Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

Abstract

With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and explosive growth of medical data have brought huge challenges to data access, security and privacy, as well as information processing in Internet of Medical Things (IoMT). This article provides a comprehensive review of how to realize the timely processing and analysis of medical big data and the sinking of high-quality medical resources under the constraints of the existing medical environment and medical-related equipment. We mainly focus on the advantages brought by the cloud computing, edge computing and artificial intelligence technologies to the IoMT. We also explore how to rationalize the use of medical resources and the security and privacy of medical data, so that high-quality medical services can be provided to patients. Finally, we discuss the current challenges and possible future research directions in the edge-cloud computing and artificial intelligence related IoMT. INDEX TERMS Internet of medical things (IoMT), deep learning, edge of computing, computation offloading.

Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation

“…Numerous survey papers on e-health have been published recently [7][8][9][10][11][12][13][14][15]. A systematic review of the wearable sensors to monitor human activities is the focus of [7].…”

“…The work lacks discussions of algorithms used to process big IoMT data, energy harvesting, power management techniques which are vital for wearables. A few shortcomings of the previous survey work have been addressed in [12]. The authors reviewed the existing technologies, algorithms, and architectures for the processing of medical data.…”

Reliable Internet of Things: Challenges and Future Trends

“…Internet of Medical Things (IoMT) is a vital enabler for the future health industry. IoMT can provide applications such as remote patient monitoring, automatic monitoring of emergency patients, medical supply chain control, and contact tracing in pandemic situations [48][49][50][51][52][53][54][55][56].…”

Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications

“…Even though the IoMT concept is at its early stage, the technologies used to embody each layer of IoMT architectures allow for the collection of health data that may be the premise for new diagnostics and treatments [ 13 ]. Nevertheless, when developing IoT-based healthcare applications, one must also assume IoT threats and disadvantages and security measures must be implemented on each layer of the architecture: Devices, Network, Cloud, Application [ 14 ] and also on the extensions of the architecture, where applicable, Edge and Fog [ 14 , 15 ], as IoT provides applications such as drug recommendation, sensor calibration, and health parameter monitoring, which may afflict human beings [ 16 ]. With the advent of body area network deployment, by transmitting sensitive data over insecure networks [ 17 ], the patient privacy and security is endangered, in terms of data confidentiality and integrity [ 18 ].…”