| 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 |
| 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 (05), 2350033, 2023 | 3 | 2023 |
| 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 |
| 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 |
| Non-invasive Analysis of Fiber Type Composition in Lower Limb Skeletal Muscles Using Reduced Interference Rihaczek Distribution. RR Nair, D Sasidharan, V G Annual International Conference of the IEEE Engineering in Medicine and …, 2023 | 1 | 2023 |
| Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks G Venugopal, D Sasidharan, R Swaminathan Biomedical Engineering Letters, 1-10, 2024 | | 2024 |
| Chaotic Complexity Determination of Surface EMG Signals D Sasidharan, K Kavyamol, S Subramanian, G Venugopal Indian Conference On Applied Mechanics, 323-329, 2022 | | 2022 |
| Analysis of Motorcycle Rider’s Posture Using sEMG Signals A Varghese, KB Akshaya, SA Prakash, S Sreehari, D Sasidharan, ... Smart Sensors Measurements and Instrumentation: Select Proceedings of CISCON …, 2021 | | 2021 |
