Dr John Fang

Book and book chapters

• Q. Fang, X. Wang, S. Y. Lee, “Physiologic Signal Processing on Handheld Computing Platform”, in Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies, IGI Global, USA, Book edited by Wen-Chen Hu and Yanjun Zuo, (accepted, will be published in 2009)
• Qiang Fang, Fahim Sufi and Irena Cosic, “A Mobile Device Based ECG Analysis System”, in Data Mining in Medical and Biological Research, Book edited by: Eugenia G. Giannopoulou, ISBN 978-953-7619-30-5, pp. 320, December 2008, I-Tech, Vienna, Austria
• Q. Fang (Editor), “Proceedings of the 2007 International Workshop o Mobile Computing Technologies for Pervasive healthcare”, RMIT University, Melbourne, Australia, December 2007, ISBN: 978-0-646-48230-9

Peer reviewed journal papers

• F. Sufi, Q. Fang, I. Khalil and S. S. Mahmoud, “Novel Methods of Fast Cardiovascular Diagnosis in Wireless Telecardiology,” IEEE Journal on Selected Areas in Communications, Vol. 27, No. 4, 2009pp 537-552.
• D. Cvetkovic, Q. Fang, I. Cosic, “Multiple Human Electrophysiological Responses to Extremely Low Frequency Pulsed Electromagnetic Field Exposures: A Pilot Study”, Estonian Journal of Engineering, Vol. 14, No. 2, 2008, pp. 3176-3186
• E. Pirogova, I. Cosic, Q. Fang and V. Vojisavljevicÿ “Use of infrared and visible light radiation as modulator of protein activity”, Estonian Journal of Engineering, Vol 14, No. 2, 2008, pp. 107–
• E. Pirogova, V. Vojisavljevic, Q. Fang, I. Cosic, “Computational analysis of DNA photolyases using digital signal processing methods”, Molecular Simulation, vol. 32, no. 14, pp. 1195–1203, 2006.
• I. Cosic, D. Cvetkovic, Q. Fang, H. Lazoura, E. Jovanov, “Human Electrophysiological Signal Responses to ELF Schumann Resonance and Artificial Electromagnetic Fields”, FME Transactions, vol. 34, pp. 93-103, 2006.
• S. Mahmoud, Z. Hussien, I. Cosic, *Q. Fang, “Time-Frequency Analysis of Normal and Abnormal Biological Signals”, Biomedical Signal Processing and Control, vol.1, no.1, pp. 33-43 2006.
• E. Pirogova, Q. Fang, M. Akay, and I. Cosic, “Investigation of the Structure and Function Relationships of Oncogene Proteins,” Proceedings of the IEEE, vol. 90, pp. 1859-1867, 2002.
• Q. Fang, C. de Trad, and I. Cosic, “Protein Sequences Comparison Based on the Wavelet Transform Approach,” Protein Engineering, vol.15, no.3, pp. 193-203, 2002.
• C. de Trad, Q. Fang, and I. Cosic, “The Resonant Recognition Model (RRM) Predicts Amino Acid Residues in Highly Conservative Regions of the Hormone Prolactin (PRL),” Biophysical Chemistry, vol. 84, no. 2, pp. 149-157, 2000.
• Q. Fang and I. Cosic, “Protein Structure Analysis Using the Resonant Recognition Model and Wavelet Transform,” APESM, vol. 21, No 4, pp. 179-185, 1998.

