Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author "Baig, MM"
Now showing items 1-6 of 6
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A secure wireless telehealthcare monitoring system and its web application
Baig, MM; GholamHosseini, H; Luo, D (Trans Tech Publications, 2014)No abstract. -
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
Jia, X; Baig, MM; Mirza, F; GholamHosseini, H (Hindawi Limited, 2019)Background and Objective. Current cardiovascular disease (CVD) risk models are typically based on traditional laboratory-based predictors. The objective of this research was to identify key risk factors that affect the CVD ... -
Detection and classification of Hypovolaemia during anaesthesia
Baig, MM; Gholamhosseini, H; Harrison, MJ (United States National Library of Medicine/IEEE, 2011)In recent years, there has been a rapid growth in patient monitoring and medical data analysis using decision support systems, smart alarm monitoring, expert systems and many other computer aided protocols. The main goal ... -
A Predictive Model for Identifying Health Trends Among Māori and Pacific People – Analysis From Ten Years of New Zealand Public Hospital Discharges
Wang, S; Mirza, F; Baig, MM (Inderscience Publishers, 2021)Our research was focused on the quality of healthcare services for Māori and Pacific Islanders. We used New Zealand (NZ) Public Hospital discharges data from 2005 to 2015 for our research. A prediction model has been ... -
Remote Patient Monitoring System: Evaluation of Medical Devices from Patients’ Perspective
Baig, MM; Gholamhosseini, H; Connolly, MJ (Health Informatics New Zealand (HINZ), 2014)Currently, remote health monitoringis one of the emerging areasof healthcare directed towardsabetter healthcaredelivery.Worldwide acceptance of such solutions isdue to the use of internet and its related services;being ... -
Web-based vital signs monitoring and early warning/ detection system for hospitalised older adult patients
Baig, MM; GholamHosseini, H; Connolly, MJ; Sabouri, P (Health Informatics New Zealand (HINZ), 2013)Advanced engineering and information technology combined with medical and clinical knowledge enable evolutionary solutions for remote, wireless and continuous monitoring of vital signs. Such approach facilitates implementation ...