Doctor Ganesh Naik

Doctor Ganesh Naik

Adjunct Fellow,
Dean's Unit School of Engineering

Biography

Ganesh R. Naik is a postdoctoral research fellow at the Biomedical Engineering and Neuroscience group in the MARCS Institute for Brain, Behaviour, and Development. He received a B.E. degree in Electronics and Communication Engineering from the University of Mysore, India, in 1997, an M.E. degree in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002, and a PhD degree in Electronics Engineering, specialising in biomedical engineering and signal processing from RMIT University, Melbourne, Australia, in December 2009. 

He held a Chancellor's Post-Doctoral Research Fellowship position in the Centre for Health Technologies, University of Technology Sydney (UTS) between February – 2013 to June – 2017. As an early mid-career researcher, he has edited 11 books, authored more than 100 papers in peer reviewed journals and conferences. Ganesh serves as an associate editor for IEEE ACCESS, Frontiers in Neurorobotics and two Springer journals (Circuits, Systems, and Signal Processingand Australasian Physical & Engineering Sciences in Medicine). He is a recipient of the Baden–Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006–2007). In 2010, he was awarded an ISSI overseas fellowship from Skilled Institute Victoria, Australia.

His research interests include Biomedical signal processing (ECG, EEG and EMG), Blind source separation techniques, Brain computer interface (BCI), Pattern recognition, machine learning and prosthetics. He is a senior member of the IEEE.

http://ganeshrnaik.org/

This information has been contributed by Doctor Naik.

Qualifications

  • PhD RMIT University

Professional Memberships

  • IEEE Senior Member (2015 - 2017)

Organisational Unit (School / Division)

  • Dean's Unit School of Engineering

Contact

Email: Ganesh.Naik@westernsydney.edu.au
Phone:
Mobile:
Location:

PLEASE NOTE: obtaining information from this Directory must be for the legitimate purposes of doing business with and within Western Sydney University, and must not be used for unsolicited bulk e-mailing (spamming) or similar purposes.

Publications

Books

  • Naik, G. (2016), 'Non-negative Matrix Factorization Techniques: Advances in Theory and Applications', : Springer 9783662483305.
  • Naik, G. and Guo, Y. (2014), 'Emerging Theory and Practice in Neuroprosthetics', : Medical Information Science Reference 9781466660946.
  • Naik, G. (2014), 'Applications, Challenges, and Advancements in Electromyography Signal Processing', : Medical Information Science Reference 9781466660908.
  • Naik, G. and Wang, W. (2014), 'Blind Source Separation: Advances in Theory, Agorithms and Applications', : Springer 9783642550157.
  • Naik, G. (2012), 'Applied Biological Engineering: Principles and Practice', : InTech 9789535104124.
  • Naik, G. (2012), 'Independent Component Analysis for Audio and Biosignal Applications', : InTech 9789535107828.
  • Naik, G. (2012), 'Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges', : InTech 9789535108054.
  • Naik, G. (2011), 'Intelligent Mechatronics', : InTech 9789533073002.
  • Naik, G. (2009), 'Recent Advances in Biomedical Engineering', : InTech 9789533070049.

Chapters in Books

  • Arjunan, S., Kumar, D., Weghorn, H. and Naik, G. (2014), 'Facial muscle activity patterns for recognition of utterances in native and foreign language : testing for its reliability and flexibility', Assistive Technologies: Concepts, Methodologies, Tools, and Applications, Information Science Reference 9781466644229.
  • Naik, G. (2014), 'Neuroprosthetics : introduction', Emerging Theory and Practice in Neuroprosthetics, Medical Information Science Reference 9781466660946.
  • Naik, G., Kumar, D. and Arjunan, S. (2013), 'ICA as pattern recognition technique for gesture identification : a study using bio-signal', Image Processing: Concepts, Methodologies, Tools, and Applications, IGI Global 9781466639942.
  • Naik, G. and Kumar, D. (2012), 'Semi blind source separation for application in machine learning', Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, Information Science Reference 9781466618336.
  • Naik, G. and Kumar, D. (2011), 'Blind source separation based classification scheme for myoelectric prosthesis hand', Intelligent Mechatronics, InTech 9789533073002.

