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Dr. Venugopal G.
Dr. Venugopal G.
Professor, NSS College of Engineering Palakkad
在 nssce.ac.in 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1672014
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
372016
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
302014
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
202015
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
112022
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
112022
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
112017
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
92021
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
82015
Multi-point sensing system for plantar pressure measurement
G Venugopal, BJ Parmar, K Rajanna, MM Nayak
SENSORS, 2007 IEEE, 978-981, 2007
82007
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
72022
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
72014
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
62021
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
52022
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
52020
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
42020
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
32023
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
32023
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
32020
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
32014
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