Trends in IoT based solutions for health care: Moving AI to the edge

Abstract

In recent times, we assist to an ever growing diffusion of smart medical sensors and Internet of things devices that are heavily changing the way healthcare is approached worldwide. In this context, a combination of Cloud and IoT architectures is often exploited to make smart healthcare systems capable of supporting near realtime applications when processing and performing Artificial Intelligence on the huge amount of data produced by wearable sensor networks. Anyway, the response time and the availability of cloud based systems, together with security and privacy, still represent critical issues that prevents Internet of Medical Things (IoMT) devices and architectures from being a reliable and effective solution to the aim. Lately, there is a growing interest towards architectures and approaches that exploit Edge and Fog computing as an answer to compensate the weaknesses of the cloud. In this paper, we propose a short review about the general use of IoT solutions in health care, starting from early health monitoring solutions from wearable sensors up to a discussion about the latest trends in fog/edge computing for smart health.

Edge Intelligence and Internet of Things in Healthcare: A Survey

“…This study focuses on evolving and revolutionary techniques for IoT healthcare systems. Table 2 presents a comparison between the content of previous surveys on IoT healthcare systems [27][28][29][30][31][32][33][34][35][36][37], [101] and that of the present study.…”

IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

“…Low-cost hardware such as this has been driven by the need for rapid screening while maintaining a safe distance [24]. A popular option for low-cost sensor hardware in fighting a pandemic is the use of already existing smartphone hardware.…”

“…Researchers however are still debating on the efficacy of using smartphone applications for contact tracing against the privacy of patient data [30], [31]. As part of a campaign for global monitoring of the virus spread, the required increased computing power by IoT devices is being provided by SDN and cloud services [4], [24]. Furthermore, to limit interaction between patients, healthcare givers and IoT managers; virtual communication tools are being developed leading to the implementation of virtual clinics [32].…”

Development of Edge-IoMT Computing Architecture for Smart Healthcare Monitoring Platform

“…Bandwidth saved (%) = (1 -Bn / Bp) x100 (1) In order to gain optimized bandwidth, the smart healthcare platform architecture can be equipped with selectively permeable smart data filters and edge device regulation for a sound network infrastructure. The optimization solution is described with min Ci (Ȧ, Į), where Ȧ denotes wireless channel bandwidth allocation profile and Į denotes offloading strategy profile for each patient (i).…”

“…The virtual healthcare consultations have received immense popularity with the COVID-19 pandemic. Recent advancement in the internet of medical things (IoMT) drastically deviated healthcare consultations to the IoT-based digitalized healthcare systems [1][2][3]. In the traditional method, the accessibility and scale of medical service could not meet the needs of patients on a daily basis.…”