image
Mirza Baig

Publications

Book

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

Book Chapters

  1. Baig M.M., Afifi S., GholamHosseini H., Mirza F. (2019) Managing Long-Term Conditions: Wearable Sensors and IoT-Based Monitoring Applications. In: Gu D., Dupre M. (eds) Encyclopedia of Gerontology and Population Aging. Springer, Cham
  2. GholamHosseini, H., Baig, M. M., Meintjes, A., Farhaan, M. & Lindén, M. (2017). Smartphone-based Blood Pressure Monitoring for Falls Risk Assessment: Techniques and Technologies. In Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies. CH 10. IET Publishing. 1049/PBHE009E_ch. Available at: http://digital-library.theiet.org/content/books/10.1049/pbhe009e_ch10
  3. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2016). Tablet-based clinical decision support system for hospitalised older adults. In Active and Assisted Living: Technologies and Applications. CH 16, p.p 311-326. IET Publishing. ISBN: 978-1-84919-987-2. Available at: http://www.theiet.org/resources/books/healthcare/acassliving.cfm
  4. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). mHealth Monitoring System for Hospitalised Older Adults–Current Issues and Challenges. In Mobile Health (pp. 299-317). Springer International Publishing. Available at : http://www.springer.com/engineering/biomedical+engineering/book/978-3-319-12816-0

Journals

  1. Davidson, T., Mirza, F., & Baig, M. M. (2021). Impact of socio-economic status and race on emergency hospital admission outcomes: Analysis from hospital admissions between 2001 and 2012. Health Services Management Research, 09514848211012189.
  2. Baig, M. M., GholamHosseini, H., Afifi, S., & Lindén, M. (2021). A systematic review of rapid response applications based on early warning score for early detection of inpatient deterioration. Informatics for Health and Social Care, 46(2), 148-157.
  3. Wang, S., Mirza, F., & Baig, M. M. (2021). A predictive model for identifying health trends among Māori and Pacific people-analysis from ten years of New Zealand Public Hospital discharges. International Journal of Medical Engineering and Informatics, 13(3), 190-199.
  4. Baig, M. M., GholamHosseini, H., Gutierrez, J., Ullah, E., & Lindén, M. (2021). Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications. Applied Clinical Informatics, 12(01), 001-009.
  5. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Spyker, A., Armstrong, D., Whittaker, R., Robinson, T. and Ullah, E., 2020. A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model. Medical & biological engineering & computing, 58(7), pp.1459-1466.
  6. Baig, M. M., Afifi, S., GholamHosseini, H., & Ullah, E. (2020). Deterioration to decision: a comprehensive literature review of rapid response applications for deteriorating patients in acute care settings. Health and Technology, 10(3), 567-573.
  7. Hosseini, H. G., Baig, M. M., & Lindï, M. (2020). A Smartphone-based Obesity Risk Assessment Application Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. European Journal of Biomedical Informatics.
  8. Baig, M. M., Afifi, S., GholamHosseini, H., & Ullah, E. (2019). Deterioration to decision: a comprehensive literature review of rapid response applications for deteriorating patients in acute care settings. Health and Technology, p.p. 1-7
  9. Baig, M.M., Gholamhosseini, H., Mirza, F., Afifi, S., Robinson, R., Chapman, L., Houghton, H., Connolly, M. J., Whittaker, R. and Ullah, E. (2019). VitalsAssist—a mHealth application for early detection and escalation of deteriorating patients based on national early warning score. New Zealand Medical Journal (NZMJ), Vol 132 No 1498, NZMJ 12 July 2019 p.p. 119. ISSN: 1175-8716
  10. Baig, M. M., Afifi, S., GholamHosseini, H., & Mirza, F. (2019). A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults–a Focus on Ageing Population and Independent Living. Journal of medical systems, 43(8), 233.
  11. Ubaid, A., Mirza, F., Baig, M. M., & GholamHosseini, H. (2019). Identifying the relationship between unstable vital signs and intensive care unit (ICU) readmissions: an analysis of 10-year of hospital ICU readmissions. Health and Technology, 9(1), 77-85.
  12. Junqueira, A. R. B., Mirza, F., & Baig, M. M. (2019). A machine learning model for predicting ICU readmissions and key risk factors: analysis from a longitudinal health records. Health and Technology. doi:10.1007/s12553-019-00329-0
  13. Jia, X., Baig, M. M., Mirza, F., & GholamHosseini, H. (2019). A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine, 2019, 1-11. doi:10.1155/2019/8392348
  14. Gholamhosseini, H., Baig, M., Maratas, J., Mirza, F., & Lindén, M. (2019). Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. Studies in health technology and informatics, 261, 91-96.
  15. Mirza, F., Koli, N. V., Baig, M., & Ullah, E. (2018). An Agent-Based Modelling Approach for Scheduling and Management of Elective Surgeries. SM Journal of Health And Medical Informatics, 2(1). Retrieved from https://smjournals.com/health-medical-informatics/download.php?file=fulltext/smjhmi-v2-1004.pdf
  16. Moqeem, A., Baig, M., Gholamhosseini, H., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience: A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health, 1(3). Retrieved from https://crimsonpublishers.com/tteh/pdf/TTEH.000511.pdf
  17. Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2018). Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Aging Clinical and Experimental Research, 30(11). doi:10.1007/s40520-018-1026-6
  18. Moqeem, A., Baig, M., Gholamhosseini, H., Mirza, F., & Linden, M. (2018). Medical device integrated vital signs monitoring application with real-time clinical decision support. Studies in Health Technology and Informatics, 249. doi:10.3233/978-1-61499-868-6-189
  19. Baig, M. M., GholamHosseini, H., Moqeem, A., Farhaan, M. & Lindén, M. (2017). A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption. Journal of medical systems, 41(7), 1-9.
  20. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2016). Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs. Aging Clinical and Experimental Research (available online first), pp. 1-10. doi: 10.1007/s40520-015-0510-5 (Available at: http://link.springer.com/article/10.1007/s40520-015-0510-5)
  21. GholamHosseini, H., Meintjes, A., Baig, M. M., & Lindén, M. (2016). Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time. Studies in health technology and informatics, 224, 84-89.
  22. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalized older adults. Physiological measurement, 36 (10), 2069-2088
  23. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Remote Patient Monitoring System: Evaluation of Medical Devices from Patients’ Perspective. Journal of Health Care and Informatics Review Online, 18(1), 25-37. ISSN 1174-3379. Available at http://www.hinz.org.nz/journal/2014/07/Remote-Patient-Monitoring-System–Evaluation-of-Medical-Devices-from-Patients—-Perspective/1063
  24. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Mobile healthcare applications: system design review, critical issues and challenges. Australasian Physical & Engineering Sciences in Medicine, 1-16. doi:10.1007/s13246-014-0315-4
  25. Baig, M. M., GholamHosseini, H., Lindén, M. & Connolly, M. J. (2014). Review of Vital Signs Monitoring Systems – Patient’s Acceptability, Issues and Challenges. Journal of Neuroscience and Biomedical Engineering, 2(1), 2-13. doi: 10.2174/2213385202999140820115756
  26. 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
  27. 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
  28. 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
  29. 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
  30. Baig, M. M., GholamHosseini, H., & Harrison, M. J. (2012). Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre. WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, 11(1), 21-32
  31. Baig, M. M., GholamHosseini, H., Kouzani, A., & Harrison, M. (2011). Anaesthesia monitoring using fuzzy logic. Journal of Clinical Monitoring and Computing, 25(5), 339-347. doi:10.1007/s10877-011-9315-z

