| An overview of independent component analysis and its applications GR Naik, DK Kumar Informatica 35 (1), 2011 | 276 | 2011 |
| Driver Fatigue Classification with Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-based System R Chai, G Naik, TN Nguyen, S Ling, Y Tran, A Craig, H Nguyen IEEE Journal of Biomedical and Health Informatics (JBHI) 21 (3), 715-724, 2017 | 251 | 2017 |
| Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation N Parajuli, N Sreenivasan, P Bifulco, M Cesarelli, S Savino, V Niola, ... Sensors 19 (20), 4596, 2019 | 220 | 2019 |
| Progress in brain computer interface: Challenges and opportunities S Saha, KA Mamun, K Ahmed, R Mostafa, GR Naik, S Darvishi, ... Frontiers in Systems Neuroscience 15, 578875, 2021 | 177 | 2021 |
| Twin SVM for gesture classification using the surface electromyogram GR Naik, DK Kumar IEEE Transactions on Information Technology in Biomedicine 14 (2), 301-308, 2009 | 165 | 2009 |
| Transradial Amputee Gesture Classification Using an Optimal Number of sEMG Sensors: An Approach Using ICA Clustering G Naik, A Al-Timemy, H Nguyen IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2015 | 148 | 2015 |
| Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders GR Naik, S Selvan, HT Nguyen IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2015 | 142 | 2015 |
| Improving EEG-based driver fatigue classification using sparse-deep belief networks R Chai, SH Ling, PP San, GR Naik, TN Nguyen, Y Tran, A Craig, ... Frontiers in neuroscience 11, 103, 2017 | 140 | 2017 |
| Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges GR Naik INTECH Open Access Publisher, 2012 | 139 | 2012 |
| CNN based approach for activity recognition using a wrist-worn accelerometer M Panwar, SR Dyuthi, KC Prakash, D Biswas, A Acharyya, K Maharatna, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 131 | 2017 |
| Non Negative Matrix Factorization for the Identification of EMG finger movements: Evaluation using matrix analysis GR Naik, HT Nguyen IEEE Journal of Biomedical and Health Informatics (JBHI) 19 (2), 478 - 485, 2015 | 123 | 2015 |
| Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey CS Mary, EB Rajsingh, GR Naik IEEE ACCESS Journal 4, 4327-4354, 2016 | 116 | 2016 |
| Blind source separation GR Naik, W Wang Berlin: Springer 10, 978-3, 2014 | 116 | 2014 |
| Advances in principal component analysis: research and development GR Naik Springer, 2017 | 109 | 2017 |
| Hand gestures for HCI using ICA of EMG GR Naik, DK Kumar, VP Singh, M Palaniswami ACM International Conference Proceeding Series 237, 67-72, 2006 | 101 | 2006 |
| A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection V Rajinikanth, AN Joseph Raj, KP Thanaraj, GR Naik Applied Sciences 10 (10), 3429, 2020 | 100 | 2020 |
| A comparison of reflective photoplethysmography for detection of heart rate, blood oxygen saturation, and respiration rate at various anatomical locations SK Longmore, GY Lui, G Naik, PP Breen, B Jalaludin, GD Gargiulo Sensors 19 (8), 1874, 2019 | 99 | 2019 |
| Ponseti method in the management of clubfoot under 2 years of age: A systematic review B Ganesan, A Luximon, A Al-Jumaily, SK Balasankar, GR Naik PloS one 12 (6), 1-18, 2017 | 97 | 2017 |
| Principal Component Analysis Applied to Surface Electromyography: A Comprehensive Review GR Naik, SE Suviseshamuthu, M Gobbo, A Acharyya, HT Nguyen IEEE ACCESS Journal 4, 4025-4037, 2016 | 78 | 2016 |
| Computation and evaluation of features of surface electromyogram to identify the force of muscle contraction and muscle fatigue SP Arjunan, DK Kumar, GR Naik BioMed research international 2014, 2014 | 77 | 2014 |
Dinesh K KumarProfessor of Biomedical, RMIT University, MelbourneVerified email at rmit.edu.au
