The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in
the study and development of eHealth systems. Although it is almost impossible to cover all …

Medical institutions face serious problems, such as growing elderly population and lack of
doctors. Telemedicine and remote health monitoring system (RHMS) intend to tackle these …

Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs)
can save lives by categorising them on the basis of disease severity and determining priority …

Problem Statement: Improper triage and prioritization of big-data patients may result in
erroneous strategic decisions. An example of such wrong decision making includes the …

With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks,
connected healthcare progressively relies on such solutions. This refers to systems in which …

E‐Health services comprise a broad range of healthcare services delivered by using
information and communication technology. In order to support existing as well as emerging …

Disaster situations require a prompt emergency response. The failure of the legacy (wired)
emergency response systems to efficiently cope in such time-critical environments has led to …

Wireless Body Area Network (WBAN) is gaining popularity due to its large scale of
applications in eHealth. Due to its critical and real-time nature, eHealth care system must …

In healthcare the importance of obtaining the right information, at the right time, irrespective
of time and location dependency is very critical. Healthcare personnel need to access real …

The provision of Quality of Service (QoS) and Quality of Experience (QoE) is a mandatory
requirement when transmitting telemedicine traffic, due to information relevance to maintain …