Conference Papers

  1. Baig, M. M., GholamHosseini, H., & Ahmad, F. (2020, July). A Usability and User-Experience Analysis of VitalsAssist: A mHealth Application to Monitor Vital Signs in Acute Care Settings. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5132-5135). IEEE.
  2. Baig, M. M., GholamHosseini, H., Ahmad, F., Moqeem, A. A., Mirza, F., and Ullah, E (2019) VitalsAssist: A Usability Study on mHealth Application to Monitor Vital Signs in Acute Care Settings. Poster accepted in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE EMBC 2019
  3. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Armstrong, D., Whittaker, R., Robinson, T., Mirza, F. and Ullah, E. (2019). Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE EMBC 2019.
  4. Jia, X., Mirza, F., Baig, M. M., & Hosseini, H. G. (2019). A Cox-based Model for Predicting the Risk of Cardiovascular Disease. Conf-IRM, 2019 AIS.
  5. Baig, M. M., Hosseini, H. G., Afifi, S., & Mirza, F. (2019). Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. Conf-IRM, 2019 AIS.
  6. Mansouri, S. R., Lowe, A., Hosseini, H. G., & Baig, M. M. (2019). Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using Continuous Wavelet Transform and Convolutional Neural Network. Conf-IRM, 2019 AIS.
  7. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Armstrong, D., Whittaker, R., Robinson, T., Mirza, F. and Ullah, E. (2019). Predicting Patients at Risk of 30-Day Unplanned Hospital Readmission. Digital Health: Changing. The Way Healthcare Is Conceptualised And Delivered, (2019) 20.
  8. Karamchandani, H., Naeem, M. A., Mirza, F., & Baig, M. M. (2019). Improving Post-Hospital Discharge Management by Implementing the Discharge Summary on a Mobile Application. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. doi:10.23919/ICMU.2018.8653261
  9. Gholamhosseini, H., Baig, M. M., Rastegar, S., & Lindén, M. (2018, June). Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio. In pHealth (pp. 77-83).
  10. Moqeem, A. A., Baig, M. M., Gholamhosseini, H., Mirza, F., & Lindén, M. (2018, June). Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support. In pHealth (pp. 189-193).
  11. Baig, M. M., Robinson, R., and Spyker, A. (2018). A Public Website for Kiwis – An Authentic Web Library of Clinical Risk Assessments, Algorithms, Tools, Calculators and Predictive Machine Learning Models. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  12. Baig, M.M., Zhang, E., Robinson, R., Ullah, E. and Whittaker, R (2018). Measuring the Accuracy of Patients at risk of Hospital Readmission (PARR) and LACE risk scores for the New Zealand Population. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  13. Baig, M., Mirza, F., & Gribben, B. (2018). Predicting Hospital Admission Risk Using Primary and Secondary Data Sources. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  14. Baig, M., Moqeem, A., Gholamhosseini, H., & Mirza, F. (2018). Clinician-centered Mobile Application Design Framework and Clinical Decision Support for Hospitals. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  15. Baig, M. M., Moqeem, A., Gholamhosseini, H., Mirza, F., & Ullah, E. (2018). Vital Signs Monitoring and Decision Support Application – A 6S Framework for User-centred Design Approach for mHealth Applications. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 344-355). Kuala Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  16. Baig, M. M., Mirza, F., Gholamhosseini, H., Gutierrez, J., & Ullah, E. (2018). Automated and Early detection of long-term conditions using a real-time wearable patient monitoring system. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 2244-2245). Kaula Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  17. Baig, M.M., Zhang, E., Robinson, R., Ullah, E. and Whittaker, R. (2018). Comparison and Evaluation of Patient at Risk of Hospital Re-admission (PARR) and LACE Risk Score using New Zealand Hospital Admissions. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 344-355). Kuala Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  18. Baig, M., Mirza, F., GholamHosseini, H., Gutierrez, J., & Ullah, E. (2018, July). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4456-4459). IEEE.
  19. Nguyen, H., Mirza, F., Naeem, M. A. & Baig, M. M. (2017). Detecting Falls Using a Wearable Accelerometer Motion Sensor, (accepted in) Proceedings of 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2017), November, 7–10, Melbourne, Australia
  20. Asghar, M. R., Lee, T. H., Baig, M. M., Ullah, E., Russello, G. & Dobbie, G. (2017).  Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources, (accepted) at the 2017 IEEE 13th International Conference on e-Science, eScience 2017, October 24th, Auckland, New Zealand
  21. Baig, M. M., GholamHosseini, H. & Lindén, M. (2017). A Mobile Application for Real-time Vital Signs Monitoring and Clinical Decision Support with Integrated Medical Devices, accepted at the Medical Technology Days -Medicinteknikdagarna (MTD), Västerås, Sweden, 10-11 October, 2017
  22. Baig, M. M., GholamHosseini, H. & Lindén, M. (2016). Machine Learning-based Clinical Decision Support System for Early Diagnosis from Real-time Physiological Data, (accepted) at The IEEE TENCON – Technologies for Smart Nation (TENCON 2016), 22-25 November, Marina Bay Sands, Singapore. ISBN: 978-1-5090-2596-1
  23. GholamHosseini, H., Baig, M. M., Farhaan, M. & Dehan, L. (2016). Smartphone-based Continuous Blood Pressure Monitoring Application – Robust Security and Privacy Framework, (accepted) at The IEEE TENCON – Technologies for Smart Nation (TENCON 2016), 22-25 November, Marina Bay Sands, Singapore. ISBN: 978-1-5090-2596-1
