Sukanta Kumar Sabut
Sukanta Kumar Sabut
Associate Professor
Sukant Sabut received the B.E. and M. Tech. degrees in Electronics Engineering from the VT University of Karnataka in 2005 and the Ph. D. degree in Medical Science and Technology from IIT Kharagpur, India, in 2011. From 1997 to 2007, he was a rehabilitation engineer in JSS Medical College and Hospital, Mysore. From 2013 to 2017, he was an Associate Professor of the Electronics Engineering Department, ITER, SOA University, Odisha. Presently working as a Associate Professor in School of Electronics Engineering,KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dr. Sabut is a member of IEEE, IET, IFESS, Rehabilitation Council of India, Biomedical Engineering Society of India, and the Institution of Engineers (India). He is the author of 82 articles in journals and conferences. He has over 20 years of experience in both teaching and research. He has guided 05 Ph.D and many M.Tech students. His research interests include biomedical signal and image analysis, Machine learning and neural and rehabilitation engineering. Edited Book: Sabut S.K. , Ray A.K. , Pati B. , Acharya U.R. Proc. of International Conference on Communication, Circuits, and Systems: IC3S 2020: Lecture Notes in Electrical Engineering , 2021, 728.
Profile Links
Email :
[email protected]
Scopus Id :
24829886700
Google Scholar :
https://scholar.google.co.in/citations?user=bPqVAhgAAAAJ&hl=en&oi=ao
Social Links
Educational Qualification
Ph.D
Research Interests
Medical Instrumentation, signal and image processing,Medical Electronics
Administrative Responsibility
Co-ordinator, Signal Processing Lab, SOEE,FIC: Speak and Search Lecture Series SOEE
Awards & Honours
• MHRD Institute Scholarship for Ph.D program in IIT Kharagpur • CSIR foreign travel grant to attain 14th IFESS 2009 Annual Conference, Seoul, Korea • 2nd Rankin M. Tech, Visvesvaraya Technological University, Belgaum, Karnataka
Memberships
IEEE, IET, IFESS, AMIE
Ph.D
Research Interests
Medical Instrumentation, signal and image processing,Medical Electronics
Administrative Responsibility
Co-ordinator, Signal Processing Lab, SOEE,FIC: Speak and Search Lecture Series SOEE
Awards & Honours
• MHRD Institute Scholarship for Ph.D program in IIT Kharagpur • CSIR foreign travel grant to attain 14th IFESS 2009 Annual Conference, Seoul, Korea • 2nd Rankin M. Tech, Visvesvaraya Technological University, Belgaum, Karnataka
Memberships
IEEE, IET, IFESS, AMIE
Journals/Conferences :
U. Raghavendra, TH Pham, A. Gudigar, V. Vidhya, B.N Rao, Sabut S.K. , JK Edward, J. Ciaccio, U.R. Acharya. Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images. Complex & Intelligent Systems, 7, 929-940, 2021. SCIE, IF 4.92
Faust, O., Koh, JEW., Jahmunah, V., Sabut, S.K., Ciaccio, E.J., Majid, A., Ali, A., Gregory Y. H. Lip, U Rajendra Acharya. Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images. Int. J. Environ. Res. Public Health, 18(15), 8059, 2021. IF 3.4
Mohanty, M. , Dash, M. , Biswal, P. , Sabut, S. K. Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms . Progress in Artificial Intelligence , 2021
Sabut, S. K., Pandey, O. , Mishra, B.S.P. , Mohanty, M. Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network.Physical and Engineering Sciences in Medicine, 44(1), 135-145, 2021. SCIE IF 1.43
Mohanty R.K., Mohanty R.C., Sabut S.K. A systematic review on design technology and application of polycentric prosthetic knee in amputee rehabilitation . Physical and Engineering Sciences in Medicine, 1-18, 2020. SCIE IF 1.43
Mohanty R.K., Biswal S., Sahoo P.K., Das S.P, Mohanty R.C., Sabut S.K. Clinical gait analysis of subjects with trans-femoral amputation using polycentric four-bar linkage prosthetic knee joint . Journal of Mechanics in Medicine and Biology 20(05), 2050021, 2020. SCIE IF 0.82
Sahoo S., Dash M., Behera S., Sabut S.K. Machine learning approach to detect cardiac arrhythmias in ECG signals: a survey. IRBM - Innovation and Research in BioMedical Engineering, accepted 2020. SCI, IF 1.86
Sahoo, S., Subudhi A., Dash M., Sabut, S.K. Automatic classification of cardiac arrhythmias based on hybrid features and decision tree algorithm. International Journal of Automation and Computing, 17(4), pp. 551–561, 2020. IF 1.65
Subudhi A., Dash M., Sabut S.K. Automated segmentation and classification of brain stroke using expectation maximization and random forest classifier. Biocybernetics and Biomedical Engineering, 40(1), pp. 277-289, 2020. SCI, IF 2.53
