Development of Secure Remote Health Monitoring System: A Survey
DOI:
https://doi.org/10.13052/jmm1550-4646.213416Keywords:
Fog computing, Machine learning, Internet of Things (IoT), Remote patient monitoring, Raspberry Pi, Security of remote monitoring systemsAbstract
Remote patient health monitoring systems have acquired vital attention because of its significant potential to enhance healthcare services. With the advancement of Internet of Things and “cloud computing technologies”, the development of secure and energy-efficient remote monitoring systems has become more achievable. The ability to remotely monitor a patient’s vital signs is one of the most impactful applications in the medical field. The COVID-19 pandemic underscored the need for systems that enable patients to transmit vital health data to hospitals without physically visiting them. Remote health monitoring systems integrate various cutting-edge technologies, including IoT, machine learning, and virtual machines. However, one of the primary challenges in these systems remains security. This paper provides a in-depth review of the technologies currently in use, categorizing them based on parameters such as the type of sensors employed and the attributes they monitor. Additionally, it highlights the limitations of existing models, identifying potential areas for future research that can guide emerging scholars in this field.
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