  24. Baig, M. M., GholamHosseini, H., Meintjes, A., & Luo, D. (2016). Smartphone-based Continuous Vital Signs Monitoring at the 3rd International Conference on Biomedical Engineering (ICBE 2016), 16-17 December, Guangzhou, China.
  25. GholamHosseini, H., Meintjes, A., Baig, M. M. & Lindén, M. (2016). Smartphone-based Continuous Blood Pressure Measurment Using Pulse Transit Time at the Personalized Health (pHealth), 29-31 May, 2016, Crete, Greece
  26. Baig, M. M., & GholamHosseini, H. (2015, August). Tablet-based Patient Monitoring and Decision Support Systems in Hospital Care Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  27. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015, August). Integrated Vital Signs Monitoring System using Ubiquitous Devices: Multiple Physical Signs Detection and Decision Support for Hospitalized Older Adults Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  28. Gholamhosseini, H., Biswas, J., Zhang, H., Jayachandran, M. & Baig, M. M. (2015, 15-17 June). Cuff-less, non-invasive and continuous blood pressure monitoring using indirect methods at the The 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Auckland, New Zealand
  29. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Linden, M. (2015, 2-4 June). Advanced Decision Support System for Older Adults in the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2015), Sweden
  30. GholamHosseini, H., Baig, M. M., Connolly, M. J., & Linden, M. (2014, 26-30 Aug. 2014). A multifactorial falls risk prediction model for hospitalized older adults Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE doi:10.1109/EMBC.2014.6944373
  31. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June 2014). Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults Symposium conducted at the meeting of the Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on doi:10.1109/bhi.2014.6864376
  32. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June 2014). A wireless patient monitoring system for hospitalized older adults: Acceptability, reliability and accuracy evaluation Symposium conducted at the meeting of the Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on doi:10.1109/bhi.2014.686437
  33. 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
  34. 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
  35. Baig, M. M., Gholamhosseini, H., & Luo, D. (2014). A Secure Wireless Telehealthcare Monitoring System and its Web Application. presented at the meeting of the International Conference on Mechanical, Electronics and Computer Engineering (CMECE 2014) 24-26 January, Sanya, China.
  36. Baig, M. M., Gholamhosseini, H., Connolly, M. J., & Sabouri, P. (2013, 27-29, November). Web-based Vital Signs Monitoring and Early Warning/Detection System for Hospitalised Older Adult Patients. presented at the meeting of the Annual Health Informatics New Zealand, Rotorua, New Zealand.
  37. Sabouri, P., Gholamhosseini, H., Collins, J., & Baig, M. M. (2013, 27-29, November). Smart skin cancer diagnosis using advanced embedded vision systems. presented at the meeting of the Annual Health Informatics New Zealand, Rotorua, NZ.
  38. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013, 5-6 September). Implementation of an advanced and secure solution using wireless medical devices in healthcare settings. presented at the meeting of the 20th Electronics New Zealand Conference (ENZCON’ 13), Massey University, Albany Campus, Auckland, NZ
  39. Baig, M. M., & Hamid GholamHosseini. (2013). Wireless Remote Patient Monitoring in Older Adults Symposium conducted at the meeting of the (accepted) Engineering in Medicine and Biology Society, EMBC, 2013 35th Annual International Conference of the IEEE, Osaka, Japan
  40. Baig, M. M., & GholamHosseini, H. (2013, 16-18 Jan. 2013). A remote monitoring system with early diagnosis of hypertension and Hypotension Symposium conducted at the meeting of the Point-of-Care Healthcare Technologies (PHT), 2013 IEEE, DOI: 10.1109/pht.2013.6461278 doi:10.1109/pht.2013.6461278
  41. Baig, M. M., & Hamid GholamHosseini. (2012. A Telehealth Care System to Enhance Healthcare Delivery. presented at the meeting of the IEEE Healthcare Technology Conference: Translational Engineering in Health & Medicine of the IEEE Engineering in Medicine and Biology Society, Methodist Hospital Research Institute, Houston, TX, during November 7-9, 2012
  42. Baig, M. M., & Hamid GholamHosseini. (2012, 7-9, November). Early Warning System for Older Patients. presented at the meeting of the Annual Health Informatics New Zealand, 7-9, November, Rotorua, NZ
  43. Baig, M. M., GholamHosseini, H., Lee, S.-W., & Harrison, M. J. (Aug. 30 2011-Sept. 3 2011). Detection and classification of hypovolaemia during anaesthesia, presented at the meeting of the 33rd Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBC, 2011
  44. Baig, M. M., GholamHosseini, H., and Harrison, M. J. (2010). Fuzzy Logic-based System for Anaesthesia Monitoring, in 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, pp. 3974-77, Aug. – Sep. 2010
  45. Baig, M. M., Gholam Hosseini, H., & Harrison, M. (2010). Detecting Critical Pathological Events During Anaesthesia Administration Symposium conducted at the meeting of the The Annual Conference of the Australasian College of Physical Scientists and Engineers in Medicine, University of Otago, Dunedin, 24-26 November
  46. Baig, M. M., Gholam Hosseini, H., Harrison, M., & Al-Jumaily, A. (2009, 6-10 December). Anaesthesia monitoring using Supervisory Controlled And Data Acquisition (SCADA) software. presented at the meeting of the Combio’09, Christchurch, New Zealand

