mHealth Engineering: A Technology Review

In this paper, we review the technological bases of mobile health (mHealth). First, we derive a component-based mHealth architecture prototype from an Institute of Electrical and Electronics Engineers (IEEE)-based multistage research and filter process. Second, we analyze medical databases with regard to these prototypic mhealth system components.. We show the current state of research literature concerning portable devices with standard and additional equipment, data transmission technology, interface, operating systems and software embedment, internal and external memory, and power-supply issues. We also focus on synergy effects by combining different mHealth technologies (e.g., BT-LE combined with RFID link technology). Finally, we also make suggestions for future improvements in mHealth technology (e.g., data-protection issues, energy supply, data processing and storage)

Bushfire disaster monitoring system using low power wide area networks (LPWAN)

Some applications, including disaster monitoring and recovery networks, use low-powerwide-area networks (LPWAN). LPWAN sensors capture data bits and transmit them to public carriernetworks (e.g., cellular networks) via dedicated gateways. One of the challenges encountered indisaster management scenarios revolves around the carry/forward sensed data and geographicallocation information dissemination to the disaster relief operatives (disaster relief agency; DRA) toidentify, characterise, and prioritise the affected areas. There are network topology options to reachits destination, including cellular, circuit switched, and peer-to-peer networks. In the context ofnatural disaster prediction, it is vital to access geographical location data as well as the timestamp.This paper proposes the usage of Pseudo A Number (PAN), that is, the calling party address, which isused by every network to include the location information instead of the actual calling party addressof the gateway in LPWAN. This PAN information can be further analysed by the DRA to identify theaffected areas and predict the complications of the disaster impacts in addition to the past historyof damages. This paper aims to propose a solution that can predict disaster proceedings basedon propagation and the velocity of impact using vector calculation of the location data and thetimestamp, which are transmitted by sensors through the PAN of the gateway in LPWAN

A mobile health network disaster management system

A common occurrence in almost all full-scale natural disasters is the rapid destruction of the telecommunication infrastructure as the inevitable unfolds, which tends to halt the necessary communications between the humanitarian operators and the people in need. In such scenarios, the deployment of wireless networks would provide fast and temporary remedies, however these networks normally do not provide services to the end-users and ordinary people, instead they provide connectivity between groups of end-users administered by a local service provider. From a range of services provided to the end-users by the humanitarian operators, healthcare is by far the top priority. This is considered through the utilization of smartphones in a Mobile Health (mHealth) perspective, which is an emerging concept for monitoring and tracking end-user health conditions. This article considers an mHealth system used in a tsunami-stricken disaster scenario, including a discussion on the most recent advances of Device to Device (D2D) and LTE-Direct technologies