Journal Articles

  • El Arja, S., Jayarathna, T., Naik, G., Breen, P. and Gargiulo, G. (2020), 'Characterisation of morphic sensors for body volume and shape applications', Sensors, vol 20, no 1 .
  • Adapa, D., Raj, A., Alisetti, S., Zhuang, Z., K, G. and Naik, G. (2020), 'A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features', PLoS One, vol 15, no 3 .
  • Esposito, D., Andreozzi, E., Gargiulo, G., Fratini, A., D?Addio, G., Naik, G. and Bifulco, P. (2020), 'A piezoresistive array armband with reduced number of sensors for hand gesture recognition', Frontiers in Neurorobotics, vol 13 .
  • Asogbon Samuel, M., Williams Samuel, O., Geng, Y., Oluwagbemi, O., Ning, J., Chen, S., Naik, G., Feng, P. and Li, G. (2020), 'Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses', Computer Methods and Programs in Biomedicine, vol 184 .
  • Longmore, S., Naik, G. and Gargiulo, G. (2020), 'Laparoscopic robotic surgery : current perspective and future directions', Robotics, vol 9, no 2 .
  • Ghosh, S., Tripathy, R., Arrieta Paternina, M., Arrieta, J., Zamora-Mendez, A. and Naik, G. (2020), 'Detection of atrial fibrillation from single lead ECG signal using multirate cosine filter bank and deep neural network', Journal of Medical Systems, vol 44, no 6 .
  • Andreozzi, E., Fratini, A., Esposito, D., Naik, G., Polley, C., Gargiulo, G. and Bifulco, P. (2020), 'Forcecardiography : a novel technique to measure heart mechanical vibrations onto the chest wall', Sensors, vol 20, no 14 .
  • Al-Ali, A., Chandran, V. and Naik, G. (2020), '[In Press] Enhanced forensic speaker verification performance using the ICA-EBM algorithm under noisy and reverberant environments', Evolutionary Intelligence, .
  • Rajinikanth, V., Raj, A., Thanaraj, K. and Naik, G. (2020), 'A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection', Applied Sciences, vol 10, no 10 .
  • Tripathy, R., Arrieta Paternina, M., Arrieta, J., Zamora-Mendez, A. and Naik, G. (2019), 'Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme', Computer Methods and Programs in Biomedicine, vol 173 , pp 53 - 65.
  • Longmore, S., Lui, G., Naik, G., Breen, P., Jalaludin, B. and Gargiulo, G. (2019), 'A comparison of reflective photoplethysmography for detection of heart rate, blood oxygen saturation, and respiration rate at various anatomical locations', Sensors, vol 19, no 8 .
  • Naik, G., Gargiulo, G., Serrador, J. and Breen, P. (2019), 'Groundtruth : a Matlab GUI for artifact and feature identification in physiological signals', Frontiers in Physiology, vol 10 .
  • Parajuli, N., Sreenivasan, N., Bifulco, P., Cesarelli, M., Savino, S., Niola, V., Esposito, D., Hamilton, T., Naik, G., Gunawardana, U. and Gargiulo, G. (2019), 'Real-time EMG based pattern recognition control for hand prostheses : a review on existing methods, challenges and future implementation', Sensors, vol 19, no 20 .
  • Kandala, R., Dhuli, R., Plawiak, P., Naik, G., Moeinzadeh, H., Gargiulo, G. and Gunnam, S. (2019), 'Towards real-time heartbeat classification : evaluation of nonlinear morphological features and voting method', Sensors, vol 19, no 23 .
  • Maheshwari, K., Joseph Raj, A., Mahesh, V., Zhuang, Z., Rufus, E., Shivakumara, P. and Naik, G. (2019), 'Bilingual text detection in natural scene images using invariant moments', Journal of Intelligent and Fuzzy Systems, vol 37, no 5 , pp 6773 - 6784.
  • Naik, G., Selvan, S., Arjunan, S., Acharyya, A., Kumar, D., Ramanujam, A. and Nguyen, H. (2018), 'An ICA-EBM-based sEMG classifier for recognizing lower limb movements in individuals with and without knee pathology', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 26, no 3 , pp 675 - 686.