Thesis

  1. Baig, M. M. (2014). Smart Vital Signs Monitoring for Hospitalised Older Adults. Doctoral Thesis, AUT University, Auckland, NZ.
  2. Baig, M. M. (2010). Smart Monitoring System for Alert Generation during Anaesthesia. Master’s Thesis, AUT University, Auckland, NZ.
  3. Baig, M. M. (2007). DC Motor Control using Fuzzy Logic Controller. Bachelor’s Thesis, JNTU University, India.

Blogs

  1. Baig, M. M. (2018). The Opportunity of Vital Signs Monitoring and Clinical Decision Support (available here)
  2. Baig, M. M. (2018). How Vital Are Your Vital Signs? (available here)
  3. Baig, M. M. (August 2017). Calibrating Clinical Risk Calculators for New Zealand, blog/news (2017), available (available here)
  4. Baig, M. M. (2017). Vital signs monitoring and decision support system (available here)
  5. Baig, M.M. (2016). The 3Ds of Clinical Decision Support – Device, Data and Decisions. A White Paper on Clinical Decision Support Systems (available here)
  6. Jury, D. (July 2014). Two conference papers presented at the IEEE conference in Spain by Mirza Baig. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 7, Pg.6
  7. Jury, D. (April 2013). Mirza Baig has received the prestigious Freemasons Scholarship Award for the second time. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 4,3
  8. Jury, D. (March 2013). Mirza Baig presents paper at IEE EMBS Point-of-Care Healthcare Technologies Conference. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 3,8
  9. Jury, D. (April 2012). Mizra Baig is awarded the Prestigious Freemason Orakei Scholarship. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 4,4
  10. Gilroy, C. (October 2010). Creative innovations as an Automation Engineer by Mirza Baig. Auckland Chamber of Commerce – Monthly Newsletter, Auckland University of Technology, Vol 10, Pg.16

Presentations

  1. Precision Driven Health – Research Partnership Workshop, Auckland City Hospital, Auckland District Health Board (ADHB), Auckland – June 2016
  2. Wearable Technologies and Smart Textiles Symposium, Sir Paul Reeves Building, AUT University, Auckland – October 2015
  3. IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Crown Plaza, Auckland – June 2015
  4. Lightning Talk on Wireless Medical Device and Big Data Issue, Orion Health Global (Head Quarters), Auckland – April 2015
  5. IEEE Biomedical and Health Informatics Conference, Valencia, Spain – June, 2014
  6. School of Engineering postgraduate seminar, AUT University, Auckland, NZ – October, 2013.
  7. The 20th Electronics New Zealand Conference (ENZCON), Massey University, Albany Campus, Auckland, New Zealand – September, 2013.
  8. The IEEE point-of-care healthcare technologies conference, Bangalore, India – January, 2013.
  9. The Annual Health Informatics New Zealand conference, Rotorua, NZ – November, 2012.
  10. North Shore Hospital, North Shore, Auckland, NZ – August, 2012.
  11. School of Engineering postgraduate seminar, AUT University, Auckland, NZ – June, 2012.
  12. Engineering, Machinery & Electronics Exhibition (EMEX), ASB Showgrounds, Greenlane, Auckland – 1-3 May, 2012

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

  1. Baig M.M., Afifi S., GholamHosseini H., Mirza F. (2019) Managing Long-Term Conditions: Wearable Sensors and IoT-Based Monitoring Applications. In: Gu D., Dupre M. (eds) Encyclopedia of Gerontology and Population Aging. Springer, Cham
  2. GholamHosseini, H., Baig, M. M., Meintjes, A., Farhaan, M. & Lindén, M. (2017). Smartphone-based Blood Pressure Monitoring for Falls Risk Assessment: Techniques and Technologies. In Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies. CH 10. IET Publishing. 10.1049/PBHE009E_ch. Available at: http://digital-library.theiet.org/content/books/10.1049/pbhe009e_ch10
  3. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2016). Tablet-based clinical decision support system for hospitalised older adults. In Active and Assisted Living: Technologies and Applications. CH 16, p.p 311-326. IET Publishing. ISBN: 978-1-84919-987-2. Available at: http://www.theiet.org/resources/books/healthcare/acassliving.cfm
  4. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015). mHealth Monitoring System for Hospitalised Older Adults–Current Issues and Challenges. In Mobile Health (pp. 299-317). Springer International Publishing. Available at : http://www.springer.com/engineering/biomedical+engineering/book/978-3-319-12816-0
  1. Davidson, T., Mirza, F., & Baig, M. M. (2021). Impact of socio-economic status and race on emergency hospital admission outcomes: Analysis from hospital admissions between 2001 and 2012. Health Services Management Research, 09514848211012189.
  2. Baig, M. M., GholamHosseini, H., Afifi, S., & Lindén, M. (2021). A systematic review of rapid response applications based on early warning score for early detection of inpatient deterioration. Informatics for Health and Social Care, 46(2), 148-157.
  3. Wang, S., Mirza, F., & Baig, M. M. (2021). A predictive model for identifying health trends among Māori and Pacific people-analysis from ten years of New Zealand Public Hospital discharges. International Journal of Medical Engineering and Informatics, 13(3), 190-199.
  4. Baig, M. M., GholamHosseini, H., Gutierrez, J., Ullah, E., & Lindén, M. (2021). Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications. Applied Clinical Informatics, 12(01), 001-009.
  5. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Spyker, A., Armstrong, D., Whittaker, R., Robinson, T. and Ullah, E., 2020. A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model. Medical & biological engineering & computing, 58(7), pp.1459-1466.
  6. Baig, M. M., Afifi, S., GholamHosseini, H., & Ullah, E. (2020). Deterioration to decision: a comprehensive literature review of rapid response applications for deteriorating patients in acute care settings. Health and Technology, 10(3), 567-573.
  7. Hosseini, H. G., Baig, M. M., & Lindï, M. (2020). A Smartphone-based Obesity Risk Assessment Application Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. European Journal of Biomedical Informatics.
  8. Baig, M. M., Afifi, S., GholamHosseini, H., & Ullah, E. (2019). Deterioration to decision: a comprehensive literature review of rapid response applications for deteriorating patients in acute care settings. Health and Technology, p.p. 1-7
  9. Baig, M.M., Gholamhosseini, H., Mirza, F., Afifi, S., Robinson, R., Chapman, L., Houghton, H., Connolly, M. J., Whittaker, R. and Ullah, E. (2019). VitalsAssist—a mHealth application for early detection and escalation of deteriorating patients based on national early warning score. New Zealand Medical Journal (NZMJ), Vol 132 No 1498, NZMJ 12 July 2019 p.p. 119. ISSN: 1175-8716
  10. Baig, M. M., Afifi, S., GholamHosseini, H., & Mirza, F. (2019). A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults–a Focus on Ageing Population and Independent Living. Journal of medical systems, 43(8), 233.
  11. Ubaid, A., Mirza, F., Baig, M. M., & GholamHosseini, H. (2019). Identifying the relationship between unstable vital signs and intensive care unit (ICU) readmissions: an analysis of 10-year of hospital ICU readmissions. Health and Technology, 9(1), 77-85.
  12. Junqueira, A. R. B., Mirza, F., & Baig, M. M. (2019). A machine learning model for predicting ICU readmissions and key risk factors: analysis from a longitudinal health records. Health and Technology. doi:10.1007/s12553-019-00329-0
  13. Jia, X., Baig, M. M., Mirza, F., & GholamHosseini, H. (2019). A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine, 2019, 1-11. doi:10.1155/2019/8392348
  14. Gholamhosseini, H., Baig, M., Maratas, J., Mirza, F., & Lindén, M. (2019). Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. Studies in health technology and informatics, 261, 91-96.
  15. Mirza, F., Koli, N. V., Baig, M., & Ullah, E. (2018). An Agent-Based Modelling Approach for Scheduling and Management of Elective Surgeries. SM Journal of Health And Medical Informatics, 2(1). Retrieved from https://smjournals.com/health-medical-informatics/download.php?file=fulltext/smjhmi-v2-1004.pdf
  16. Moqeem, A., Baig, M., Gholamhosseini, H., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience: A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health, 1(3). Retrieved from https://crimsonpublishers.com/tteh/pdf/TTEH.000511.pdf
  17. Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2018). Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Aging Clinical and Experimental Research, 30(11). doi:10.1007/s40520-018-1026-6
  18. Moqeem, A., Baig, M., Gholamhosseini, H., Mirza, F., & Linden, M. (2018). Medical device integrated vital signs monitoring application with real-time clinical decision support. Studies in Health Technology and Informatics, 249. doi:10.3233/978-1-61499-868-6-189
