Outputs (4)

Glucose prediction data analytics for diabetic patients monitoring (2017)
Presentation / Conference Contribution
Huzooree, G., Khedo, K. K., & Joonas, N. (2017, July). Glucose prediction data analytics for diabetic patients monitoring. Presented at 2017 1st International Conference on Next Generation Computing Applications (NextComp), Mauritius

Diabetes Mellitus (DM) is one of the leading health complication around the world causing national economic burden and low quality of life. This increases the need to focus on prevention and early detection to improve the management and treatment of... Read More about Glucose prediction data analytics for diabetic patients monitoring.

Pervasive mobile healthcare systems for chronic disease monitoring (2017)
Journal Article
Huzooree, G., Kumar Khedo, K., & Joonas, N. (2019). Pervasive mobile healthcare systems for chronic disease monitoring. Health Informatics Journal, 25(2), 267-291. https://doi.org/10.1177/1460458217704250

Pervasive mobile healthcare system has the potential to improve healthcare and the quality of life of chronic disease patients through continuous monitoring. Recently, many articles related to pervasive mobile healthcare system focusing on health mon... Read More about Pervasive mobile healthcare systems for chronic disease monitoring.

Wireless Body Area Network System Architecture for Real-Time Diabetes Monitoring (2017)
Presentation / Conference Contribution
Huzooree, G., Khedo, K. K., & Joonas, N. (2016, November). Wireless Body Area Network System Architecture for Real-Time Diabetes Monitoring. Presented at First International Conference on Electrical, Electronic and Communications Engineering (ELECOM 2016), Bagatelle, Mauritius

Technological advancement in Wireless Body Area Networks (WBANs) has gained much interest and became an emerging technology in the remote healthcare monitoring as WBANs are a collection of low-power, intelligent, miniaturized, lightweight, invasive o... Read More about Wireless Body Area Network System Architecture for Real-Time Diabetes Monitoring.

A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram (2017)
Journal Article
Breen, C., Bond, R., & Finlay, D. (2019). A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram. Health Informatics Journal, 25(1), 51-61. https://doi.org/10.1177/1460458216683534

This article reports the design and testing of a novel interactive method, abbreviated to ANALYSE (systemAtic aNALYsiS of Electrocardiography) to assist interpretation of 12-lead electrocardiogram. 15 participants interpreted a total of 150 12-lead e... Read More about A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram.