Ganesh R Naik
Ganesh R Naik
Post Doctoral Research Fellow at MARCS Institute - Western Sydney University
Verified email at westernsydney.edu.au - Homepage
Title
Cited by
Cited by
Year
An overview of independent component analysis and its applications
GR Naik, DK Kumar
Informatica 35 (1), 2011
2052011
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
1292009
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
1152017
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
802015
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
772015
Hand gestures for HCI using ICA of EMG
GR Naik, DK Kumar, VP Singh, M Palaniswami
Proceedings of the HCSNet workshop on Use of vision in human-computer …, 2006
762006
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
702015
Blind source separation
GR Naik, W Wang
Berlin: Springer 10, 978-3, 2014
632014
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
592017
Multi run ICA and surface EMG based signal processing system for recognising hand gestures
GR Naik, DK Kumar, M Palaniswami
2008 8th IEEE International Conference on Computer and Information …, 2008
552008
Signal processing evaluation of myoelectric sensor placement in low‐level gestures: sensitivity analysis using independent component analysis
GR Naik, DK Kumar, M Palaniswami
Expert Systems 31 (1), 91-99, 2014
462014
Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges
GR Naik
INTECH Open Access Publisher, 2012
462012
Edge effect elimination in single-mixture blind source separation
Y Guo, S Huang, Y Li, GR Naik
Circuits, Systems, and Signal Processing 32 (5), 2317-2334, 2013
432013
Applied Biological Engineering - Principles and Practice
GR Naik
INTECH Open Access Publisher, 2011
43*2011
Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder
PN Jadhav, D Shanamugan, A Chourasia, AR Ghole, A Acharyya, ...
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
422014
Identification of hand and finger movements using multi run ICA of surface electromyogram
GR Naik, DK Kumar
Journal of medical systems 36 (2), 841-851, 2012
422012
Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey
CS Mary, EB Rajsingh, GR Naik
IEEE ACCESS Journal 4, 4327-4354, 2016
372016
Online and automated reliable system design to remove blink and muscle artefact in EEG
S Bhardwaj, P Jadhav, B Adapa, A Acharyya, GR Naik
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
362015
Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children
G Pendharkar, GR Naik, HT Nguyen
Biomedical Signal Processing and Control 13, 41-49, 2014
362014
A machine learning based method for classification of fractal features of forearm sEMG using twin support vector machines
SP Arjunan, DK Kumar, GR Naik
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
362010
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Articles 1–20