Mohanty M. Biswal P., Sabut S.K. Machine learning approach to recognize ventricular arrhythmias using VMD based features. Multidimensional Systems
and Signal Processing, 31(1):49-71, 2020. SCI, IF 2.3
Sahoo S., Mohanty M., Sabut S.K. Automated ECG beat classification using DWT and Hilbert transform-based PCA-SVM classifier. International Journal of Biomedical Engineering and Technology, 32(3), 2020. IF 1.01
Das A., Acharya U.R., Panda S.S., Sabut S.K., Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. Cognitive Systems Research, 54, 165-175, 2019. SCI, IF 1.42
Acharya U.R., Meiburger K.M, Faust O., Koh J.W., Oh S.L., Ciaccio E.J., Subudhi A., Sabut S.K. Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. Cognitive Systems Research, 58, pp. 134-142, 2019. SCI, IF 1.42
Babu, K.S., Ravi Kumar, Y.B., Sabut, S. Decision trees for segmentation and assessment of wound healing process of diabetic patients. Biomedical Engineering - Applications, Basis and Communications, 31(4), 1950029, 2019. IF 0.63
Das A., Panda S.S., Sabut S.K. Detection of liver cancer using modified fuzzy clustering and RF classifier in CT image. Pattern Recognition and Image Analysis, 29(2), pp. 201-211, 2019. IF 1.24
Subudhi A., Jena S.S., Sabut S.K. Automated detection of brain stroke in MRI with hybrid fuzzy c-means clustering and random forest classifier, International Journal of Computational Intelligence and Applications, Vol. 18, No. 03, 1950018, 2019. IF 1.19
Mohanty M. Biswal P., and Sabut S.K. Ventricular tachycardia and fibrillation detection using DWT and decision tree classifier. Journal of Mechanics in Medicine & Biology, 19(1), 1-23, 2019. SCI, IF 0.82
Subudhi A., Acharya U.R., Dash M., Jena S., Sabut S.K., Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. Computers in Biology and Medicine, 103, 116-129, 2018. SCI, IF 2.3
Mohanty M., S. Sahoo, Biswal P., Sabut S.K. Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier, Biomedical Signal Processing and Control, 44, pp. 200-208, 2018. SCI, IF 2.94
Subudhi, A. Jena S.S, Sabut S.K. Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in Brain MRI. Medical & Biological Engineering & Computing, vol. 56(5), pp.795-807, 2018. SCI, IF 2.04
Babu K.S. A. Subudhi, and Sabut S.K. Segmentation of diabetic wound by multidimensional clustering for quantitative assessment of healing process. Current Medical Imaging Reviews, vol. 14, pp. 71-76, 2018. SCI IF 0.96
Subudhi, A. Jena S.S, P. Biswal, Sabut S.K. Segmentation and classification of ischemic stroke using optimized features in brain MRI. Biomedical Engineering: Applications, Basis and Communications, vol. 30(3), 2018. Scopus IF 0.64
Babu K.S, Nithya D.K, Sukanta Sabut, Efficient detection and classification of diabetic foot ulcer tissue using PSO technique. International Journal of Engineering &Technology, vol. 7 (3) 1006 -1010, 2018. Scopus
Das A., Panda S.S., Sabut S.K. Adaptive neuro-fuzzy clustering based texture analysis for classifying liver cancer on abdominal CT images. Int. J. of Computational Biology & Drug Design, vol. 11(3), 192-208, 2018. IF 0.21
Sahoo S., Biswal P, Behera S., Sabut S.K. Classification of heart rhythm disorders using time-frequency features and artificial neural networks. Int. J. of Medical Engineering & Informatics, vol. 10(4), 359-381, 2018. Scopus
Sahoo S., Kanungo B., Sabut S.K. Feature extraction based on multiresolution wavelet transform for abnormal morphologies in ECG classification. Measurement, vol. 108, pp.55-66, 2017. SCI, IF 3.36
Sahoo S., Mohanty M., S. Behera, Sabut S.K. ‘ECG beat classification using empirical mode decomposition and mixture of features. Journal of Medical Engineering & Technology, vol. 41(8), pp. 652-661, 2017. Scopus IF 1.2
Das A., Panda S.S., Sabut S.K. Delineation and classification of liver cancer using level set method in CT images. Biomedical Engineering, vol. 29(6), pp. 1-12, 2017. Scopus IF 0.64
Mohanty R.K. Sabut S.K. Mohanty R.C. Polycentric prosthetic knee joint: a review, Int. Journal of Engineering, Science and Mathematics, vol. 6(8), 2017.
Subudhi A, Pattnaik S., and Sabut S.K. Blood vessel extraction of diabetic retinopathy using optimized enhanced images and matched filter. Journal of Medical Imaging, vol. 3(4), 044003-07, 2016. Scopus
Sahoo S., P. Biswal, T. Das and Sabut S. K. De-noising of ECG Signal and QRS Detection using Hilbert transform and adaptive thresholding. Procedia Technology, vol. 25 , pp. 68-75, 2016. Scopus
Das A. and Sabut S.K. Kernelized fuzzy C-means clustering with adaptive thresholding for segmenting liver tumors. Procedia Computer Science, 92 , 389- 395, 2016.
