User:Mirza M Baig

Mirza Mansoor Baig currently based in Auckland, New Zealand and working in the field of Electronics, Electrical, Biomedical, telehealth, bioinformatics, intelligent systems and healthcare Engineering. Principal developer and designer of clinical expert system and diagnostic systems; FLMS, FLMS-2 and currently working on vital signs monitoring, smart patient diagnosis and decision support system for older adults.

Education
Bachelor's Degree - Graduated in 2007, majoring in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University JNTU, Hyderabad.

Master of Engineering Studies - Joined Auckland University of Technology in 2008, successfully completed two course papers (Digital Signal Processing and its Applications and Asset Management).

Master of Engineering - Graduated in 2010, majoring in Electronics and Electrical Engineering from Auckland University of Technology (AUT University).

Doctor of Philosophy (PhD), recently concluded from Auckland University of Technology.

Awards and Scholarships
Recent
 * Strategic Research Investment Funding – 2014
 * Summer Research Award, AUT University – 2013-2014
 * Freemasons’ Scholarship Award, Freemasons, New Zealand – 2013
 * Doctoral Research Excellence Award (Laptop), AUT University – 2012
 * Freemasons’ Scholarship Award, Freemasons, New Zealand – 2012

Publications
Recent Publications

Book & Book Chapters

 * Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2014). mHealth Monitoring Systems for Hospitalised Older Adults – Current Issues and Challenges. In S. Adibi (Ed.), (accepted) Mobile Health (mHealth): The Technology Road Map USA: Springer.
 * Baig, M. M. (2013). Smart Monitoring Systems for Diagnosis of Anaesthesia Related Events: A Computerized Anaesthesia Monitoring & Diagnostic System using Fuzzy Logic Modelling: LAP Lambert Academic Publishing. Retrieved from http://www.amazon.com/Monitoring-Systems-Diagnosis-Anaesthesia-Related/dp/3659366471

Refereed Journal Articles

 * Baig, M. M., GholamHosseini, H., Lindén, M. & Connolly, M. J. (2014). Review of Vital Signs Monitoring Systems – Patient’s Acceptability, Issues and Challenges. (accepted), Journal of Neuroscience and Biomedical Engineering.
 * Baig, M. M., Gholamhosseini, H., & Luo, D. (2014). A Secure Wireless Telehealthcare Monitoring System and its Web Application. Applied Mechanics and Materials, 541-542(2014), 1309-1312. doi:10.4028/www.scientific.net/AMM.541-542.1309
 * Baig, M. M., GholamHosseini, H., & Harrison, M. J. (2013). Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia. Computers in Biology and Medicine, 43(6), 683-692. doi:http://dx.doi.org/10.1016/j.compbiomed.2013.01.023
 * Baig, M. M., & Gholamhosseini, H. (2013). Smart Health Monitoring Systems: An Overview of Design and Modeling. Journal of Medical Systems, 37(2), 1-14. doi:10.1007/s10916-012-9898-z
 * Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013). A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Medical & Biological Engineering & Computing, 51(5), 485-495. doi:10.1007/s11517-012-1021-6

Refereed Conference Papers

 * Baig, M. M., Gholamhosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June). Real-time Vital Signs Monitoring and Interpretation System for Early Detection of Multiple Physical Signs in Older Adults (accepted) IEEE, USA. Symposium conducted at the meeting of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Valencia, Spain.
 * Baig, M. M., Gholamhosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June). A Wireless Patient Monitoring System for Hospitalized Older Adults: Acceptability, Reliability and Accuracy Evaluation (accepted) IEEE, USA. Symposium conducted at the meeting of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Valencia, Spain.
 * Dhar, S., Mukhopadhyay, S. K., Mitra, S., Baig, M. M., & Mitra, M. (2014, 31 January – 2 February). Noise Reduction and Lossless ECG Encoding. presented at the meeting of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC 2014), University of Calcutta, India. ISBN: 978-1-4799-2044-0
 * Dhar, S., Mukhopadhyay, S. K., Mitra, S., Baig, M. M., & Mitra, M. (2014, 31 January – 2 February). Noise Reduction and ECG Feature Extraction Using Interpolation and Hilbert Transform. presented at the meeting of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC 2014), University of Calcutta, India. ISBN: 978-1-4799-2044-0

For complete list of publications visit: Google Scholar or Official website.

Thesis

 * Mirza Mansoor Baig. (2010). Smart Monitoring System for Alert Generation during Anaesthesia, Master thesis, AUT University, Auckland, NZ.


 * Mirza Mansoor Baig. (2007). DC Motor Control using Fuzzy Logic Controller. Bachelor thesis, JNTU University, India.

More Information
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