Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals G Venugopal, M Navaneethakrishna, S Ramakrishnan Expert Systems with Applications 41 (6), 2652-2659, 2014 | 167 | 2014 |
Analysis of muscle fatigue progression using cyclostationary property of surface electromyography signals PA Karthick, G Venugopal, S Ramakrishnan Journal of medical systems 40, 1-11, 2016 | 37 | 2016 |
Analysis of progressive changes associated with muscle fatigue in dynamic contraction of biceps brachii muscle using surface EMG signals and bispectrum features G Venugopal, S Ramakrishnan Biomedical Engineering Letters 4, 269-276, 2014 | 30 | 2014 |
Analysis of surface EMG signals under fatigue and non-fatigue conditions using B-distribution based quadratic time frequency distribution PA Karthick, G Venugopal, S Ramakrishnan Journal of Mechanics in Medicine and Biology 15 (02), 1540028, 2015 | 20 | 2015 |
Differentiation of Alzheimer conditions in brain MR images using bidimensional multiscale entropy-based texture analysis of lateral ventricles A Veluppal Biomedical Signal Processing and Control 78, 103974, 2022 | 11 | 2022 |
Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features LM Hari, G Venugopal, S Ramakrishnan Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2022 | 11 | 2022 |
Generation of synthetic surface electromyography signals under fatigue conditions for varying force inputs using feedback control algorithm G Venugopal, P Deepak, DM Ghosh, S Ramakrishnan Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2017 | 11 | 2017 |
Surface electromyography-based muscle fatigue analysis using binary and weighted visibility graph features N Makaram, PA Karthick, V Gopinath, R Swaminathan Fluctuation and Noise Letters 20 (02), 2150016, 2021 | 9 | 2021 |
Differentiating Muscle Fatigue and Nonfatigue Conditions Using Surface EMG Signals and Zhao-Atlas-Marks Based Time-Frequency Distribution. PA Karthick, G Venugopal, S Ramakrishnan Biomedical sciences instrumentation 51, 115-121, 2015 | 8 | 2015 |
Multi-point sensing system for plantar pressure measurement G Venugopal, BJ Parmar, K Rajanna, MM Nayak SENSORS, 2007 IEEE, 978-981, 2007 | 8 | 2007 |
Muscle fatigue analysis by visualization of dynamic surface EMG signals using Markov transition field D Sasidharan, G Venugopal, S Ramakrishnan 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 7 | 2022 |
Differentiating sEMG signals under muscle fatigue and non‐fatigue conditions using logistic regression classifiers G Venugopal, S Ramakrishnan Biomedical Sciences Instrumentation 50, 314-321, 2014 | 7 | 2014 |
Muscle fatigue analysis in biceps brachii surface electromyography signals using synchrosqueezed Morlet wavelet and singular value decomposition LM Hari, G Venugopal, S Ramakrishnan Electronics Letters 57 (1), 42-44, 2021 | 6 | 2021 |
Detection of Mild Cognitive Impairment using Kernel Density Estimation based texture analysis of the Corpus Callosum in brain MR images A Veluppal, D Sadhukhan, V Gopinath, R Swaminathan IRBM 43 (5), 340-348, 2022 | 5 | 2022 |
Veterinary Image Enhancement using DWTDCT and Singular Value Decomposition BK Rajan, HM Harshan, G Venugopal 2020 International Conference on Communication and Signal Processing (ICCSP …, 2020 | 5 | 2020 |
Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet Transform LM Hari, G Venugopal, S Ramakrishnan 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
Complexity analysis of surface Electromyography signals under fatigue using Hjorth parameters and bubble entropy D SASIDHARAN, G Venugopal, R SWAMINATHAN Journal of Mechanics in Medicine and Biology 23 (06), 2340051, 2023 | 3 | 2023 |
A proposal to analyze muscle dynamics under fatiguing contractions using surface Electromyography signals and fuzzy recurrence network features D Sasidharan, V Gopinath, R Swaminathan Fluctuation and Noise Letters 22 (5), 2350033-16, 2023 | 3 | 2023 |
Analysis of surface emg signals under fatigue conditions using sum of sines models D Sasidharan, G Venugopal 2020 International Conference on Communication and Signal Processing (ICCSP …, 2020 | 3 | 2020 |
Analysis of surface EMG signals in biceps curls using maximum singular value estimation G Venugopal, S Ramakrishnan 2014 40th Annual Northeast Bioengineering Conference (NEBEC), 1-2, 2014 | 3 | 2014 |