  19. Baig, M. M., GholamHosseini, H., Moqeem, A., Farhaan, M. & Lindén, M. (2017). A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption. Journal of medical systems, 41(7), 1-9.
  20. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2016). Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs. Aging Clinical and Experimental Research (available online first), pp. 1-10. doi: 10.1007/s40520-015-0510-5 (Available at: http://link.springer.com/article/10.1007/s40520-015-0510-5)
  21. GholamHosseini, H., Meintjes, A., Baig, M. M., & Lindén, M. (2016). Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time. Studies in health technology and informatics, 224, 84-89.
  22. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalized older adults. Physiological measurement, 36 (10), 2069-2088
  23. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Remote Patient Monitoring System: Evaluation of Medical Devices from Patients’ Perspective. Journal of Health Care and Informatics Review Online, 18(1), 25-37. ISSN 1174-3379. Available at http://www.hinz.org.nz/journal/2014/07/Remote-Patient-Monitoring-System–Evaluation-of-Medical-Devices-from-Patients—-Perspective/1063
  24. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Mobile healthcare applications: system design review, critical issues and challenges. Australasian Physical & Engineering Sciences in Medicine, 1-16. doi:10.1007/s13246-014-0315-4
  25. Baig, M. M., GholamHosseini, H., Lindén, M. & Connolly, M. J. (2014). Review of Vital Signs Monitoring Systems – Patient’s Acceptability, Issues and Challenges. Journal of Neuroscience and Biomedical Engineering, 2(1), 2-13. doi: 10.2174/2213385202999140820115756
  26. 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
  27. 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
  28. 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
  29. 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
  30. Baig, M. M., GholamHosseini, H., & Harrison, M. J. (2012). Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre. WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, 11(1), 21-32
  31. Baig, M. M., GholamHosseini, H., Kouzani, A., & Harrison, M. (2011). Anaesthesia monitoring using fuzzy logic. Journal of Clinical Monitoring and Computing, 25(5), 339-347. doi:10.1007/s10877-011-9315-z
  1. Baig, M. M., GholamHosseini, H., & Ahmad, F. (2020, July). A Usability and User-Experience Analysis of VitalsAssist: A mHealth Application to Monitor Vital Signs in Acute Care Settings. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5132-5135). IEEE.
  2. Baig, M. M., GholamHosseini, H., Ahmad, F., Moqeem, A. A., Mirza, F., and Ullah, E (2019) VitalsAssist: A Usability Study on mHealth Application to Monitor Vital Signs in Acute Care Settings. Poster accepted in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE EMBC 2019
  3. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Armstrong, D., Whittaker, R., Robinson, T., Mirza, F. and Ullah, E. (2019). Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE EMBC 2019.
  4. Jia, X., Mirza, F., Baig, M. M., & Hosseini, H. G. (2019). A Cox-based Model for Predicting the Risk of Cardiovascular Disease. Conf-IRM, 2019 AIS.
  5. Baig, M. M., Hosseini, H. G., Afifi, S., & Mirza, F. (2019). Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. Conf-IRM, 2019 AIS.
  6. Mansouri, S. R., Lowe, A., Hosseini, H. G., & Baig, M. M. (2019). Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using Continuous Wavelet Transform and Convolutional Neural Network. Conf-IRM, 2019 AIS.
  7. Baig, M.M., Hua, N., Zhang, E., Robinson, R., Armstrong, D., Whittaker, R., Robinson, T., Mirza, F. and Ullah, E. (2019). Predicting Patients at Risk of 30-Day Unplanned Hospital Readmission. Digital Health: Changing. The Way Healthcare Is Conceptualised And Delivered, (2019) 20.
  8. Karamchandani, H., Naeem, M. A., Mirza, F., & Baig, M. M. (2019). Improving Post-Hospital Discharge Management by Implementing the Discharge Summary on a Mobile Application. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. doi:10.23919/ICMU.2018.8653261
  9. Gholamhosseini, H., Baig, M. M., Rastegar, S., & Lindén, M. (2018, June). Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio. In pHealth (pp. 77-83).
  10. Moqeem, A. A., Baig, M. M., Gholamhosseini, H., Mirza, F., & Lindén, M. (2018, June). Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support. In pHealth (pp. 189-193).
  11. Baig, M. M., Robinson, R., and Spyker, A. (2018). A Public Website for Kiwis – An Authentic Web Library of Clinical Risk Assessments, Algorithms, Tools, Calculators and Predictive Machine Learning Models. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  12. Baig, M.M., Zhang, E., Robinson, R., Ullah, E. and Whittaker, R (2018). Measuring the Accuracy of Patients at risk of Hospital Readmission (PARR) and LACE risk scores for the New Zealand Population. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  13. Baig, M., Mirza, F., & Gribben, B. (2018). Predicting Hospital Admission Risk Using Primary and Secondary Data Sources. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  14. Baig, M., Moqeem, A., Gholamhosseini, H., & Mirza, F. (2018). Clinician-centered Mobile Application Design Framework and Clinical Decision Support for Hospitals. In 2018 HiNZ Conference Proceedings. Wellington, NZ.
