G. Naik

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Classification of finger extension and flexion of EMG and Cyberglove data with modified ICA weight matrix

Ganesh R. Naik, Hung T. Nguyen, Amit Acharyya, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Limitations and Applications of ICA in Facial sEMG and Hand Gesture sEMG for Human Computer Interaction

Marimuthu Palaniswami, Ganesh R. Naik, Dinesh Kant Kumar, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Limitations and Applications of ICA for Surface Electromyogram

Ganesh R. Naik, Dinesh Kant Kumar, Djuwari Djuwari, 2008, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of independent and dependent components of non-invasive EMG using fast ICA: validation in recognising complex gestures

Dinesh Kumar, Ganesh R. Naik, D. Kumar, 2011, Computer methods in biomechanics and biomedical engineering.

Selecting optimal EEG channels for mental tasks classification: An approach using ICA

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Nonnegative Matrix Factorization for the Identification of EMG Finger Movements: Evaluation Using Matrix Analysis

Ganesh R. Naik, Hung T. Nguyen, G. Naik, 2015, IEEE Journal of Biomedical and Health Informatics.

Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensors

Ganesh R. Naik, Hung T. Nguyen, Gita Pendharkar, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spectral properties of surface EMG and muscle conduction velocity: A study based on sEMG model

Dinesh Kumar, Sridhar P Arjunan, Ganesh Naik, 2011, ISSNIP Biosignals and Biorobotics Conference 2011.

Kurtosis and negentropy investigation of myo electric signals during different MVCs

S. Arjunan, D. Kumar, G. Naik, 2011, ISSNIP Biosignals and Biorobotics Conference 2011.

Hand gestures for HCI using ICA of EMG

Marimuthu Palaniswami, Dinesh Kumar, Ganesh R. Naik, 2006 .

Inter-experimental discrepancy in facial muscle activity during vowel utterance

Dinesh K Kumar, Ganesh R Naik, D. Kumar, 2010, Computer methods in biomechanics and biomedical engineering.

Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey

G. Naik, P. Bifulco, G. Gargiulo, 2021, Sensors.

Improving the quality of the audio sources using Gaussianity reduction technique

D. Kumar, G. Naik, 2011 .

Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Side During Different MVCs—A Case Study

G. Naik, H. Nguyen, S. Su, 2019, Series in BioEngineering.

Brain-Computer Interfaces for Assessment and Communication in Disorders of Consciousness

Ganesh R. Naik, G. Naik, 2014 .

Emerging Theory and Practice in Neuroprosthetics

Ganesh R. Naik, Yina Guo, G. Naik, 2014 .

Measuring Increase in Synchronization to Identify Muscle Endurance Limit

S. P. Arjunan, S. Arjunan, G. Naik, 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Changes in lower limb muscle synchronisation during walking on high-heeled shoes

G. Naik, S. Su, R. Chai, 2018, Healthcare technology letters.

Applications and limitations of independent component analysis for facial and hand gesture surface electromyograms

D. Kumar, G. Naik, 2007, Journal and proceedings of the Royal Society of New South Wales.

9 Simulating Idiopathic Parkinson ’ s Disease by In Vitro and Computational Models

E. Marani, H. Meijer, T. Heida, 2017 .

ICA for Surface Electromyogram

S. Arjunan, D. Kumar, M. Palaniswami, 2018 .

Applications, Challenges, and Advancements in Electromyography Signal Processing

G. Naik, 2014 .

Limitations and Applications of ICA for Surface Electromyogram

S. Arjunan, D. Kumar, G. Naik, 2008, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Does Heel Height Cause Imbalance during Sit-to-Stand Task: Surface EMG Perspective

Ganesh R. Naik, Hung T. Nguyen, Massimiliano Gobbo, 2017, Front. Physiol..