Sarangi S., Majhi D. and Sabut S. K. Evaluation and comparison of retinal blood vessels extraction using edge detectors in diabetic retinopathy. Int. Journal of Signal and Imaging Systems Engineering, vol. 9(3), 174-183, 2016. Scopus IF 1.31
Sarangi S., Mohapatra A. and Sabut S. K. A comparative evaluation of diabetic retinal vascular structures using edge detection techniques. Int. Journal of Telemedicine and Clinical Practices, 1(1):111-120, 2015.
Mohapatra A., Sarangi S., Patnaik S., and Sabut S. K. Comparative study of corner and feature extractors for real-time object recognition in image processing. Journal of Information and Communication Convergence Engineering, 12(4):263-270, 2014. Scopus
Nayak A., Biswal B., Sabut S. K. Evaluation and comparison of motion, estimation algorithms for video compression. Int. Journal of Image, Graphics and Signal Processing 5(10):9-18, 2013.
Sabut S.K, S.D. Bhattacharya, Manjunatha M. Functional electrical stimulation on improving foot-drop gait in post-stroke rehabilitation: a review of its technology and clinical efficacy. Critical Reviews™ in Biomedical Engg., 41(2):149- 160,2013. Scopus IF 0.79
Sabut S.K, Manjunatha M. An EMG Control Noninvasive Functional electrical stimulation (FES) system for restoration of foot drops in stroke patients. Int. Journal of Biomedical Engg Technology, 12(1): 84-96, 2013. Scopus IF 1.01
Majhi D. & Sabut S. K. Edge detection of color image using split-gaussian function. Int. Journal of Electrical and Electronics Engineering Research, 2(2): 1-6, 2012.
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. Functional electrical stimulation of dorsiflexor muscle: effects on dorsiflexor strength, plantarflexor spasticity, and motor recovery in hemiplegic patients. NeuroRehabilitation, 29(4): 393-400, 2011. SCI IF 2.14
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. A portable neuroprosthesis for applications in gait rehabilitations with stroke patients. Int. Journal of Medical Engg. & Informatics, 3(2): 156-166, 2011. Scopus IF 0.36
Sabut S.K, Lenka P.K, Kumar R, Mahadevappa M. Effect of FES on the effort and walking speed, surface electromyography activity, and metabolic responses in stroke subjects. Journal of Electromyography Kinesiology, 20(6): 1170-1177, 2010. (Elsevier) SCI, IF 1.75
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. A comparison between sub-acute and chronic stroke subjects in motor recovery and walking ability with functional electrical stimulation therapy. Journal of Mechanics in Medicine and Biology, 11(5): 1165-1177, 2011. IF 0.85, SCI
SabutS.K, Kumar R, Manjunatha M. Design of a programmable multipattern FES system for restoring foot-drop in stroke rehabilitation. Journal of Medical Engg. Technology, 34(3):217-223, 2010. Scopus IF 1.2
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Development of a low-cost noninvasive neurostimulator for applications in post stroke hemiplegics. Int. Journal of Biomedical Engg. Technology, 4(3): 245-256, 2010. Scopus IF 1.01
Sabut S.K, Sikdar C, Mondal R, Kumar R, Manjunatha M. Restoration of gait and motor recovery by functional electrical stimulation (FES) therapy in persons with stroke. Disability & Rehabilitation, 32(19):1594-603, 2010. SCI, IF 2.04
Sabut S.K, Manjunatha M. A microcontroller based biomimetic stimulation envelope for correction of drop-foot in hemiplegics using FES. The Institution of Engineers, 90:3-6, 2009.
Conferences
Bandyopadhyay, A. , Kundu, I. , Chakraborty, A. , Kumar, A. , Sabut, S. Blood Donation Management System Using Android Application. Lecture Notes in Electrical Engineering, 728, LNEE, pp.265-271, 2021.
Ghosh, S. , Chakraborty, A. , Bandyopadhyay, A. , Kundu, I. , Sabut, S. Detecting Diseased Leaves Using Deep Learning, Lecture Notes in Electrical Engineering, 728 LNEE, pp.41-46, 2021.
N. Kar, B. Sahu, S. Sabut, S. Sahoo Effective ECG beat classification and decision support system using dual-tree complex wavelet transform, Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 109. 366-374, 2020.
Mohanty M., Subudhi A.K., Biswal P.K., Sabut S. An efficient classifier-based approach for early arrhythmia detection with feature reduction using ranker search algorithm. Advances in Intelligent Computing and Communication, Lecture Notes in Networks and Systems, vol 109. Springer, Singapore pp 313-320, 2020.
Mohanty M., Subudhi A., Biswal P., Sabut S.K. Detection of life-threatening ventricular arrhythmias using empirical mode decomposition. IEEE Int. Conf. on Applied Electromagnetics, Signal Processing and Communication (AESPC), Bhubaneswar, 2018.
Das A., S.S Panda, Sabut S.K. Detection of liver cancer using optimized techniques in CT scan images. IEEE Int. Conf. on Applied Electromagnetics, Signal Processing and Communication (AESPC), Bhubaneswar, 2018.
Mohanty M., Subudhi A., Biswal P., Sabut S.K. Classification of ventricular arrhythmias using DWT Based VMD features. 2 nd Int. Conf. on Data Science and Business Analytics (ICDSBA), Hunan, China. 2018.