  15. Baig, M. M., Moqeem, A., Gholamhosseini, H., Mirza, F., & Ullah, E. (2018). Vital Signs Monitoring and Decision Support Application – A 6S Framework for User-centred Design Approach for mHealth Applications. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 344-355). Kuala Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  16. Baig, M. M., Mirza, F., Gholamhosseini, H., Gutierrez, J., & Ullah, E. (2018). Automated and Early detection of long-term conditions using a real-time wearable patient monitoring system. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 2244-2245). Kaula Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  17. Baig, M.M., Zhang, E., Robinson, R., Ullah, E. and Whittaker, R. (2018). Comparison and Evaluation of Patient at Risk of Hospital Re-admission (PARR) and LACE Risk Score using New Zealand Hospital Admissions. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 344-355). Kuala Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf
  18. Baig, M., Mirza, F., GholamHosseini, H., Gutierrez, J., & Ullah, E. (2018, July). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4456-4459). IEEE.
  19. Nguyen, H., Mirza, F., Naeem, M. A. & Baig, M. M. (2017). Detecting Falls Using a Wearable Accelerometer Motion Sensor, (accepted in) Proceedings of 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2017), November, 7–10, Melbourne, Australia
  20. Asghar, M. R., Lee, T. H., Baig, M. M., Ullah, E., Russello, G. & Dobbie, G. (2017).  Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources, (accepted) at the 2017 IEEE 13th International Conference on e-Science, eScience 2017, October 24th, Auckland, New Zealand
  21. Baig, M. M., GholamHosseini, H. & Lindén, M. (2017). A Mobile Application for Real-time Vital Signs Monitoring and Clinical Decision Support with Integrated Medical Devices, accepted at the Medical Technology Days -Medicinteknikdagarna (MTD), Västerås, Sweden, 10-11 October, 2017
  22. Baig, M. M., GholamHosseini, H. & Lindén, M. (2016). Machine Learning-based Clinical Decision Support System for Early Diagnosis from Real-time Physiological Data, (accepted) at The IEEE TENCON – Technologies for Smart Nation (TENCON 2016), 22-25 November, Marina Bay Sands, Singapore. ISBN: 978-1-5090-2596-1
  23. GholamHosseini, H., Baig, M. M., Farhaan, M. & Dehan, L. (2016). Smartphone-based Continuous Blood Pressure Monitoring Application – Robust Security and Privacy Framework, (accepted) at The IEEE TENCON – Technologies for Smart Nation (TENCON 2016), 22-25 November, Marina Bay Sands, Singapore. ISBN: 978-1-5090-2596-1
  24. Baig, M. M., GholamHosseini, H., Meintjes, A., & Luo, D. (2016). Smartphone-based Continuous Vital Signs Monitoring at the 3rd International Conference on Biomedical Engineering (ICBE 2016), 16-17 December, Guangzhou, China.
  25. GholamHosseini, H., Meintjes, A., Baig, M. M. & Lindén, M. (2016). Smartphone-based Continuous Blood Pressure Measurment Using Pulse Transit Time at the Personalized Health (pHealth), 29-31 May, 2016, Crete, Greece
  26. Baig, M. M., & GholamHosseini, H. (2015, August). Tablet-based Patient Monitoring and Decision Support Systems in Hospital Care Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  27. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2015, August). Integrated Vital Signs Monitoring System using Ubiquitous Devices: Multiple Physical Signs Detection and Decision Support for Hospitalized Older Adults Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  28. Gholamhosseini, H., Biswas, J., Zhang, H., Jayachandran, M. & Baig, M. M. (2015, 15-17 June). Cuff-less, non-invasive and continuous blood pressure monitoring using indirect methods at the The 10th IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Auckland, New Zealand
  29. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Linden, M. (2015, 2-4 June). Advanced Decision Support System for Older Adults in the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth 2015), Sweden
  30. GholamHosseini, H., Baig, M. M., Connolly, M. J., & Linden, M. (2014, 26-30 Aug. 2014). A multifactorial falls risk prediction model for hospitalized older adults Symposium conducted at the meeting of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE doi:10.1109/EMBC.2014.6944373
  31. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June 2014). Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults Symposium conducted at the meeting of the Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on doi:10.1109/bhi.2014.6864376
  32. Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014, 1-4 June 2014). A wireless patient monitoring system for hospitalized older adults: Acceptability, reliability and accuracy evaluation Symposium conducted at the meeting of the Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on doi:10.1109/bhi.2014.686437
  33. 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
  34. 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
  35. Baig, M. M., Gholamhosseini, H., & Luo, D. (2014). A Secure Wireless Telehealthcare Monitoring System and its Web Application. presented at the meeting of the International Conference on Mechanical, Electronics and Computer Engineering (CMECE 2014) 24-26 January, Sanya, China.
  36. Baig, M. M., Gholamhosseini, H., Connolly, M. J., & Sabouri, P. (2013, 27-29, November). Web-based Vital Signs Monitoring and Early Warning/Detection System for Hospitalised Older Adult Patients. presented at the meeting of the Annual Health Informatics New Zealand, Rotorua, New Zealand.
  37. Sabouri, P., Gholamhosseini, H., Collins, J., & Baig, M. M. (2013, 27-29, November). Smart skin cancer diagnosis using advanced embedded vision systems. presented at the meeting of the Annual Health Informatics New Zealand, Rotorua, NZ.