The Fusion of MRI and CT Medical Images Using Variational Mode Decomposition

D. P. Bavirisetti, Kandala N. V. P. S. Rajesh, G. Naik, 2021, Applied Sciences.

Seizure Detection: A Low Computational Effective Approach without Classification Methods

G. Naik, G. Gargiulo, U. Gunawardana, 2022, Sensors.

Enhanced forensic speaker verification performance using the ICA-EBM algorithm under noisy and reverberant environments

Ahmed Kamil Hasan Al-Ali, V. Chandran, G. Naik, 2020, Evolutionary Intelligence.

An Overview of Independent Component Analysis and Its Applications

Ganesh R. Naik, Dinesh Kant Kumar, D. Kumar, 2011, Informatica.

Iterative issues of ICA, quality of separation and number of sources : a study for biosignal applications

G Naik, G. Naik, 2008 .

Progress in Brain Computer Interface: Challenges and Opportunities pdf

Ganesh R. Naik, Sam Darvishi, Mathias Baumert, 2019, Frontiers in Systems Neuroscience.

Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children

Ganesh R. Naik, Hung T. Nguyen, Gita Pendharkar, 2014, Biomed. Signal Process. Control..

Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Enhanced forensic speaker verification performance using the ICA-EBM algorithm under noisy and reverberant environments

Ganesh R. Naik, Vinod Chandran, Ahmed Kamil Hasan Al-Ali, 2020, Evol. Intell..

Enhanced forensic speaker verification using multi-run ICA in the presence of environmental noise and reverberation conditions

Ganesh R. Naik, Bouchra Senadji, Ahmed Kamil Hasan Al-Ali, 2017, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Signal processing evaluation of myoelectric sensor placement in low‐level gestures: sensitivity analysis using independent component analysis

Marimuthu Palaniswami, Ganesh R. Naik, Dinesh Kant Kumar, 2014, Expert Syst. J. Knowl. Eng..

SUBTLE ELECTROMYOGRAPHIC PATTERN RECOGNITION FOR FINGER MOVEMENTS: A PILOT STUDY USING BSS TECHNIQUES

Ganesh R. Naik, Dinesh Kumar, D. Kumar, 2012 .

Enhancement of the ill-conditioned original recordings using novel ICA technique

Ganesh R. Naik, G. Naik, 2012 .

ICA as Pattern Recognition Technique for Gesture Identification: A Study Using Bio-Signal

Sridhar P. Arjunan, Dinesh Kumar, Ganesh R. Naik, 2012 .

A comparison of ICA algorithms in surface EMG signal processing

Ganesh R. Naik, G. Naik, 2011 .

Towards classification of low-level finger movements using forearm muscle activation: a comparative study based on ICA and Fractal theory

Sridhar P. Arjunan, Dinesh Kumar, Ganesh R. Naik, 2011 .

Blind Source Separation Based Classification Scheme for Myoelectric Prosthesis Hand

Ganesh R. Naik, Dinesh Kumar, D. Kumar, 2011 .

Dimensional reduction using Blind source separation for identifying sources

Ganesh R. Naik, Dinesh Kumar, D. Kumar, 2011 .

Source Separation Techniques for Optimal Electrode Configurations: A Study on Electromyography

Sridhar P. Arjunan, Dinesh Kumar, Ganesh R. Naik, 2010 .

Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognition

Dinesh K Kumar, Jayadeva, Ganesh R Naik, 2010, Biomedizinische Technik. Biomedical engineering.

Twin SVM for Gesture Classification Using the Surface Electromyogram

Ganesh R. Naik, Dinesh Kant Kumar, Jayadeva, 2010, IEEE Transactions on Information Technology in Biomedicine.

Determining Number of Independent Sources in Undercomplete Mixture

Ganesh R. Naik, Dinesh Kant Kumar, D. Kumar, 2009, EURASIP J. Adv. Signal Process..

Source identification and separation using sub-band ICA of sEMG

M. Palaniswami, G.R. Naik, D.K. Kumar, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Source Identification and Separation Using Global Matrix Parameters of ICA

M. Palaniswami, G.R. Naik, D.K. Kumar, 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

Multi run ICA and surface EMG based signal processing system for recognising hand gestures

Marimuthu Palaniswami, Ganesh R. Naik, Dinesh Kant Kumar, 2008, 2008 8th IEEE International Conference on Computer and Information Technology.

