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Issue DateTitleAuthor(s)
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
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
1-Dec-2011Estimation of independent and dependent components of non-invasive EMG using fast ICA: Validation in recognising complex gesturesNaik, GR; Kumar, DK
1-Jan-2009Testing of motor unit synchronization model for localized muscle fatigueNaik, GR; Kumar, DK; Yadav, V; Wheeler, K; Arjunan, S
1-Jan-2009Use of sEMG in identification of low level muscle activities: Features based on ICA and Fractal dimensionNaik, GR; Kumar, DK; Arjunan, S
1-Dec-2008Identification of independent biological sensors-electromyogram example.Naik, GR; Kumar, DK; Palaniswami, M
1-Mar-2018An ICA-EBM-based sEMG classifier for recognizing lower limb movements in individuals with and without knee pathologyNaik, GR; Selvan, SE; Arjunan, SP; Acharyya, A; Kumar, DK; Ramanujam, A; Nguyen, HT
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