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ORCIDNavaneethakrishna Makaram
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2020 – today
- 2023
[j3]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:
Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? Algorithms 16(12): 567 (2023)- [c14]Omkar Pande, Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Effect of Extra-abdominal Vein Varix on the Stress Distribution in Umbilical Cord: A Simulation Study. EMBC 2023: 1-4 - 2022
- [c13]Kumar Nandan Sinha, Navaneethakrishna Makaram, Abhijit Chaudhuri, Ramakrishnan Swaminathan:
Numerical Analysis of Temperature Distribution Profiles of Breast Tissues with Cyst and Tumor of Different sizes and Locations. EMBC 2022: 3955-3958 - 2021
- [j2]Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan:
Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [c12]Navaneethakrishna Makaram, S. R. Manuskandan:
Analysis of Heart Rate Variability in Normal and Diabetic ECG signals using Fragmentation Approach. EMBC 2021: 1112-1115 - [c11]Jayendhra Shiva, S. R. Manuskandan, M. Joseph, Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick:
Analysis of Facial Electromyography Signals Using Linear and Non-Linear Features for Human-Machine Interface. EMBC 2021: 1149-1152 - [c10]Jayendhra Shiva, Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan:
Emotion Recognition Using Spectral Feature from Facial Electromygraphy Signals for Human-Machine Interface. MIE 2021: 486-487 - [c9]Navaneethakrishna Makaram, Sridhar P. Arjunan, Dinesh Kant Kumar, Ramakrishnan Swaminathan:
Spatial Intensity Map of HDEMG Based Classification of Muscle Fatigue. MIE 2021: 508-509 - 2020
- [c8]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Classification of Biceps Brachii Muscle Fatigue Condition Using Phase Space Network Features. MIE 2020: 1219-1220
2010 – 2019
- 2019
- [c7]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Analysis of Dynamic Contractions from Biceps Brachii Muscle using Surface Electromyography signals and Multiscale Visibility Graph Features. EMBC 2019: 2653-2656 - 2018
- [c6]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition. EMBC 2018: 2659-2662 - 2017
- [c5]Arun S. Balaji, Navaneethakrishna Makaram, Sriram Balasubramanian, Ramakrishnan Swaminathan:
Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging. ICCBB 2017: 53-57 - 2015
- [c4]Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, S. Ramakrishnan:
Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy. EMBC 2015: 7881-7884 - 2014
- [j1]G. Venugopal, Navaneethakrishna Makaram, S. Ramakrishnan:
Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. Expert Syst. Appl. 41(6): 2652-2659 (2014) - [c3]Periyamolapalayam Allimuthu Karthick, Navaneethakrishna Makaram, S. Ramakrishnan:
Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features. EMBC 2014: 3276-3279 - [c2]Navaneethakrishna Makaram, S. Ramakrishnan:
Multiscale feature based analysis of surface EMG signals under fatigue and non-fatigue conditions. EMBC 2014: 4627-4630 - [c1]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals. SEMCCO 2014: 480-489
Coauthor Index
aka: Ramakrishnan Swaminathan
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