M. Mohanty, P. Biswal, A. Subudhi, Sabut S.K. Evaluation of classifiers for recognition of ventricular arrhythmia using DWT based features. IEEE 2nd Int. Conf on Inventive Communication and Computational Technologies, Coimbatore, India (ICICCT), April, 2018.
Subudhi A. S.S. Jena, M. Mohanty, Sabut S.K. Computational intelligence approach for predicting ischemic stroke using brain MRI. IEEE 2nd Int. Conf on Inventive Communication and Computational Technologies, Coimbatore, India (ICICCT), April, 2018.
Wani S, Nalbalrwar S.L, Sabut S.K. Detection of epileptic seizure using wavelet transform and neural network classifier, Advances in Intelligent Systems and Computing, 810, pp. 739-747
Mohanty R., Sabut S.K., Mohanty R.C. Polycentric prosthetic knee joint: a review, Int. Conf. on Mathematical Sciences in Engineering Applications (ICMSEA-2017), Viskhapatnam, 2017.
Das A. , Panda S.S. and Sabut S.K., Detection of liver tumor in CT images using watershed and Hidden Markov random field expectation maximization algorithm, IEEE Conf. CICBA, Kolkata 2017.
Babu K.S., Ravi Kumar, Sabut S.K. An Improved watershed segmentation by flooding and pruning algorithm for assessment of diabetic wound healing. IEEE Int. Conf. on Recent Trends in Electronics, Information & Communication Technology, Bangalore, 2017.
Sahoo S.K., T. Das and Sabut S.K. Adaptive thresholding based EMD for delineation of QRS complex in ECG signal analysis. IEEE Int. Conf. on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016.
Subudhi S. J. Jena and Sabut S.K. Extraction of brain from MRI images by skull stripping using histogram partitioning with maximum entropy divergence. IEEE Int. Conf. on Comm. Signal Processing (ICCSP), Chennai, 2016.
Mohanty S., Dash M., Sabut S.K. DWT-based feature extraction and classification for motor imaginary EEG signals. IEEE ICSMB, IIT Kharagpur, Jan 2016.
Mohanty M. Biswal P., Sabut S.K. Feature extraction of ECG signals for detection of ventricular fibrillation. IEEE Int. Conf. on Man Machine Interface (MAMI) Dec. 2015.
Pattnaik S., Subudhi A, Sarangi S, and Sabut S.K. Detection and extraction of blood vessel of retinal images in diabetic retinopathy using filters. Int. Conf. on Biosignals, Imaging and Instrumentation (ICBSII-2015), pages 40-44, Chennai, India, 2015.
Pattnaik S., Manasa Dash, and Sabut S.K. Feature extraction and comparison of motor activities for cursor control. Int. Conf. on Biosignals, Imaging and Instrumentation (ICBSII-2015), Chennai, India, 2015.
Sahoo S.K, Subudhi A.K, Kanungo B, and Sabut S.K. Feature extraction of ECG signal based on wavelet transform for arrhythmia detection. IEEE Int. Conf. on Electrical, Electronics, Signals, Communication and Optimization (EESCO),Viskhapatnam, India, 2015.
Subudhi A.K, Jena S.S., and Sabut S.K. Delineation of infarct lesions by multi- dimensional fuzzy c-means of acute ischemic stroke patient. IEEE Int. Conf. on Electrical, Electronics, Signals, Communication and Optimization (EESCO),Viskhapatnam, India, 2015.
Sarangi S., Mohapatra A. and Sabut S.K. Comparative Analysis of Edge Detection Techniques for Extracting Blood Vessels in Diabetic Retinopathy. Proc. of Int. Conf. on Intelligent Computing, Comm & Devices, SOA University, India, p. 465-472, 2014.
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. Clinical Use of Functional Electrical Stimulation for Correction of Foot Drop: A Comparison between Subacute and Chronic Stroke Patients. Proc. of 33 rd Annual Int Conf IEEE-EMBS, USA, 2011.
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Surface EMG Analysis of Tibialis Anterior Muscle in Walking with FES in Stroke Subjects. Proc. of 32 nd Annual Int Conf IEEE-EMBS, Argentina, pp. 5839-5842, 2010.
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Design of an insole embedded foot pressure sensor controlled FES system for foot drop in stroke patients. IEEE Int. Conf. on Systems in Medicine and Biology, IIT Kharagpur, India, 2010.
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. Excitability of hemiparetic drop-foot: determination of strength-duration curves & its implication in FES. Proc. 14 th Annual Conf of the Int FES Society, Seoul, Korea, pp. 42, 2009.
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. A portable neuroprosthesis for application in gait rehabilitations with stroke patients. Proc. Int Conf on Biomed Instrum & Health Care Tech, Chennai, pp. 93-97. 2009.[Best paper award]
Sabut S.K, Kumar R, Sikdar C, Manjunatha M. Restoration of gait and motor recovery by means of neuromuscular electrical stimulation in hemiplegics. Proc 14 th Annual Conf of the Int FES Society, Seoul, Korea, pp. 61-64, 2009.
