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Mirza Mansoor Baig, PhD
Mirza Mansoor Baig, PhD
Senior Solutions Specialist
Verified email at aut.ac.nz - Homepage
Title
Cited by
Cited by
Year
Smart health monitoring systems: an overview of design and modeling
MM Baig, H Gholamhosseini
Journal of medical systems 37, 1-14, 2013
4842013
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
MM Baig, H Gholamhosseini, MJ Connolly
Medical & biological engineering & computing 51 (5), 485-495, 2013
3742013
A systematic review of wearable patient monitoring systems–current challenges and opportunities for clinical adoption
MM Baig, H GholamHosseini, AA Moqeem, F Mirza, M Lindén
Journal of medical systems 41, 1-9, 2017
3322017
Mobile healthcare applications: system design review, critical issues and challenges
MM Baig, H GholamHosseini, MJ Connolly
Australasian physical & engineering sciences in medicine 38, 23-38, 2015
3072015
A systematic review of wearable sensors and IoT-based monitoring applications for older adults–a focus on ageing population and independent living
MM Baig, S Afifi, H GholamHosseini, F Mirza
Journal of medical systems 43, 1-11, 2019
1862019
Machine learning-based clinical decision support system for early diagnosis from real-time physiological data
MM Baig, HG Hosseini, M Lindén
2016 IEEE region 10 conference (TENCON), 2943-2946, 2016
442016
A review of privacy and consent management in healthcare: A focus on emerging data sources
MR Asghar, TH Lee, MM Baig, E Ullah, G Russello, G Dobbie
2017 IEEE 13th International Conference on e-Science (e-Science), 518-522, 2017
382017
A fuzzy logic-based system for anaesthesia monitoring
M Mirza, H GholamHosseini, MJ Harrison
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
372010
Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges
MM Baig, H GholamHosseini, AA Moqeem, F Mirza, M Lindén
Health informatics journal 25 (3), 1091-1104, 2017
342017
Anaesthesia monitoring using fuzzy logic
MM Baig, H GholamHosseini, A Kouzani, MJ Harrison
Journal of Clinical Monitoring and Computing 25 (5), 339-347, 2011
332011
Fuzzy logic based smart anaesthesia monitoring system in the operation theatre
MM Baig, H Gholamhosseini, MJ Harrison
WSEAS transactions on circuits and systems 11 (1), 21-32, 2012
312012
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
X Jia, MM Baig, F Mirza, H GholamHosseini
Advances in preventive medicine 2019 (1), 8392348, 2019
292019
Wireless remote patient monitoring in older adults
MM Baig, H GholamHosseini
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
292013
Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults
MM Baig, H GholamHosseini, MJ Connolly, G Kashfi
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014
252014
A remote monitoring system with early diagnosis of hypertension and hypotension
MM Baig, H GholamHosseini
2013 IEEE Point-of-Care Healthcare Technologies (PHT), 34-37, 2013
242013
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology–a recent scoping review
E Ullah, A Parwani, MM Baig, R Singh
Diagnostic pathology 19 (1), 43, 2024
222024
A multifactorial falls risk prediction model for hospitalized older adults
H GholamHosseini, MM Baig, MJ Connolly, M Lindén
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
222014
Falls management framework for supporting an independent lifestyle for older adults: a systematic review
H Nguyen, F Mirza, MA Naeem, MM Baig
Aging clinical and experimental research, 1-12, 2018
212018
Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs
MM Baig, H Gholamhosseini, MJ Connolly
Aging Clinical and Experimental Research, 1-10, 2016
202016
Early detection of prediabetes and T2DM using wearable sensors and internet-of-things-based monitoring applications
MM Baig, H GholamHosseini, J Gutierrez, E Ullah, M Lindén
Applied Clinical Informatics 12 (01), 001-009, 2021
182021
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