  • Acharyya, A., Jadhav, P., Bono, V., Maharatna, K. and Naik, G. (2018), 'Low-complexity hardware design methodology for reliable and automated removal of ocular and muscular artifact from EEG', Computer Methods and Programs in Biomedicine, vol 158 , pp 123 - 133.
  • Tripathy, R., Zamora-Mendez, A., De la O Serna, J., Arrieta Paternina, M., Arrieta, J. and Naik, G. (2018), 'Detection of life threatening ventricular arrhythmia using digital Taylor Fourier transform', Frontiers in Physiology, vol 9 .
  • Yu, H., Ye, L., Naik, G., Song, R., Nguyen, H. and Su, S. (2018), 'Nonparametric dynamical model of cardiorespiratory responses at the onset and offset of treadmill exercises', Medical and Biological Engineering and Computing, vol 56, no 12 , pp 2337 - 2351.
  • Pratihast, M., Al-Ani, A., Chai, R., Su, S. and Naik, G. (2018), 'Changes in lower limb muscle synchronisation during walking on high-heeled shoes', Healthcare Technology Letters, vol 5, no 6 , pp 236 - 238.
  • Ganesan, B., Luximon, A., Al-Jumaily, A., Balasankar, S. and Naik, G. (2017), 'Ponseti method in the management of clubfoot under 2 years of age : a systematic review', PLoS One, vol 12, no 6 .
  • Chai, R., Naik, G., Nguyen, T., Ling, S., Tran, Y., Craig, A. and Nguyen, H. (2017), 'Driver fatigue classification with independent component by entropy rate bound minimization analysis in an EEG-based system', IEEE Journal of Biomedical and Health Informatics, vol 21, no 3 , pp 715 - 724.
  • Al-Ani, A., Koprinska, I. and Naik, G. (2017), 'Dynamically identifying relevant EEG channels by utilizing channels classification behaviour', Expert Systems with Applications, vol 83 , pp 273 - 282.
  • Raka, A., Naik, G. and Chai, R. (2017), 'Computational algorithms underlying the time-based detection of sudden cardiac arrest via electrocardiographic markers', Applied Sciences, vol 7, no 9 .
  • Guo, Y., Liu, Q., Wang, A., Sun, C., Tian, W., Naik, G. and Abraham, A. (2017), 'Optimized phase-space reconstruction for accurate musical-instrument signal classification', Multimedia Tools and Applications, vol 76, no 20 , pp 20719 - 20737.
  • Naik, G., Al-Ani, A., Gobbo, M. and Nguyen, H. (2017), 'Does heel height cause imbalance during sit-to-stand task : surface EMG perspective', Frontiers in Physiology, vol 8 .
  • Al-Ali, A., Dean, D., Senadji, B., Chandran, V. and Naik, G. (2017), 'Enhanced forensic speaker verification using a combination of DWT and MFCC feature warping in the presence of noise and reverberation Conditions', IEEE Access, vol 5 , pp 15400 - 15413.
  • Naik, G., Al-Timemy, A. and Nguyen, H. (2016), 'Transradial amputee gesture classification using an optimal number of sEMG sensors : an approach using ICA clustering', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 24, no 8 , pp 837 - 846.
  • Naik, G., Selvan, S. and Nguyen, H. (2016), 'Single-channel EMG classification with ensemble-empirical-mode-decomposition-based ICA for diagnosing neuromuscular disorders', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 24, no 7 , pp 734 - 743.
  • Viola Stella Mary, M., Rajsingh, E. and Naik, G. (2016), 'Retinal fundus image analysis for diagnosis of glaucoma : a comprehensive survey', IEEE Access, vol 4 , pp 4327 - 4354.
  • Naik, G., Selvan, S., Gobbo, M., Acharyya, A. and Nguyen, H. (2016), 'Principal component analysis applied to surface electromyography : a comprehensive review', IEEE Access, vol 4 , pp 4025 - 4037.
