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Issue DateTitleAuthor(s)
1-Dec-2006Limitations and applications of ICA for surface electromyogramNaik, GR; Kumar, DK; Arjunan, SP; Palaniswami, M; Begg, R
1-Dec-2010A machine learning based method for classification of fractal features of forearm sEMG using Twin Support vector machinesArjunan, SP; Kumar, DK; Naik, GR
1-Dec-2010Fractal feature of sEMG from flexor digitorum superficialis muscle correlated with levels of contraction during low-level finger flexionsArjunan, SP; Kumar, DK; Naik, GR
1-Dec-2008Addressing source separation and identification issues in surface EMG using blind source separation.Naik, GR; Kumar, DK; Palaniswami, M
1-Jan-2014Correlation analysis of electromyogram signals for multiuser myoelectric interfacesKhushaba, RN
13-Sep-2017Differences in lower limb muscle activation patterns during Sit to Stand Task for different heel heightsNaik, GR; Pratihast, M; Chai, R; Al-Ani, A; Acharyya, A; Nguyen, HT
2-Nov-2014Classification of finger extension and flexion of EMG and Cyberglove data with modified ICA weight matrixNaik, GR; Acharyya, A; Nguyen, HT
15-Sep-2010Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognitionNaik, GR; Kumar, DK; Jayadeva
1-Oct-2011Measuring increase in synchronization to identify muscle endurance limitKumar, DK; Arjunan, SP; Naik, GR
26-Dec-2011Evaluation of higher order statistics parameters for multi channel sEMG using different force levelsNaik, GR; Kumar, DK
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