Navaneethakrishna Makaram

According to our database, Navaneethakrishna Makaram authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

Navaneethakrishna Makaram, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton, Scellig S. Stone, Daniel Haehn, Marc Pomplun, Christos L. Papadelis, Phillip L. Pearl, Alexander Rotenberg, Patricia Ellen Grant, Eleonora Tamilia

Algorithms, 2023

Effect of Extra-abdominal Vein Varix on the Stress Distribution in Umbilical Cord: A Simulation Study.

Omkar Pande, Navaneethakrishna Makaram, Ramakrishnan Swaminathan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Numerical Analysis of Temperature Distribution Profiles of Breast Tissues with Cyst and Tumor of Different sizes and Locations.

Kumar Nandan Sinha, Navaneethakrishna Makaram, Abhijit Chaudhuri, Ramakrishnan Swaminathan

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach.

Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan

IEEE Trans. Instrum. Meas., 2021

Emotion Recognition Using Spectral Feature from Facial Electromygraphy Signals for Human-Machine Interface.

Jayendhra Shiva, Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan

Proceedings of the Public Health and Informatics, 2021

Spatial Intensity Map of HDEMG Based Classification of Muscle Fatigue.

Navaneethakrishna Makaram, Sridhar P. Arjunan, Dinesh Kant Kumar, Ramakrishnan Swaminathan

Proceedings of the Public Health and Informatics, 2021

Analysis of Facial Electromyography Signals Using Linear and Non-Linear Features for Human-Machine Interface.

Jayendhra Shiva, S. R. Manuskandan, M. Joseph, Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Analysis of Heart Rate Variability in Normal and Diabetic ECG signals using Fragmentation Approach.

Navaneethakrishna Makaram, S. R. Manuskandan

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Classification of Biceps Brachii Muscle Fatigue Condition Using Phase Space Network Features.

Navaneethakrishna Makaram, Ramakrishnan Swaminathan

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

Analysis of Dynamic Contractions from Biceps Brachii Muscle using Surface Electromyography signals and Multiscale Visibility Graph Features.

Navaneethakrishna Makaram, Ramakrishnan Swaminathan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition.

Navaneethakrishna Makaram, Ramakrishnan Swaminathan

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging.

Arun S. Balaji, Navaneethakrishna Makaram, Sriram Balasubramanian, Ramakrishnan Swaminathan

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics, 2017

2015

Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy.

Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, S. Ramakrishnan

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals.

G. Venugopal, Navaneethakrishna Makaram, S. Ramakrishnan

Expert Syst. Appl., 2014

A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals.

Navaneethakrishna Makaram, Ramakrishnan Swaminathan

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Multiscale feature based analysis of surface EMG signals under fatigue and non-fatigue conditions.

Navaneethakrishna Makaram, S. Ramakrishnan

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features.

Periyamolapalayam Allimuthu Karthick, Navaneethakrishna Makaram, S. Ramakrishnan

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014