
NeuroRehabilitation 29 (4), 393-400, 2011
2202011
Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques
A Das, UR Acharya, SS Panda, S Sabut
Cognitive Systems Research 54, 165-175, 2019
1892019
Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
S Sabut, A Subudhi, M Dash
Biocybernetics and Biomedical Engineering 40 (1), 277-289, 2020
1672020
Restoration of gait and motor recovery by functional electrical stimulation therapy in persons with stroke
SK Sabut, C Sikdar, R Mondal, R Kumar, M Mahadevappa
Disability and Rehabilitation 32 (19), 1594-1603, 2010
1562010
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
S Sahoo, M Dash, S Behera, S Sabut
Innovation and Research in BioMedical engineering (IRBM) 41 (4), 185-194, 2020
1252020
De-noising of ECG Signal and QRS Detection using Hilbert Transform and Adaptive Thresholding, 2016
S Sahoo, P Biswal, T Das, S S K
Procedia Technology 25, 68-75, 2016
1032016
Effect of functional electrical stimulation on the effort and walking speed, surface electromyography activity, and metabolic responses in stroke subjects
SK Sabut, PK Lenka, R Kumar, M Mahadevappa
Journal of Electromyography and Kinesiology 20 (6), 1170-1177, 2010
1002010
Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier
SK Sabut, M Mohanty, P Biswal, S Sahoo
Biomedical Signal Processing and Control 44 (18), 200-208, 2018
642018
Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images
A Subudhi, UR Acharya, M Dash, S Jena, S Sabut
Computers in Biology and Medicine 103, 116-129, 2018
562018
Automatic classification of cardiac arrhythmias based on hybrid features and decision tree algorithm
S Sahoo, A Subudhi, M Dash, S Sabut
International Journal of Automation and Computing 17 (4), 551-561, 2020
552020
Kernelized fuzzy C-means clustering with adaptive thresholding for segmenting liver tumors
SK Sabut, A Das
Procedia Computer Science 92, 389-395, 2016
542016
Improvement of gait & muscle strength with functional electrical stimulation in sub-acute & chronic stroke patients
SK Sabut, C Sikdar, R Kumar, M Mahadevappa
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
542011
Detection of liver cancer using modified fuzzy clustering and decision tree classifier in CT images
A Das, P Das, SS Panda, S Sabut
Pattern Recognition and Image Analysis 29, 201-211, 2019
532019
Automatic detection of ischemic stroke using higher order spectra features in brain MRI images
UR Acharya, KM Meiburger, O Faust, JEW Koh, SL Oh, EJ Ciaccio, ...
Cognitive systems research 58, 134-142, 2019
452019
ECG beat classification using empirical mode decomposition and mixture of features
S Sahoo, M Mohanty, B S, SK Sabut
Journal of Medical Engineering & Technology 41 (8), 652-661, 2017
432017
DWT-based feature extraction and classification for motor imaginary EEG signals
S Pattnaik, M Dash, SK Sabut
2016 International Conference on Systems in Medicine and Biology (ICSMB …, 2016
372016
A systematic review on design technology and application of polycentric prosthetic knee in amputee rehabilitation
RK Mohanty, RC Mohanty, SK Sabut
Physical and Engineering Sciences in Medicine 43 (3), 781-798, 2020
362020
Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in Brain MRI,
A Subudhi, SS Jena, SK Sabut
Medical & Biological Engineering & Computing 56 (5), 795-807, 2018
312018
Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network.
SK Sabut, P Om, M BSP, M Monalisa
Physical and Engineering Sciences in Medicine 44, 135-145, 2021
302021
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