Navaneethakrishna Makaram received his Bachelor of Engineering degree in Electrical and Electronics Engineering from Anna University, Chennai. He then carried out his M.S(by Research) in the Department of Applied Mechanics - Biomedical Engineering Group at the Indian Institute of Technology, Chennai.
He is currently, continuing his Ph.D. in the same institute. His primary area of research includes medical Instrumentation, medical signal processing, modeling of biosignals, Machine learning and biomechanics.
Navaneethakrishna joined Prof. Jean Gotman’s lab as a Research Trainee in April 2018. In Gotman’s lab, he is working on automated characterization of seizure-onset patterns from intracranial EEG signals for epilepsy research.
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Email: kmakaram [at] gmail.com (kmakaram[at]gmail[dot]com) Address: Montreal Neurological Institute 3801 University Street room 009L H3A 2B4 Montreal Phone number: Office: (514) 398 6644, ext00453 |
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Publications
Journals:
M. Navaneethakrishna, and S. Ramakrishnan (2018) Analysis of Surface Electromyography Signals to Distinguish Nonfatigue and Fatigue Conditions Using Degree Centrality of Visibility Graphs, Biomedical Science and Instrumentation, 54, 222-227 .
Mayank P., M. Navaneethakrishna, B. Sriram, and S. Ramakrishnan (2018) Analysis of Muscle Fatigue Using Electromyography Signals in Gastrocnemius Muscle during Isometric Plantar Flexion, International Journal of Bioscience, Biochemistry and Bioinformatics, 8(2): 100-106
Karthick, P.A., M. Navaneethakrishna, N. Punitha, A. R. Jac Fredo, and S. Ramakrishnan (2016) Analysis of muscle fatigue conditions using time-frequency images and GLCM features, Current Directions in Biomedical Engineering ,2(1),483–487
Navaneethakrishna, M., and S. Ramakrishnan (2015) Analysis of sEMG signal complexity associated with fatigue conditions in biceps brachii muscle using multiscale approximate entropy, Biomedical Science and Instrumentation, 51, 246-252 .
Venugopal, G., M. Navaneethakrishna, and S. Ramakrishnan (2014) Extraction and Analysis of Multiple Time Window Features Associated with Muscle Fatigue Conditions using sEMG Signals, Expert Systems with Applications, 41(6), 2652–2659.
Navaneethakrishna, M., and S. Ramakrishnan (2014) A Binary BAT approach for identification of fatigue condition from sEMG signals, Swarm, Evolutionary and Memetic computing SE -42, Springer International Publishing, 8947, 480-489.
Navaneethakrishna, M., and S. Ramakrishnan (2014) Characterization of Muscle Fatigue Progression using sEMG Signals and Multiscale Sample Entropy. Journal of Instrumentation Society of India, 44(4), 238-241.
Venugopal, G., M. Navaneethakrishna, and S. Ramakrishnan (2013) A Binary Classifier Approach to Analyze Muscle Fatigue using Bipolar Surface EMG Signals, Journal of Instrumentation Society of India, 43 (4), 278- 281.
Conferences:
Navaneethakrishna, M., and S. Ramakrishnan (2018) Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition. Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual International Conference of the IEEE, Hawaii, USA.
Navaneethakrishna, M., and S. Ramakrishnan (2018) Analysis of Muscle’s Electrical Activity during Dynamic Fatiguing Exercise using Visibility Graph and Degree Statistics. 2018 IEEE Life Sciences Conference (LSC), Montreal, Canada.
M. Navaneethakrishna, T. Seacrist, K.B. Arbogast and B. Sriram (2018) Analysis of muscle activity during simulated frontal crash, and its influence on kinetic and kinematic parameters, 8th World Congress of Biomechanics, Dublin, Ireland
Raut S., M. Navaneethakrishna and S. Ramakrishnan (2017) Posture recognition associated with lifting of heavy objects using Kinect and Adaboost, 2017 International Conference on Robotics and Machine Vision, DOI:10.1117/12.2300745.
Arun S. B., M. Navaneethakrishna, B. Sriram, and S. Ramakrishnan (2017) Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging, Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics, 53-57
Diptasree, M., M. Navaneethakrishna, and S. Ramakrishnan (2017) Analysis of Isometric Contractions on Biceps Brachii Muscles using sEMG Signals and Generalised Chirplet Transform, European Society of Biomechanics, Seville, Spain
Navaneethakrishna, M., G. Nitinram, K. Himanshu, S. L. Lasya and S. Ramakrishnan (2017) Correlation of the sEMG Signal and Muscle Stiffness during Fatiguing Isometric Contraction of Bicep Brachii Muscle in Dominant and Non-Dominant Hand, International Conference on Mechanics in Medicine & Biology, Melbourne, Australia
Navaneethakrishna, M., G. Karthikeyan, and S. Ramakrishnan (2017) Analysis of Muscle fatigue conditions using electromyography signals and multiscale entropy, International Conference on Mechanics in Medicine & Biology, Melbourne, Australia
Sushant, K., M. Navaneethakrishna, M. Kiran, S. Ramakrishnan and C. Priyadarshini (2015) Analysis of surface electromyography signals during isometric contractions from transtibial amputees, 40th National conference on Instrumentation, Coimbatore, India
Navaneethakrishna, M., P. A. Karthick and S. Ramakrishnan (2015) Analysis of Biceps Brachii sEMG signal using Multiscale Fuzzy Approximate Entropy Conditions. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, Milan, Italy, 7881-7884.