INDEPENDENT COMPONENT APPROACH TO THE ANALYSIS OF HAND GESTURE sEMG AND FACIAL sEMG

Marimuthu Palaniswami, Sridhar P. Arjunan, Ganesh R. Naik, 2008 .

Performance comparison of ICA algorithms for Isometric Hand gesture identification using Surface EMG

G.R. Naik, D.K. Kumar, H. Weghorn, 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.

ICA based identification of sources in sEMG

G.R. Naik, D.K. Kumar, H. Weghorn, 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.

Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

Paolo Bifulco, Mario Cesarelli, Upul Gunawardana, 2019, Sensors.

Groundtruth: A Matlab GUI for Artifact and Feature Identification in Physiological Signals

Jorge M. Serrador, Ganesh R. Naik, Gaetano D. Gargiulo, 2019, Frontiers in Physiology.

Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network

Ganesh R. Naik, R. K. Tripathy, S. K. Ghosh, 2020, Journal of Medical Systems.

A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition

Ganesh R. Naik, Paolo Bifulco, Gaetano D. Gargiulo, 2020, Frontiers in Neurorobotics.

Computational Algorithms Underlying the Time-Based Detection of Sudden Cardiac Arrest via Electrocardiographic Markers

Rifai Chai, Ganesh R. Naik, Annmarie Raka, 2017 .

Semi Blind Source Separation for Application in Machine Learning

Ganesh R. Naik, Dinesh Kumar, D. Kumar, 2012 .

Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems

Rifai Chai, Sai Ho Ling, Ganesh R Naik, 2017, BioMedical Engineering OnLine.

Evaluation of higher order statistics parameters for multi channel sEMG using different force levels

Ganesh R. Naik, Dinesh Kant Kumar, D. Kumar, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks

Ganesh R. Naik, Oluwarotimi Williams Samuel, Yanjuan Geng, 2020, Future Gener. Comput. Syst..

Nonparametric dynamical model of cardiorespiratory responses at the onset and offset of treadmill exercises

Ganesh R. Naik, Hung T. Nguyen, Rong Song, 2018, Medical & Biological Engineering & Computing.

Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme

Ganesh R. Naik, R. K. Tripathy, Alejandro Zamora-Méndez, 2019, Comput. Methods Programs Biomed..

Detection of Life Threatening Ventricular Arrhythmia Using Digital Taylor Fourier Transform

Ganesh R. Naik, Alejandro Zamora-Mendez, Mario R. Arrieta Paternina, 2018, Front. Physiol..

A Comparison of Reflective Photoplethysmography for Detection of Heart Rate, Blood Oxygen Saturation, and Respiration Rate at Various Anatomical Locations

Ganesh R. Naik, Gaetano D. Gargiulo, Paul P. Breen, 2019, Sensors.

Laparoscopic Robotic Surgery: Current Perspective and Future Directions

Ganesh R. Naik, Gaetano D. Gargiulo, Sally K. Longmore, 2020, Robotics.

Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

Rifai Chai, Yvonne Tran, Ashley Craig, 2017, IEEE Journal of Biomedical and Health Informatics.

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2017, Front. Neurosci..

Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dynamically identifying relevant EEG channels by utilizing channels classification behaviour

Ganesh R. Naik, Irena Koprinska, Ahmed Al-Ani, 2017, Expert Syst. Appl..

A dynamic channel selection algorithm for the classification of EEG and EMG data

Ganesh R. Naik, Irena Koprinska, Rami N. Khushaba, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques

Ganesh R. Naik, Hussein A. Abbass, Ahmed Al-Ani, 2015, ICONIP.

Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey

Ganesh R. Naik, Elijah Blessing Rajsingh, M. Caroline Viola Stella Mary, 2016, IEEE Access.

Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges

Ganesh R. Naik, Ganesh R. Naik, G. Naik, 2012 .

Design of a 3D-Printed Hand Exoskeleton Based on Force-Myography Control for Assistance and Rehabilitation

G. Naik, P. Bifulco, S. Savino, 2022, Machines.

Introduction: Independent Component Analysis

Ganesh R. Naik, G. Naik, 2012 .

Transradial Amputee Gesture Classification Using an Optimal Number of sEMG Sensors: An Approach Using ICA Clustering

G. Naik, Hung T. Nguyen, Ali H. Al-timemy, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

CNN based approach for activity recognition using a wrist-worn accelerometer

Ganesh R. Naik, Arvind Gautam, Koushik Maharatna, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Nonlinear multiscale Maximal Lyapunov Exponent for accurate myoelectric signal classification

Ganesh R. Naik, Hung T. Nguyen, Ajith Abraham, 2015, Appl. Soft Comput..

Classification of low level surface electromyogram using independent component analysis

Marimuthu Palaniswami, Dinesh Kumar, Ganesh R. Naik, 2010 .

SEMG for Identifying Hand Gestures using ICA

Marimuthu Palaniswami, Dinesh Kumar, Ganesh R. Naik, 2018 .

Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders

Ganesh R. Naik, Hung T. Nguyen, S. Easter Selvan, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Identification of Hand and Finger Movements Using Multi Run ICA of Surface Electromyogram

Ganesh R. Naik, Dinesh Kant Kumar, D. Kumar, 2012, Journal of Medical Systems.

Surface EMG based hand gesture identification using semi blind ICA: validation of ICA matrix analysis.

D K Kumar, G R Naik, M Palaniswami, 2008, Electromyography and clinical neurophysiology.

Surface electromyography classification using extreme learning machines and echo state networks

R. E. de Souza, W. P. dos Santos, Byron L. D. Bezerra, 2022, Research on Biomedical Engineering.

Use of sEMG in identification of low level muscle activities: Features based on ICA and fractal dimension

Dinesh K Kumar, Ganesh R Naik, Sridhar Arjunan, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Online and automated reliable system design to remove blink and muscle artefact in EEG

Ganesh R. Naik, Amit Acharyya, Pranit Jadhav, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder

Ganesh R. Naik, Amit Acharyya, P. N. Jadhav, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Advances in principal component analysis: Research and development

Ganesh R. Naik, G. Naik, 2017 .

Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review

Dinesh Kumar, Ganesh R. Naik, Sridhar Arjunan, 2011, Australasian Physical & Engineering Sciences in Medicine.

Hybrid Feature Selection for Myoelectric Signal Classification Using MICA

Ganesh R. Naik, Dinesh Kumar, D. Kumar, 2010 .

A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features

Ganesh Naik, Alex Noel Joseph Raj, Zhemin Zhuang, 2020, PloS one.

Fractal feature of sEMG from Flexor digitorum superficialis muscle correlated with levels of contraction during low-level finger flexions

Dinesh K Kumar, Sridhar P Arjunan, Ganesh R Naik, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Principal Component Analysis Applied to Surface Electromyography: A Comprehensive Review

Ganesh R. Naik, Hung T. Nguyen, Amit Acharyya, 2016, IEEE Access.

Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control

Ganesh R. Naik, Sridhar P. Arjunan, Arvind Gautam, 2020, IEEE Journal of Translational Engineering in Health and Medicine.

Enhanced Forensic Speaker Verification Using a Combination of DWT and MFCC Feature Warping in the Presence of Noise and Reverberation Conditions

Ganesh R. Naik, Bouchra Senadji, Vinod Chandran, 2017, IEEE Access.

A new approach to improve the quality of biosensor signals using Fast Independent Component Analysis: Feasibility study using EMG recordings

Ganesh R. Naik, Hung T. Nguyen, Yina Guo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection

Ganesh R. Naik, Alex Noel Joseph Raj, Venkatesan Rajinikanth, 2020, Applied Sciences.