Refereed conference papers

• X. Li, Q. Fang, V. Vojisavljevic, “An XML Based Middleware for ECG Format Conversion”, 31st Annual International IEEE EMBS Conference, USA, Sep., 2009. (accepte)
• Q. Fang, “Body EMF Absorption: A Design Issue for Implantable Medical Electronics”, Proceedings of the 7th International Conference on Bioelectromagnetism, Rome, Italy, May, 2009, pp. 101-106.
• F. Sufi, Q. Fang*, I. Cosic, “A Mobile Phone Based Intelligent Scoring Approach for Assessment of Critical Illness”, Proceedings of the 5th International Conference on Information Technology and Application in Biomedicine, China, 2008, pp. 290-293
• F. Sufi, I. Khalil, Q. Fang and I. Cosic, “A Mobile Web Grid based Physiological Signal Monitoring System”, Proceedings of the 5th International Conference on Information Technology and Application in Biomedicine, China, 2008, pp. 252-255
• F. Sufi, Q. Fang*, I. Cosic, “ECG R-R Peak Detection on Mobile Phones”, Proceedings of the 29th Annual International Conference of the IEEE EMBS, Cité Internationale, Lyon, France, August 23-26, 2007.
• Q. Fang*, X. Liu and I. Cosic, “Bioimpedance Study on Four Apple Varieties”, IFMBE Proceedings of 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography, Austria, 2007, pp. 114–117
• D. Cvetkovic, Q. Fang, S.S. Mahmoud and I. Cosic, “Human electrophysiological signal responses to non-continuous and consecutive 5 day ELF PEMF exposure: A pilot study”, IFMBE Proceedings of 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography, Austria, 2007, pp. 729-732
• Cosic, E. Jovanov, D. Cvetkovic, Q. Fang and H. Lazoura, “Human Electrophysiological Signal Responses to ELF Schumann Resonance and Artificial Electromagnetic Fields," Symposium 150 Years of Nikola Tesla, Belgrade, Serbia, 2006.
• F. Sufi, I. Cosic, Q. Fang*, “Design and Implementation of an Intelligent Agent System for Genome Data Retrieval”, in Proceedings of International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 2006.
• S. Mahmoud, Q. Fang*, Z. Hussian and I Cosic, “Adaptive Transmit Diversity with Orthogonal Space-Time block Coding for Telemedicine Application”, in Proceedings of 28th IEEE EMBS Conference, New York, USA, 2006.
• S. Mahmoud, Q. Fang*, D. Davidovic and I Cosic, “A Time-Frequency Approach for the Analysis of Normal and Arrhythmia Cardiac Signals”, in Proceedings of 28th IEEE EMBS Conference, New York, USA, 2006.
• F. Sufi, Q. Fang*, S. Mahmoud and I. Cosic, “A Mobile Phone Based Intelligent telemonitoring Platform”, in Proceeding of 3rd IEEE-EMBS International Sumer School & Symposium on Medical Devices and Biosensors, Boston, USA, 2006, pp101-105
• U. Annaiyan, K. Kalantar-zadeh, Q. Fang and I. Cosic, “Development of A Conductive Photoresist with A Mixture of SU-8 and HCl Doped Polyaniline,” in Proceedings of IEEE Tencon’05, Melbourne, Australia, 2005.
• I. Cosic, Q. Fang, E. Pirogova, and H. Rudolph, “Biorhythms: Periodicity in living systems”, in Proceedings of 2nd IASTED Biomedical Engineering Conference (CD ROM), Innsbruck, Austria, 2005.
• F. Sufi, Q. Fang*, I. Cosic and R. Ferguson, “Client Side Decompression Technique Provides Faster DNA Sequence Data Delivery,” in Proceedings of 27th IEEE EMBS Conference, Shanghai, China, 2005.
• S. Mahmoud, Q. Fang*, I. Cosic and Z. Hussain, “Effects of Extremely Low Frequency Electromagnetic Fields on Electrocardiogram: Analysis with Quadratic Time-Frequency Distributions,” in Proceedings of 27th IEEE EMBS Conference, Shanghai, China, 2005.
• Q. Fang*, S. Tan, B. Ahmed, D. Berlin, I. Cosic, “A PDA Based Ambulatory Human Skin Resistance Measuring System,” in Proceedings of the 5th IASTED International Conference on Telehalth, Banff, Canada, 2005, pp. 17-22.
• Q. Fang, R. Bedi, I. Cosic, “Measurement of skin electric resistance on biological active points with various contact pressures,” pp 415-418, in Proceedings of the XII International conference on electrical bioimpedance & VEIT, Gdansk, Poland, 2004, pp. 415-418.
• Q. Fang, R. Bedi, B. Ahmed, I. Cosic, “Comparison of skin resistance between biological active points of left and right hands with various contact pressures,” in Proceedings of 26th IEEE EMBS conference, San Francisco, USA, 2004, pp. 2995-2998 .
• F. Sufi, I. Cosic, Q. Fang, “XQuery Based Intelligent Search system for Genomic Data Retrieval,” in Proceedings of 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Australian, 2004, pp. 535-541.
• Q. Fang and I. Cosic, “Can Short Time Fourier Transform Detect the Localised Latent Periodicity of A Protein Sequence?” in Proceedings of IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, Keihanna, Japan, 2003, pp. 66 – 67
• E. Pirogova, Q. Fang and I. Cosic, “Evaluation of the RRM Model Using Dehydrogenase Protein as Example,” in Proceedings of 5th IFAC Symposium on Modelling and Control in Biomedical Systems, 2003, pp. 341-346.
• E. Pirogova, Q. Fang and I. Cosic, “DSP Methods in Structure-Function Analysis of Proto-oncogene Kinases,” in Proceedings of World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, 2003, CD-ROM.
• I. Cosic, C. de Trad, Q. Fang and M. Akay, "Protein Sequences Analysis Using the RRM Model And Wavelet Transform Methods: A Comparative Study Analysis,” Proceedings of IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, 2002, pp. 405-406.
• I. Cosic and Q. Fang, “Evaluation of Different Wavelet Constructions (Designs) for Analysis of Protein Sequences,” in Proceedings of the 14th International Conference on Digital Signal Processing, 2002, pp. 1117 – 1120.
• C. de Trad, Q. Fang and I. Cosic, "An Overview of Protein Sequence Comparisons Using Wavelets," in Proceedings of the 2nd Conference of the Victorian Chapter of the IEEE EMBS, 2001.
• I. Cosic, Q. Fang and E. Pirogova, "Modification of the RRM model using Wavelet Transform and Ionisation Constant to Predict Protein Active Sites,” in Proceedings of IEEE EMBS 21, 1999, pp. 1215-1217.
• Q. Fang and I. Cosic, ”Prediction of Active Sites of Fibroblast Growth Factors Using Continuous Wavelets Transform and the Resonant Recognition Model,” in Proceedings of The Inaugural Conference of the Victorian Chapter of the IEEE EMBS, 1999, pp. 211-214.
• B. Lithgow and Q. Fang, “Wavelet Analysis for ABR Data,” in Proceedings of The Inaugural Conference of the Victorian Chapter of the IEEE EMBS, 1999, pp. 50-53.
• J. Zakis, B. Lithgow, I. Coisc, and Q. Fang, “Kirlian Photograph Techniques and Equipment,” in Proceedings of The Inaugural Conference of the Victorian Chapter of the IEEE EMBS, 1999, pp. 160-164.
• I. Cosic and Q. Fang, “Prediction of Protein Active Site Using Digital Signal Processing Methods”, in Proceedings of 2nd International Conference on Bioelectromagnetism, 1998, pp. 69-70.
• E. Pirogova, Q. Fang, and I. Cosic, “Analysis of Amino Acid Parameters in the Resonant Recognition Model”, in Proceedings of 2nd International Conference on Bioelectromagnetism, 1998, pp. 71-72.
• Q. Fang and I. Cosic, ”Protein Functionality Classification Using A Bayesian Classifier and WPT Energy Map Method,” in Proceedings of EPSM98, 1998, Tasmania.
• Q. Fang and I. Cosic, “Finding Characteristic Bands form Protein Sequences Using Wavelet Packet Transform and Energy Map,” in Proceedings of 2nd International Conference on Bioelectromagnetism, 1998, pp. 37-38.
• Q. Fang and I. Cosic, “Using Continuous Wavelets Transform to Characterise Hot Spots of Amino Acids Sequences”, in Proceedings of PERMIT'97, 1997, Adelaide.
• Q. Fang and I. Cosic, “Wavelet Transform Applied in Protein Structure Analysis”, in Proceedings of 22nd Annual Lorne Conference on Protein Structure and Function, 1997, B35.
• I. Cosic, G. Forsberg, and Q. Fang, “Prediction of IGFBP Active Sites and Comparison with the Experimental Data”, in Proceedings of 21st Annual Lorne Conference on Protein Structure and Function, 1996.
• Q. Fang and I. Cosic, “Protein Structure Analysis Using A Discrete Wavelet Transform Approach”, in Proceedings of World Congress on Medical Physics and Biomedical Engineering, 1997.
• I. Cosic and Q. Fang, “Problem in Using FFT Versus DFT in the Resonant Recognition Model”, in Proceedings of 17th Annual International Conference of IEEE EMBC (CD ROM), 1995.