  • Villafa?e, J., Gobbo, M., Peranzoni, M., Naik, G., Imperio, G., Cleland, J. and Negrini, S. (2016), 'Validity and everyday clinical applicability of lumbar muscle fatigue assessment methods in patients with chronic non-specific low back pain : a systematic review', Disability and Rehabilitation, vol 38, no 19 , pp 1859 - 1871.
  • Naik, G., Baker, K. and Nguyen, H. (2015), 'Dependence independence measure for posterior and anterior EMG sensors used in simple and complex finger flexion movements : evaluation using SDICA', IEEE Journal of Biomedical and Health Informatics, vol 19, no 5 , pp 1689 - 1696.
  • Guo, Y., Naik, G., Huang, S., Abraham, A. and Nguyen, H. (2015), 'Nonlinear multiscale Maximal Lyapunov Exponent for accurate myoelectric signal classification', Applied Soft Computing, vol 36 , pp 633 - 640.
  • Naik, G. and Nguyen, H. (2015), 'Nonnegative matrix factorization for the identification of EMG finger movements : evaluation using matrix analysis', IEEE Journal of Biomedical and Health Informatics, vol 19, no 2 , pp 478 - 485.
  • Arjunan, S., Kumar, D. and Naik, G. (2015), 'Independence between two channels of surface electromyogram signal to measure the loss of motor units', Measurement Science Review, vol 15, no 3 , pp 152 - 155.
  • Naik, G., Kumar, D. and Palaniswami, M. (2014), 'Signal processing evaluation of myoelectric sensor placement in low-level gestures : sensitivity analysis using independent component analysis', Expert Systems, vol 31, no 1 , pp 91 - 99.
  • Pendharkar, G., Naik, G. and Nguyen, H. (2014), 'Using blind source separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children', Biomedical Signal Processing and Control, vol 13, no 1 , pp 41 - 49.
  • Arjunan, S., Kumar, D. and Naik, G. (2014), 'Computation and evaluation of features of surface electromyogram to identify the force of muscle contraction and muscle fatigue', BioMed Research International, vol 2014 .
  • Guo, Y., Huang, S., Li, Y. and Naik, G. (2013), 'Edge effect elimination in single-mixture blind source separation', Circuits, Systems, and Signal Processing, vol 32, no 5 , pp 2317 - 2334.
  • Naik, G. and Kumar, D. (2012), 'Identification of hand and finger movements using multi run ICA of surface electromyogram', Journal of Medical Systems, vol 36, no 2 , pp 841 - 851.
  • Naik, G. and Kumar, D. (2012), 'Subtle electromyographic pattern recognition for finger movements : a pilot study using BSS techniques', Journal of Mechanics in Medicine and Biology, vol 12, no 4 .
  • Guo, Y., Wang, Q., Huang, S. and Naik, G. (2012), 'Remote rapid prototyping manufacturing network using optimization recurrent hidden Markov models', Journal of Vibration and Control, vol 18, no 14 , pp 2122 - 2128.
  • Naik, G. (2012), 'Enhancement of the ill-conditioned original recordings using novel ICA technique', International Journal of Electronics, vol 99, no 7 , pp 899 - 906.
  • Naik, G. and Wang, W. (2012), 'Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions', International Journal of Electronics, vol 99, no 10 , pp 1333 - 1350.
  • Naik, G. (2012), 'Measure of quality of source separation for sub- and super-Gaussian audio mixtures', Informatica, vol 23, no 4 , pp 581 - 599.
  • Naik, G. and Kumar, D. (2011), 'Estimation of independent and dependent components of non-invasive EMG using fast ICA : validation in recognising complex gestures', Computer Methods in Biomechanics and Biomedical Engineering, vol 14, no 12 , pp 1105 - 1111.
  • Kumar, D., Arjunan, S. and Naik, G. (2011), 'Measuring increase in synchronization to identify muscle endurance limit', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 19, no 5 , pp 578 - 587.