Sabut S.K, Manjunatha M. Neuroprosthesis-FES, an opportunity in clinical application for correction of drop-foot. Proc. 1 st Int Conf on Emerging Treads in Eng & Tech (ICETET), Nagpur, IEEE Explore Digital Library, pp. 950-953, 2008. [Best paper award].
Books :
Edited Book: Sabut, S.K. , Ray, A.K. , Pati, B. , Acharya, U.R. Proceedings of Internal Conference on Communication, Circuits and Systems (IC3S2020). Lecture Notes in Electrical Engineering, LNEE, 728, 2021.
U. Raghavendra, TH Pham, A. Gudigar, V. Vidhya, B.N Rao, Sabut S.K. , JK Edward, J. Ciaccio, U.R. Acharya. Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images. Complex & Intelligent Systems, 7, 929-940, 2021. SCIE, IF 4.92
Faust, O., Koh, JEW., Jahmunah, V., Sabut, S.K., Ciaccio, E.J., Majid, A., Ali, A., Gregory Y. H. Lip, U Rajendra Acharya. Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images. Int. J. Environ. Res. Public Health, 18(15), 8059, 2021. IF 3.4
Mohanty, M. , Dash, M. , Biswal, P. , Sabut, S. K. Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms . Progress in Artificial Intelligence , 2021
Sabut, S. K., Pandey, O. , Mishra, B.S.P. , Mohanty, M. Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network.Physical and Engineering Sciences in Medicine, 44(1), 135-145, 2021. SCIE IF 1.43
Mohanty R.K., Mohanty R.C., Sabut S.K. A systematic review on design technology and application of polycentric prosthetic knee in amputee rehabilitation . Physical and Engineering Sciences in Medicine, 1-18, 2020. SCIE IF 1.43
Mohanty R.K., Biswal S., Sahoo P.K., Das S.P, Mohanty R.C., Sabut S.K. Clinical gait analysis of subjects with trans-femoral amputation using polycentric four-bar linkage prosthetic knee joint . Journal of Mechanics in Medicine and Biology 20(05), 2050021, 2020. SCIE IF 0.82
Sahoo S., Dash M., Behera S., Sabut S.K. Machine learning approach to detect cardiac arrhythmias in ECG signals: a survey. IRBM - Innovation and Research in BioMedical Engineering, accepted 2020. SCI, IF 1.86
Sahoo, S., Subudhi A., Dash M., Sabut, S.K. Automatic classification of cardiac arrhythmias based on hybrid features and decision tree algorithm. International Journal of Automation and Computing, 17(4), pp. 551–561, 2020. IF 1.65
Subudhi A., Dash M., Sabut S.K. Automated segmentation and classification of brain stroke using expectation maximization and random forest classifier. Biocybernetics and Biomedical Engineering, 40(1), pp. 277-289, 2020. SCI, IF 2.53
Mohanty M. Biswal P., Sabut S.K. Machine learning approach to recognize ventricular arrhythmias using VMD based features. Multidimensional Systems
and Signal Processing, 31(1):49-71, 2020. SCI, IF 2.3
Sahoo S., Mohanty M., Sabut S.K. Automated ECG beat classification using DWT and Hilbert transform-based PCA-SVM classifier. International Journal of Biomedical Engineering and Technology, 32(3), 2020. IF 1.01
Das A., Acharya U.R., Panda S.S., Sabut S.K., Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. Cognitive Systems Research, 54, 165-175, 2019. SCI, IF 1.42
Acharya U.R., Meiburger K.M, Faust O., Koh J.W., Oh S.L., Ciaccio E.J., Subudhi A., Sabut S.K. Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. Cognitive Systems Research, 58, pp. 134-142, 2019. SCI, IF 1.42
Babu, K.S., Ravi Kumar, Y.B., Sabut, S. Decision trees for segmentation and assessment of wound healing process of diabetic patients. Biomedical Engineering - Applications, Basis and Communications, 31(4), 1950029, 2019. IF 0.63
Das A., Panda S.S., Sabut S.K. Detection of liver cancer using modified fuzzy clustering and RF classifier in CT image. Pattern Recognition and Image Analysis, 29(2), pp. 201-211, 2019. IF 1.24
Subudhi A., Jena S.S., Sabut S.K. Automated detection of brain stroke in MRI with hybrid fuzzy c-means clustering and random forest classifier, International Journal of Computational Intelligence and Applications, Vol. 18, No. 03, 1950018, 2019. IF 1.19
Mohanty M. Biswal P., and Sabut S.K. Ventricular tachycardia and fibrillation detection using DWT and decision tree classifier. Journal of Mechanics in Medicine & Biology, 19(1), 1-23, 2019. SCI, IF 0.82
Subudhi A., Acharya U.R., Dash M., Jena S., Sabut S.K., Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. Computers in Biology and Medicine, 103, 116-129, 2018. SCI, IF 2.3