An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology

Ganesh R. Naik, Hung T. Nguyen, Sridhar P. Arjunan, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall

Paolo Bifulco, Gaetano D Gargiulo, Ganesh Naik, 2020, Sensors.

Differences in lower limb muscle activation patterns during Sit to Stand Task for different heel heights

Ganesh R. Naik, Hung T. Nguyen, Rifai Chai, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals

Ganesh R. Naik, Sengul Dogan, Turker Tuncer, 2021, Multimedia Tools and Applications.

Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method

Gaetano D Gargiulo, Hossein Moeinzadeh, Ganesh R Naik, 2019, Sensors.

Edge Effect Elimination in Single-Mixture Blind Source Separation

Ganesh R. Naik, Yongtang Li, Yina Guo, 2013, Circuits, Systems, and Signal Processing.

Non-negative Matrix Factorization Techniques: Advances in Theory and Applications

Ganesh R. Naik, G. Naik, 2015 .

Single channel blind source separation based local mean decomposition for Biomedical applications

Ganesh R. Naik, Hung T. Nguyen, Yina Guo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database

G. Naik, G. Gargiulo, Upul Gunawardana, 2023, Sensors.

Measure of Quality of Source Separation for Sub- and Super-Gaussian Audio Mixtures

Ganesh R. Naik, G. Naik, 2012, Informatica.

Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions

Ganesh R. Naik, Wenwu Wang, G. Naik, 2012 .

Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensors

Ganesh R Naik, Hung T Nguyen, Gita Pendharkar, 2016, EMBC.

Edge Effect Elimination in Single-Mixture Blind Source Separation

G. Naik, Yongtang Li, Yina Guo, 2013, Circuits, Systems, and Signal Processing.

Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques

Ganesh R. Naik, Dinesh Kant Kumar, Sridhar Poosapadi Arjunan, 2009, 2009 Digital Image Computing: Techniques and Applications.

Testing of motor unit synchronization model for localized muscle fatigue

Dinesh K Kumar, Ganesh R Naik, Vivek Yadav, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module

A. Craig, Y. Tran, G. Naik, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recognition of Human Voice Utterances from Facial Surface EMG without Using Audio Signals

Ganesh R. Naik, Dinesh Kant Kumar, Sridhar Poosapadi Arjunan, 2007, ICEIS.

Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques

Sridhar P. Arjunan, Ganesh R. Naik, Dinesh Kumar, 2010 .

INDEPENDENT COMPONENT APPROACH TO THE ANALYSIS OF HAND GESTURE sEMG AND FACIAL sEMG

S. Arjunan, D. Kumar, M. Palaniswami, 2008 .

Blind Source Separation: Advances in Theory, Algorithms and Applications

Wenwu Wang, Ganesh R. Naik, G. Naik, 2014 .

Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography

P. Breen, G. Naik, D. Eckert, 2023, Biosensors.

Reliability of facial muscle activity to identify vowel utterance

G.R. Naik, D.K. Kumar, S.P. Arjunan, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Addressing source separation and identification issues in surface EMG using blind source separation

Marimuthu Palaniswami, Dinesh K. Kumar, Ganesh R. Naik, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of independent biological sensors-electromyogram example

Marimuthu Palaniswami, Dinesh K. Kumar, Ganesh R. Naik, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Subtle Hand Gesture Identification for HCI Using Temporal Decorrelation Source Separation BSS of Surface EMG

Identification of number of independent sources in surface EMG recording using over complete ICA

Marimuthu Palaniswami, Dinesh K Kumar, Hans Weghorn, 2007 .

Low-complexity hardware design methodology for reliable and automated removal of ocular and muscular artifact from EEG

Ganesh R. Naik, Koushik Maharatna, Amit Acharyya, 2018, Comput. Methods Programs Biomed..

Shape memory alloy smart knee spacer to enhance knee functionality: Model design and finite element analysis

Ganesh R. Naik, Arvind Gautam, Amit Acharyya, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).