  • Naik, G., Arjunan, S. and Kumar, D. (2011), 'Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis : a review', Australasian Physical and Engineering Sciences in Medicine, vol 34, no 2 , pp 179 - 193.
  • Naik, G. and Kumar, D. (2011), 'Improving the quality of the audio sources using Gaussianity reduction technique', International Journal of Electronics, vol 98, no 7 , pp 949 - 959.
  • Naik, G. (2011), 'An overview of independent component analysis and its applications', Informatica, vol 35, no 1 , pp 63 - 81.
  • Naik, G., Kumar, D. and Arjunan, S. (2011), 'Towards classification of low-level finger movements using forearm muscle activation : a comparative study based on ICA and Fractal theory', International Journal of Biomedical Engineering and Technology, vol 6, no 2 , pp 150 - 162.
  • Naik, G. and Kumar, D. (2011), 'Indicator of the quality of the sensor set up : a study using surface EMG on sub-band ICA', International Journal of Innovative Computing, Information and Control, vol 7, no 3 , pp 1285 - 1298.
  • Naik, G., Kumar, D. and Palaniswami, M. (2010), 'Classification of low level surface electromyogram using independent component analysis', IET Signal Processing, vol 4, no 5 , pp 479 - 487.
  • Naik, G. and Kumar, D. (2010), 'Inter-experimental discrepancy in facial muscle activity during vowel utterance', Computer Methods in Biomechanics and Biomedical Engineering, vol 13, no 2 , pp 215 - 223.
  • Naik, G. and Kumar, D. (2010), 'Hybrid feature selection for myoelectric signal classification using MICA', Journal of Electrical Engineering, vol 61, no 2 , pp 93 - 99.
  • Arjunan, S., Kumar, D. and Naik, G. (2010), 'Features of sEMG based on source separation and fractal properties to detect wrist movements', Biomedical Engineering: Applications, Basis and Communications, vol 22, no 4 , pp 293 - 300.
  • Naik, G., Kumar, D. and Arjunan, S. (2010), 'Pattern classification of Myo-electrical signal during different Maximum Voluntary Contractions : a study using BSS techniques', Measurement Science Review, vol 10, no 1 .
  • Naik, G., Kumar, D. and Jayadeva, J. (2010), 'Twin SVM for gesture classification using the surface electromyogram', IEEE Transactions on Information Technology in Biomedicine, vol 14, no 2 , pp 301 - 308.
  • Naik, G., Kumar, D. and Jayadeva, J. (2010), 'Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognition', Biomedizinische Technik, vol 55, no 5 , pp 301 - 307.
  • Naik, G., Kumar, D., Weghorn, H. and Arjunan, S. (2010), 'Source separation techniques for optimal electrode configurations : a study on electromyography', Journal of Medical and Biological Engineering, vol 30, no 6 , pp 367 - 372.
  • Naik, G. and Kumar, D. (2009), 'Determining number of independent sources in undercomplete mixture', EURASIP Journal on Advances in Signal Processing, vol 2009 .
  • Naik, G., Kumar, D., Arjunan, S. and Palaniswami, M. (2008), 'Independent component approach to the analysis of hand gesture sEMG and facial sEMG', Biomedical Engineering: Applications, Basis and Communications, vol 20, no 2 , pp 83 - 93.
  • Djuwari, D., Kumar, D., Arjunan, S. and Naik, G. (2008), 'Limitations and applications of ICA for surface electromyogram for identifying hand gestures', International Journal of Computational Intelligence and Applications, vol 7, no 3 , pp 281 - 300.
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Surface EMG based hand gesture identification using semi blind ICA : validation of ICA matrix analysis', Electromyography and Clinical Neurophysiology, vol 48, no 3-4 , pp 169 - 180.