Mohanty M., S. Sahoo, Biswal P., Sabut S.K. Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier, Biomedical Signal Processing and Control, 44, pp. 200-208, 2018. SCI, IF 2.94
Subudhi, A. Jena S.S, Sabut S.K. Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in Brain MRI. Medical & Biological Engineering & Computing, vol. 56(5), pp.795-807, 2018. SCI, IF 2.04
Babu K.S. A. Subudhi, and Sabut S.K. Segmentation of diabetic wound by multidimensional clustering for quantitative assessment of healing process. Current Medical Imaging Reviews, vol. 14, pp. 71-76, 2018. SCI IF 0.96
Subudhi, A. Jena S.S, P. Biswal, Sabut S.K. Segmentation and classification of ischemic stroke using optimized features in brain MRI. Biomedical Engineering: Applications, Basis and Communications, vol. 30(3), 2018. Scopus IF 0.64
Babu K.S, Nithya D.K, Sukanta Sabut, Efficient detection and classification of diabetic foot ulcer tissue using PSO technique. International Journal of Engineering &Technology, vol. 7 (3) 1006 -1010, 2018. Scopus
Das A., Panda S.S., Sabut S.K. Adaptive neuro-fuzzy clustering based texture analysis for classifying liver cancer on abdominal CT images. Int. J. of Computational Biology & Drug Design, vol. 11(3), 192-208, 2018. IF 0.21
Sahoo S., Biswal P, Behera S., Sabut S.K. Classification of heart rhythm disorders using time-frequency features and artificial neural networks. Int. J. of Medical Engineering & Informatics, vol. 10(4), 359-381, 2018. Scopus
Sahoo S., Kanungo B., Sabut S.K. Feature extraction based on multiresolution wavelet transform for abnormal morphologies in ECG classification. Measurement, vol. 108, pp.55-66, 2017. SCI, IF 3.36
Sahoo S., Mohanty M., S. Behera, Sabut S.K. ‘ECG beat classification using empirical mode decomposition and mixture of features. Journal of Medical Engineering & Technology, vol. 41(8), pp. 652-661, 2017. Scopus IF 1.2
Das A., Panda S.S., Sabut S.K. Delineation and classification of liver cancer using level set method in CT images. Biomedical Engineering, vol. 29(6), pp. 1-12, 2017. Scopus IF 0.64
Mohanty R.K. Sabut S.K. Mohanty R.C. Polycentric prosthetic knee joint: a review, Int. Journal of Engineering, Science and Mathematics, vol. 6(8), 2017.
Subudhi A, Pattnaik S., and Sabut S.K. Blood vessel extraction of diabetic retinopathy using optimized enhanced images and matched filter. Journal of Medical Imaging, vol. 3(4), 044003-07, 2016. Scopus
Sahoo S., P. Biswal, T. Das and Sabut S. K. De-noising of ECG Signal and QRS Detection using Hilbert transform and adaptive thresholding. Procedia Technology, vol. 25 , pp. 68-75, 2016. Scopus
Das A. and Sabut S.K. Kernelized fuzzy C-means clustering with adaptive thresholding for segmenting liver tumors. Procedia Computer Science, 92 , 389- 395, 2016.
Sarangi S., Majhi D. and Sabut S. K. Evaluation and comparison of retinal blood vessels extraction using edge detectors in diabetic retinopathy. Int. Journal of Signal and Imaging Systems Engineering, vol. 9(3), 174-183, 2016. Scopus IF 1.31
Sarangi S., Mohapatra A. and Sabut S. K. A comparative evaluation of diabetic retinal vascular structures using edge detection techniques. Int. Journal of Telemedicine and Clinical Practices, 1(1):111-120, 2015.
Mohapatra A., Sarangi S., Patnaik S., and Sabut S. K. Comparative study of corner and feature extractors for real-time object recognition in image processing. Journal of Information and Communication Convergence Engineering, 12(4):263-270, 2014. Scopus
Nayak A., Biswal B., Sabut S. K. Evaluation and comparison of motion, estimation algorithms for video compression. Int. Journal of Image, Graphics and Signal Processing 5(10):9-18, 2013.
Sabut S.K, S.D. Bhattacharya, Manjunatha M. Functional electrical stimulation on improving foot-drop gait in post-stroke rehabilitation: a review of its technology and clinical efficacy. Critical Reviews™ in Biomedical Engg., 41(2):149- 160,2013. Scopus IF 0.79
Sabut S.K, Manjunatha M. An EMG Control Noninvasive Functional electrical stimulation (FES) system for restoration of foot drops in stroke patients. Int. Journal of Biomedical Engg Technology, 12(1): 84-96, 2013. Scopus IF 1.01
Majhi D. & Sabut S. K. Edge detection of color image using split-gaussian function. Int. Journal of Electrical and Electronics Engineering Research, 2(2): 1-6, 2012.