  38. Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013, 5-6 September). Implementation of an advanced and secure solution using wireless medical devices in healthcare settings. presented at the meeting of the 20th Electronics New Zealand Conference (ENZCON’ 13), Massey University, Albany Campus, Auckland, NZ
  39. Baig, M. M., & Hamid GholamHosseini. (2013). Wireless Remote Patient Monitoring in Older Adults Symposium conducted at the meeting of the (accepted) Engineering in Medicine and Biology Society, EMBC, 2013 35th Annual International Conference of the IEEE, Osaka, Japan
  40. Baig, M. M., & GholamHosseini, H. (2013, 16-18 Jan. 2013). A remote monitoring system with early diagnosis of hypertension and Hypotension Symposium conducted at the meeting of the Point-of-Care Healthcare Technologies (PHT), 2013 IEEE, DOI: 10.1109/pht.2013.6461278 doi:10.1109/pht.2013.6461278
  41. Baig, M. M., & Hamid GholamHosseini. (2012. A Telehealth Care System to Enhance Healthcare Delivery. presented at the meeting of the IEEE Healthcare Technology Conference: Translational Engineering in Health & Medicine of the IEEE Engineering in Medicine and Biology Society, Methodist Hospital Research Institute, Houston, TX, during November 7-9, 2012
  42. Baig, M. M., & Hamid GholamHosseini. (2012, 7-9, November). Early Warning System for Older Patients. presented at the meeting of the Annual Health Informatics New Zealand, 7-9, November, Rotorua, NZ
  43. Baig, M. M., GholamHosseini, H., Lee, S.-W., & Harrison, M. J. (Aug. 30 2011-Sept. 3 2011). Detection and classification of hypovolaemia during anaesthesia, presented at the meeting of the 33rd Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBC, 2011
  44. Baig, M. M., GholamHosseini, H., and Harrison, M. J. (2010). Fuzzy Logic-based System for Anaesthesia Monitoring, in 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, pp. 3974-77, Aug. – Sep. 2010
  45. Baig, M. M., Gholam Hosseini, H., & Harrison, M. (2010). Detecting Critical Pathological Events During Anaesthesia Administration Symposium conducted at the meeting of the The Annual Conference of the Australasian College of Physical Scientists and Engineers in Medicine, University of Otago, Dunedin, 24-26 November
  46. Baig, M. M., Gholam Hosseini, H., Harrison, M., & Al-Jumaily, A. (2009, 6-10 December). Anaesthesia monitoring using Supervisory Controlled And Data Acquisition (SCADA) software. presented at the meeting of the Combio’09, Christchurch, New Zealand
  1. Baig, M. M. (2014). Smart Vital Signs Monitoring for Hospitalised Older Adults. Doctoral Thesis, AUT University, Auckland, NZ.
  2. Baig, M. M. (2010). Smart Monitoring System for Alert Generation during Anaesthesia. Master’s Thesis, AUT University, Auckland, NZ.
  3. Baig, M. M. (2007). DC Motor Control using Fuzzy Logic Controller. Bachelor’s Thesis, JNTU University, India.
  1. Baig, M. M. (2018). The Opportunity of Vital Signs Monitoring and Clinical Decision Support (available here)
  2. Baig, M. M. (2018). How Vital Are Your Vital Signs? (available here)
  3. Baig, M. M. (August 2017). Calibrating Clinical Risk Calculators for New Zealand, blog/news (2017), available (available here)
  4. Baig, M. M. (2017). Vital signs monitoring and decision support system (available here)
  5. Baig, M.M. (2016). The 3Ds of Clinical Decision Support – Device, Data and Decisions. A White Paper on Clinical Decision Support Systems (available here)
  6. Jury, D. (July 2014). Two conference papers presented at the IEEE conference in Spain by Mirza Baig. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 7, Pg.6
  7. Jury, D. (April 2013). Mirza Baig has received the prestigious Freemasons Scholarship Award for the second time. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 4,3
  8. Jury, D. (March 2013). Mirza Baig presents paper at IEE EMBS Point-of-Care Healthcare Technologies Conference. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 3,8
  9. Jury, D. (April 2012). Mizra Baig is awarded the Prestigious Freemason Orakei Scholarship. Faculty of Design and Creative Technologies – Monthly Newsletter, Auckland University of Technology, Vol 4,4
  10. Gilroy, C. (October 2010). Creative innovations as an Automation Engineer by Mirza Baig. Auckland Chamber of Commerce – Monthly Newsletter, Auckland University of Technology, Vol 10,16
  1. Precision Driven Health – Research Partnership Workshop, Auckland City Hospital, Auckland District Health Board (ADHB), Auckland – June 2016
  2. Wearable Technologies and Smart Textiles Symposium, Sir Paul Reeves Building, AUT University, Auckland – October 2015
  3. IEEE Conference on Industrial Electronics and Applications (ICIEA 2015), Crown Plaza, Auckland – June 2015
  4. Lightning Talk on Wireless Medical Device and Big Data Issue, Orion Health Global (Head Quarters), Auckland – April 2015
  5. IEEE Biomedical and Health Informatics Conference, Valencia, Spain – June, 2014
  6. School of Engineering postgraduate seminar, AUT University, Auckland, NZ – October, 2013.
  7. The 20th Electronics New Zealand Conference (ENZCON), Massey University, Albany Campus, Auckland, New Zealand – September, 2013.
  8. The IEEE point-of-care healthcare technologies conference, Bangalore, India – January, 2013.
  9. The Annual Health Informatics New Zealand conference, Rotorua, NZ – November, 2012.
  10. North Shore Hospital, North Shore, Auckland, NZ – August, 2012.
  11. School of Engineering postgraduate seminar, AUT University, Auckland, NZ – June, 2012.
  12. Engineering, Machinery & Electronics Exhibition (EMEX), ASB Showgrounds, Greenlane, Auckland – 1-3 May, 2012