A novel technique for the on-chip tuning of monolithic filters. - K. Radhakrishna Rao; G. Venugopal (Proc. IEEE, 1987)

Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. - G. Venugopal; Navaneethakrishna Makaram; S. Ramakrishnan 001 (Expert Syst. Appl., 2014)

Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals. - P. A. Karthick; G. Venugopal; S. Ramakrishnan 001 (J. Medical Syst., 2016)

Analysis of Needle Electromyography Signal in Neuropathy and Myopathy Conditions using Tunable-Q Wavelet Transform. - Lakshmi Madathil Hari; S. Edward Jero; G. Venugopal; S. Ramakrishnan 001 (ICBSP, 2019)

Muscle Fatigue Analysis by Visualization of Dynamic Surface EMG Signals Using Markov Transition Field. - Divya Sasidharan; G. Venugopal; S. Ramakrishnan 001 (EMBC, 2022)

Non-invasive Analysis of Fiber Type Composition in Lower Limb Skeletal Muscles Using Reduced Interference Rihaczek Distribution. - Remya R. Nair; Divya Sasidharan; G. Venugopal (EMBC, 2023)

Surface electromyography based analysis of muscle fiber type variations in the lower limb muscles of sprinters using gray level transformed Morlet scalogram images and Haralick features. - Remya R. Nair; P. A. Karthick; Nagarajan Ganapathy; G. Venugopal (Biomed. Signal Process. Control., 2024)

Analysis of Muscle Fiber Type Proportions in Surface Electromyography Signals of Athletes Using Reassigned Morlet Scalogram. - Remya R. Nair; G. Venugopal; Ramakrishnan Swaminathan (IEEE Trans. Instrum. Meas., 2024)