Conference Papers

  • Parajuli, N., Naik, G., Savino, S., Gunawardana, U., Ulloa, D., Bifulco, P., Cesarelli, M., Gargiulo, G., Sreenivasan, N., Esposito, D. and Hamilton, T. (2019), 'Electrodeless FSR linear envelope signal for muscle contraction measurement', International Conference on Electrical Engineering Research and Practice, Sydney, N.S.W..
  • Polley, C., Esposito, D., Andreozzi, E., Naik, G., Gargiulo, G., Bifulco, P. and Gunawardana, U. (2019), 'Low cost analogue front end for electronic stethoscopes application with silicone enclosure', International Conference on Electrical Engineering Research and Practice, Sydney, N.S.W..
  • Samuel, O., Asogbon Samuel, M., Geng, Y., Li, X., Pirbhulal, S., Chen, S., Naik, G., Feng, P. and Li, G. (2019), 'Spatio-temporal based descriptor for limb movement-intent characterization in EMG-pattern recognition system', International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany.
  • Asogbon Samuel, M., Williams Samuel, O., Geng, Y., Idowu, P., Chen, S., Naik, G., Feng, P. and Li, G. (2018), 'Enhancing the robustness of EMG-PR based system against the combined influence of force variation and subject mobility', Asia-Pacific Conference on Intelligent Robot Systems, Singapore.
  • Naik, G., Pendharkar, G. and Nguyen, H. (2016), 'Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensors', IEEE Engineering in Medicine and Biology Society. Annual International Conference, Orlando, Fla..
  • Gudur, V., Thallada, S., Deevi, A., Gande, V., Acharyya, A., Bhandari, V., Sharma, P., Khursheed, S. and Naik, G. (2016), 'Reconfigurable hardware-software codesign methodology for protein identification', IEEE Engineering in Medicine and Biology Society. Annual International Conference, Orlando, Fla..
  • Chai, R., Tran, Y., Naik, G., Nguyen, T., Ling, S., Craig, A. and Nguyen, H. (2016), 'Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network', IEEE Engineering in Medicine and Biology Society. Annual International Conference, Orlando, Fla..
  • Gautam, A., Rani, A., Callejas, M., Acharyya, S., Acharyya, A., Biswas, D., Bhandari, V., Sharma, P. and Naik, G. (2016), 'Shape memory alloy smart knee spacer to enhance knee functionality : model design and finite element analysis', IEEE Engineering in Medicine and Biology Society. Annual International Conference, Orlando, Fla..
  • Bhardwaj, S., Bhagyaraja, A., Shashank, R., Jadhav, P., Biswas, D., Acharyya, A. and Naik, G. (2016), 'Low complexity single channel ICA architecture design methodology for pervasive healthcare applications', IEEE Workshop on Signal Processing Systems, Dallas, Tex..
  • Al-Ani, A., Koprinska, I., Naik, G. and Khushaba, R. (2016), 'A dynamic channel selection algorithm for the classification of EEG and EMG data', International Joint Conference on Neural Networks, Vancouver, Canada.
  • Chai, R., Naik, G., Nguyen, T., Ling, S., Tran, Y. and Nguyen, H. (2016), 'Selecting optimal EEG channels for mental tasks classification : an approach using ICA', Congress on Evolutionary Computation , Vancouver, B.C..
  • Acharyya, A., Neehar, M. and Naik, G. (2015), 'An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF', IEEE International Symposium on Circuits and Systems , Lisbon, Portugal.
  • Al-Ani, A., Naik, G. and Abbass, H. (2015), 'A methodology for synthesizing interdependent multichannel EEG data with a comparison among three blind source separation techniques', ICONIP (Conference), Istanbul, Turkey.
  • Chai, R., Naik, G., Tran, Y., Ling, S., Craig, A. and Nguyen, H. (2015), 'Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module', IEEE Engineering in Medicine and Biology Society. Annual Conference, Milano, Italy.
  • Pendharkar, G., Naik, G., Acharyya, A. and Nguyen, H. (2015), 'Multiscale PCA to distinguish regular and irregular surfaces using tri axial head and trunk acceleration signals', IEEE Engineering in Medicine and Biology Society. Annual Conference, Milano, Italy.
  • Vemishetty, N., Jadhav, P., Adapa, B., Acharyya, A., Pachamuthu, R. and Naik, G. (2015), 'Affordable low complexity heart/brain monitoring methodology for remote health care', IEEE Engineering in Medicine and Biology Society. Annual Conference, Milano, Italy.
  • Mopuri, S., Reddy, P., Acharyya, A. and Naik, G. (2015), 'Fast underdetermined BSS architecture design methodology for real time applications', IEEE Engineering in Medicine and Biology Society. Annual Conference, Milano, Italy.
  • Bhardwaj, S., Jadhav, P., Adapa, B., Acharyya, A. and Naik, G. (2015), 'Online and automated reliable system design to remove blink and muscle artefact in EEG', IEEE Engineering in Medicine and Biology Society. Annual Conference, Milano, Italy.
  • Jadhav, P., Shanamugan, D., Chourasia, A., Ghole, A., Acharyya, A. and Naik, G. (2014), 'Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder', IEEE Engineering in Medicine and Biology Society. Annual Conference, U.S..
  • Naik, G., Acharyya, A. and Nguyen, H. (2014), 'Classification of finger extension and flexion of EMG and Cyberglove data with modified ICA weight matrix', IEEE Engineering in Medicine and Biology Society. Annual Conference, Chicago, Ill..
