Context-aware system for cardiac condition monitoring and management: a survey

Ogbuabor, Godwin, Augusto, Juan Carlos ORCID logoORCID:, Moseley, Ralph ORCID logoORCID: and van Wyk, Aléchia ORCID logoORCID: (2020) Context-aware system for cardiac condition monitoring and management: a survey. Behaviour and Information Technology . ISSN 0144-929X [Article] (Published online first) (doi:10.1080/0144929X.2020.1836255)

PDF - Final accepted version (with author's formatting)
Download (3MB) | Preview


Health monitoring assists physicians in the decision-making process, which in turn, improves quality of life. As technology advances, the usage and applications of context-aware systems continue to spread across different areas in patient monitoring and disease management. It provides a platform for healthcare professionals to assess the health status of patients in their care using multiple relevant parameters.

In this survey, we consider context-aware systems proposed by researchers for health monitoring and management. More specifically, we investigate different technologies and techniques used for cardiac condition monitoring and management. This paper also propose "mCardiac", an enhanced context-aware decision support system for cardiac condition monitoring and management during rehabilitation.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 31126
Notes on copyright: This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour and Information Technology on 23 Oct 2020, available online:
Useful Links:
Depositing User: Juan Augusto
Date Deposited: 07 Oct 2020 10:10
Last Modified: 29 Nov 2022 18:13

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.