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. Functional electrical stimulation of dorsiflexor muscle: effects on dorsiflexor strength, plantarflexor spasticity, and motor recovery in hemiplegic patients. NeuroRehabilitation, 29(4): 393-400, 2011. SCI IF 2.14
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. A portable neuroprosthesis for applications in gait rehabilitations with stroke patients. Int. Journal of Medical Engg. & Informatics, 3(2): 156-166, 2011. Scopus IF 0.36
Sabut S.K, Lenka P.K, Kumar R, Mahadevappa M. Effect of FES on the effort and walking speed, surface electromyography activity, and metabolic responses in stroke subjects. Journal of Electromyography Kinesiology, 20(6): 1170-1177, 2010. (Elsevier) SCI, IF 1.75
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. A comparison between sub-acute and chronic stroke subjects in motor recovery and walking ability with functional electrical stimulation therapy. Journal of Mechanics in Medicine and Biology, 11(5): 1165-1177, 2011. IF 0.85, SCI
SabutS.K, Kumar R, Manjunatha M. Design of a programmable multipattern FES system for restoring foot-drop in stroke rehabilitation. Journal of Medical Engg. Technology, 34(3):217-223, 2010. Scopus IF 1.2
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Development of a low-cost noninvasive neurostimulator for applications in post stroke hemiplegics. Int. Journal of Biomedical Engg. Technology, 4(3): 245-256, 2010. Scopus IF 1.01
Sabut S.K, Sikdar C, Mondal R, Kumar R, Manjunatha M. Restoration of gait and motor recovery by functional electrical stimulation (FES) therapy in persons with stroke. Disability & Rehabilitation, 32(19):1594-603, 2010. SCI, IF 2.04
Sabut S.K, Manjunatha M. A microcontroller based biomimetic stimulation envelope for correction of drop-foot in hemiplegics using FES. The Institution of Engineers, 90:3-6, 2009.
Conferences
Bandyopadhyay, A. , Kundu, I. , Chakraborty, A. , Kumar, A. , Sabut, S. Blood Donation Management System Using Android Application. Lecture Notes in Electrical Engineering, 728, LNEE, pp.265-271, 2021.
Ghosh, S. , Chakraborty, A. , Bandyopadhyay, A. , Kundu, I. , Sabut, S. Detecting Diseased Leaves Using Deep Learning, Lecture Notes in Electrical Engineering, 728 LNEE, pp.41-46, 2021.
N. Kar, B. Sahu, S. Sabut, S. Sahoo Effective ECG beat classification and decision support system using dual-tree complex wavelet transform, Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 109. 366-374, 2020.
Mohanty M., Subudhi A.K., Biswal P.K., Sabut S. An efficient classifier-based approach for early arrhythmia detection with feature reduction using ranker search algorithm. Advances in Intelligent Computing and Communication, Lecture Notes in Networks and Systems, vol 109. Springer, Singapore pp 313-320, 2020.
Mohanty M., Subudhi A., Biswal P., Sabut S.K. Detection of life-threatening ventricular arrhythmias using empirical mode decomposition. IEEE Int. Conf. on Applied Electromagnetics, Signal Processing and Communication (AESPC), Bhubaneswar, 2018.
Das A., S.S Panda, Sabut S.K. Detection of liver cancer using optimized techniques in CT scan images. IEEE Int. Conf. on Applied Electromagnetics, Signal Processing and Communication (AESPC), Bhubaneswar, 2018.
Mohanty M., Subudhi A., Biswal P., Sabut S.K. Classification of ventricular arrhythmias using DWT Based VMD features. 2 nd Int. Conf. on Data Science and Business Analytics (ICDSBA), Hunan, China. 2018.
M. Mohanty, P. Biswal, A. Subudhi, Sabut S.K. Evaluation of classifiers for recognition of ventricular arrhythmia using DWT based features. IEEE 2nd Int. Conf on Inventive Communication and Computational Technologies, Coimbatore, India (ICICCT), April, 2018.
Subudhi A. S.S. Jena, M. Mohanty, Sabut S.K. Computational intelligence approach for predicting ischemic stroke using brain MRI. IEEE 2nd Int. Conf on Inventive Communication and Computational Technologies, Coimbatore, India (ICICCT), April, 2018.
Wani S, Nalbalrwar S.L, Sabut S.K. Detection of epileptic seizure using wavelet transform and neural network classifier, Advances in Intelligent Systems and Computing, 810, pp. 739-747
Mohanty R., Sabut S.K., Mohanty R.C. Polycentric prosthetic knee joint: a review, Int. Conf. on Mathematical Sciences in Engineering Applications (ICMSEA-2017), Viskhapatnam, 2017.
Das A. , Panda S.S. and Sabut S.K., Detection of liver tumor in CT images using watershed and Hidden Markov random field expectation maximization algorithm, IEEE Conf. CICBA, Kolkata 2017.
Babu K.S., Ravi Kumar, Sabut S.K. An Improved watershed segmentation by flooding and pruning algorithm for assessment of diabetic wound healing. IEEE Int. Conf. on Recent Trends in Electronics, Information & Communication Technology, Bangalore, 2017.
Sahoo S.K., T. Das and Sabut S.K. Adaptive thresholding based EMD for delineation of QRS complex in ECG signal analysis. IEEE Int. Conf. on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016.
Subudhi S. J. Jena and Sabut S.K. Extraction of brain from MRI images by skull stripping using histogram partitioning with maximum entropy divergence. IEEE Int. Conf. on Comm. Signal Processing (ICCSP), Chennai, 2016.
Mohanty S., Dash M., Sabut S.K. DWT-based feature extraction and classification for motor imaginary EEG signals. IEEE ICSMB, IIT Kharagpur, Jan 2016.
Mohanty M. Biswal P., Sabut S.K. Feature extraction of ECG signals for detection of ventricular fibrillation. IEEE Int. Conf. on Man Machine Interface (MAMI) Dec. 2015.