  • Naik, G., Guo, Y. and Nguyen, H. (2013), 'A new approach to improve the quality of biosensor signals using Fast Independent Component Analysis : feasibility study using EMG recordings', IEEE Engineering in Medicine and Biology Society. Annual Conference, Osaka, Japan.
  • Guo, Y., Naik, G. and Nguyen, H. (2013), 'Single channel blind source separation based local mean decomposition for biomedical applications', IEEE Engineering in Medicine and Biology Society. Annual Conference, Osaka, Japan.
  • Naik, G., Kumar, D. and Arjunan, S. (2012), 'Measure of increase in motor unit synchronisaton for young and old using sEMG', ISSNIP Biosignals and Biorobotics Conference, Manaus, Brazil.
  • Arjunan, S., Kumar, D., Bastos, T. and Naik, G. (2012), 'Investigation of age and gender related changes in force of isometric contraction, muscle endurance and muscle strength among young and old healthy people', ISSNIP Biosignals and Biorobotics Conference, Manaus, Brazil.
  • Naik, G. and Kumar, D. (2011), 'Evaluation of higher order statistics parameters for multi channel sEMG using different force levels', IEEE Engineering in Medicine and Biology Society. Annual International Conference , Boston, Mass..
  • Naik, G., Kumar, D. and Arjunan, S. (2011), 'Kurtosis and negentropy investigation of myo electric signals during different MVCs', ISSNIP Biosignals and Biorobotics Conference, Vitoria, Brazil.
  • Arjunan, S., Kumar, D., Wheeler, K., Shimada, H. and Naik, G. (2011), 'Spectral properties of surface EMG and muscle conduction velocity : a study based on sEMG model', ISSNIP Biosignals and Biorobotics Conference, Vitoria, Brazil.
  • Naik, G., Kumar, D. and Arjunan, S. (2010), 'Independent component analysis for classification of surface electromyography signals during different MVCs', International Biosignal Processing Conference, Berlin, Germany.
  • Arjunan, S., Kumar, D. and Naik, G. (2010), 'Fractal feature of sEMG from flexor digitorum superficialis muscle correlated with levels of contraction during low-level finger flexions', IEEE Engineering in Medicine and Biology Society. Annual Conference, Argentina.
  • Arjunan, S., Kumar, D. and Naik, G. (2010), 'A machine learning based method for classification of fractal features of forearm sEMG using Twin Support vector machines', IEEE Engineering in Medicine and Biology Society. Annual Conference , Buenos Aires, Argentina.
  • Naik, G., Kumar, D. and Weghorn, H. (2009), 'Quality investigation of sensor setups in ICA signal deconvolution : application in gesture analysis based on SEMG bio-signal processing', IADIS International Conference Informatics , Algarve, Portugal.
  • Naik, G., Kumar, D., Wheeler, K. and Arjunan, S. (2009), 'Estimation of muscle fatigue during cyclic contractions using source separation techniques', DICTA (Conference), Melbourne, Vic..
  • Naik, G., Kumar, D. and Arjunan, S. (2009), 'Use of sEMG in identification of low level muscle activities : features based on ICA and Fractal dimension', IEEE Engineering in Medicine and Biology Society. Annual Conference, Minneapolis, Minn..
  • Naik, G., Kumar, D., Yadav, V., Wheeler, K. and Arjunan, S. (2009), 'Testing of motor unit synchronization model for localized muscle fatigue', IEEE Engineering in Medicine and Biology Society. Annual Conference, Minneapolis, Minn..
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Source identification and separation using global matrix parameters of ICA', IEEE International Conference on Computer and Information Technology. Workshops, Sydney, N.S.W..
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Multi run ICA and surface EMG based signal processing system for recognising hand gestures', IEEE International Conference on Computer and Information Technology, Sydney, N.S.W..
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Addressing source separation and identification issues in surface EMG using blind source separation', IEEE Engineering in Medicine and Biology Society. Annual Conference, Vancouver, B.C..
  • Arjunan, S., Weghorn, H., Kumar, D., Naik, G. and Yau, W. (2008), 'Recognition of human voice utterances from facial surface EMG without using audio signals', International Conference on Enterprise Information Systems, Funchal, Madeira.
  • Naik, G., Kumar, D. and Arjunan, S. (2008), 'Reliability of facial muscle activity to identify vowel utterance', TENCON, Hyderabad, India.
  • Naik, G., Kumar, D. and Arjunan, S. (2008), 'Multi modal gesture identification for HCI using surface EMG', International MindTrek Conference, Tampere, Finland.
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Source identification and separation using sub-band ICA of sEMG', TENCON, Hyderabad, India.
  • Naik, G., Kumar, D. and Palaniswami, M. (2008), 'Identification of independent biological sensors-electromyogram example', IEEE Engineering in Medicine and Biology Society. Annual Conference, Vancouver, B.C., Canada.

Current Projects

Title: NSW TechVoucher - Development of combined electrical/mechanical sensing for human physiological monitoring
Funder:
  • Medical Monitoring Solutions Pty Ltd
  • NSW Treasury
Western Researchers: Gaetano Gargiulo, Paul Breen and Ganesh Naik
Years: 2020-07-01 - 2020-12-31
ID: P00026524

Western Sydney University

Locked Bag 1797
Penrith NSW 2751

Tel: +61 2 9852 5222

ABN 53 014 069 881
CRICOS Provider No: 00917k

Visit our mobile site