Advances in IoMT for Healthcare Systems–2nd Edition

Dear Colleagues,

The rapid development of micro-computing devices such as sensors, actuators, RFID tags, and machine-to-machine (M2M) communications has enabled new Internet of Things (IoT) solutions to reshape many network applications. One example of this is the healthcare system, which has been revolutionized by IoT solutions due to the introduction of the Internet of Medical Things (IoMT) system. The IoMT solution has attracted a great deal of attention because of its ability to autonomously acquire, analyze, and share data on the Internet with the help of micro-computing medical devices, data-processing algorithms, and supporting communication protocols. Modern healthcare services widely use IoMT applications to remotely monitor patients with chronic diseases and improve their quality of life. However, the adoption of IoMT faces many challenges, such as the interoperability between medical systems, the design of wearable (and/or ambient) medical devices, medical data analysis, the security and privacy of patient records, and the interaction between patients and medical devices. In this regard, modern computing technologies (such as machine learning, cloud/edge computing, and data mining), soft computing methods, and dedicated communication protocols could help provide services for the IoMT system to improve timely patient diagnosis. It could also improve disease control, treatment methods, drug management, and improve the user experience of the patient and medical staff.

The purpose of this Special Issue is to provide the latest reference material on the theoretical and practical challenges, as well as innovative ideas and solutions for the IoMT in healthcare systems. The scope of this Special Issue includes (but is not limited to) the following: high-performance and resilient infrastructure for IoMT systems; ontology-based recommendations and disease identification systems; innovative wearable and/or ambient IoMT devices; the collection, modeling, and evaluation of big data for IoMT systems; in-hospital and in-home healthcare functions for IoMT systems; M2M interoperability and communication protocols for IoMT systems; optimized data security, privacy, and trust for IoMT systems; AI-based IoMT in telehealth virtual consulting and patient monitoring; innovative human–computer interaction models for IoMT systems; legal, ethical, and social considerations in IoMT for healthcare systems; AI-based signal and image processing applied to health; data analysis for health issues; EEG signals and systems.

Prof. Dr. Jin-Ghoo Choi
Dr. Muhammad Shafiq
Guest Editors

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• Advances in IoMT for Healthcare Systems in Sensors (15 articles)