Pattnaik S., Subudhi A, Sarangi S, and Sabut S.K. Detection and extraction of blood vessel of retinal images in diabetic retinopathy using filters. Int. Conf. on Biosignals, Imaging and Instrumentation (ICBSII-2015), pages 40-44, Chennai, India, 2015.
Pattnaik S., Manasa Dash, and Sabut S.K. Feature extraction and comparison of motor activities for cursor control. Int. Conf. on Biosignals, Imaging and Instrumentation (ICBSII-2015), Chennai, India, 2015.
Sahoo S.K, Subudhi A.K, Kanungo B, and Sabut S.K. Feature extraction of ECG signal based on wavelet transform for arrhythmia detection. IEEE Int. Conf. on Electrical, Electronics, Signals, Communication and Optimization (EESCO),Viskhapatnam, India, 2015.
Subudhi A.K, Jena S.S., and Sabut S.K. Delineation of infarct lesions by multi- dimensional fuzzy c-means of acute ischemic stroke patient. IEEE Int. Conf. on Electrical, Electronics, Signals, Communication and Optimization (EESCO),Viskhapatnam, India, 2015.
Sarangi S., Mohapatra A. and Sabut S.K. Comparative Analysis of Edge Detection Techniques for Extracting Blood Vessels in Diabetic Retinopathy. Proc. of Int. Conf. on Intelligent Computing, Comm & Devices, SOA University, India, p. 465-472, 2014.
Sabut S.K, Sikdar C, Kumar R, Manjunatha M. Clinical Use of Functional Electrical Stimulation for Correction of Foot Drop: A Comparison between Subacute and Chronic Stroke Patients. Proc. of 33 rd Annual Int Conf IEEE-EMBS, USA, 2011.
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Surface EMG Analysis of Tibialis Anterior Muscle in Walking with FES in Stroke Subjects. Proc. of 32 nd Annual Int Conf IEEE-EMBS, Argentina, pp. 5839-5842, 2010.
Sabut S.K, Kumar R, Lenka P.K, Manjunatha M. Design of an insole embedded foot pressure sensor controlled FES system for foot drop in stroke patients. IEEE Int. Conf. on Systems in Medicine and Biology, IIT Kharagpur, India, 2010.
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. Excitability of hemiparetic drop-foot: determination of strength-duration curves & its implication in FES. Proc. 14 th Annual Conf of the Int FES Society, Seoul, Korea, pp. 42, 2009.
Sabut S.K, Sikdar C, Kumar R, Singh P, Manjunatha M. A portable neuroprosthesis for application in gait rehabilitations with stroke patients. Proc. Int Conf on Biomed Instrum & Health Care Tech, Chennai, pp. 93-97. 2009.[Best paper award]
Sabut S.K, Kumar R, Sikdar C, Manjunatha M. Restoration of gait and motor recovery by means of neuromuscular electrical stimulation in hemiplegics. Proc 14 th Annual Conf of the Int FES Society, Seoul, Korea, pp. 61-64, 2009.
Sabut S.K, Manjunatha M. Neuroprosthesis-FES, an opportunity in clinical application for correction of drop-foot. Proc. 1 st Int Conf on Emerging Treads in Eng & Tech (ICETET), Nagpur, IEEE Explore Digital Library, pp. 950-953, 2008. [Best paper award].
Books :
Edited Book: Sabut, S.K. , Ray, A.K. , Pati, B. , Acharya, U.R. Proceedings of Internal Conference on Communication, Circuits and Systems (IC3S2020). Lecture Notes in Electrical Engineering, LNEE, 728, 2021.
Organized Seminar/Conference
- IET sponsored national seminar on “Machine Learning for Signal & Image Processing” Sept. 18-19th, 2019 at KIIT Bhubaneswar.
- DST sponsored national seminar on “Advanced & Innovative Technology for Transforming Healthcare” Sept. 18-19th, 2016.
- National seminar on “Spinal Injuries and Implant Design” coordinated with IMS & SUM Hospital, 12-13th Dec. 2014.
Guest lecturer delivered
- Biomedical signal analysis for detection of cardiac arrhythmias, at CET Bhubaneswar, 27th March 2019.
Functional electrical stimulation in post stroke rehabilitation, International Society of Prosthetics and
Orthotics (ISPO) at CSIR Bhubaneswar Sept. 2018. - Detection of cardiac disorder by ECG Signal Processing at Ravenshaw University, Cuttack 10th Feb 2017.
Automatic detection of arrhythmia by ECG signal processing at Synergy Institute of Technology, Dhenkanal, Odisha, Feb. 2015. - Biomedical Engineering & Assistive Technology at College of Engineering & Management, Kolaghat, Kolkata, Feb. 2014.
- Architecture design of human knee and artificial knee joint at National Institute of Rehabilitation Training & Research, Cuttack, Odisha, Nov. 2014.
- Neural Engineering & Rehabilitation Sciences at National Conference in TKM Institute of Technology, Kollam, Kerela, 2013.
- Neural Engineering & Rehabilitation for Stroke/Spinal Cord Injury Patients at National Brain Research Centre, New Delhi, 2012.