| Smart health monitoring systems: an overview of design and modeling MM Baig, H Gholamhosseini Journal of medical systems 37, 1-14, 2013 | 484 | 2013 |
| 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 | 365 | 2013 |
| 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 | 312 | 2017 |
| 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 | 299 | 2015 |
| 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 | 175 | 2019 |
| 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 | 41 | 2016 |
| 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 | 37 | 2010 |
| 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 | 35 | 2017 |
| 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 | 34 | 2017 |
| Anaesthesia monitoring using fuzzy logic MM Baig, H GholamHosseini, A Kouzani, MJ Harrison Journal of Clinical Monitoring and Computing 25 (5), 339-347, 2011 | 33 | 2011 |
| 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 | 32 | 2012 |
| Wireless remote patient monitoring in older adults MM Baig, H GholamHosseini 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 29 | 2013 |
| 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, 2019 | 25 | 2019 |
| 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 | 25 | 2014 |
| 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 | 24 | 2013 |
| 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 | 22 | 2018 |
| 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 | 20 | 2014 |
| 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 | 19 | 2016 |
| Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time. H GholamHosseini, A Menthes, MM Baig, M Linden Studies in health technology and informatics 224, 84-89, 2016 | 17 | 2016 |
| Smart Vital Signs Monitoring and Novel Falls Prediction System for Older Adults MM Baig Auckland University of Technology, 2014 | 16 | 2014 |