Other publications

• Q. Fang, I. Cosic, D. Cvetkovic, E. Pirogova, “Pilot Fatigue and Stress Monitoring System”, Australian JSF Advanced Technology and Innovation Conference, Melbourne, Australia, July 2007.
• I. Cosic, D. Cvetkovic, Q. Fang, “Skin Impedance of Acupuncture Points and Meridians at Extremely Low Frequency”, XIII International Conference on Electrical Bioimpedance and VIII Conference on Electrical Impedance Tomography, ICEBI Proceedings, Graz, Austria, Aug-Sep 2007.
• D. Cvetkovic, Q. Fang, H. Lazoura and I. Cosic, “Human Skin Impedance and Electroencephalographic Responses to ELF Geomagnetic Schumann Resonances and Artificial Magnetic Field Exposures”, Nikola Tesla 150th Anniversary Conference, Melbourne, Australia, 2006.
• Q. Fang and I. Cosic, "Refinement of The Resonant Recognition Model Using Digital Windowing and Blackman-Tukey Method," Monash University, Technical Report, TR-96-12, 1996, ISSN1326-5989.
• Q. Fang (editor), “Proceedings of 2004 RMIT Neural Engineering and Biomedical Informatics workshop,” SECE, RMIT University, March, 2004.
• C. de Trad, Q. Fang and I. Cosic, “Amino acid residues is highly conserved regions of the hormone prolactin (PRL) are predicted by the resonant recognition model (RRM) and the continuous wavelet transform (CWT) method,” Biophysical Journal, 2000, vol.27, no. 1, pp: 400A-400A (4.627).