Ambient Assistive Methodologies/Frameworks for Internet of Medical Things

Dear Colleagues,

In recent times, hospital-centric healthcare services have shifted to home-centric healthcare services using Internet of Things (IoT)-enabled wearable devices and wireless acoustic solutions. Due to a paradigm shift in technologies such as the IoT and AI-enabled wearable devices, the healthcare discipline has drastically transformed. However, most recent research has been aimed at specific sensors, methodologies, and healthcare applications. Although IoT-enabled heterogeneous sensors can provide remote healthcare monitoring solutions, the IoT and explainable AI-based preventive healthcare frameworks have remained open research issues for fellow researchers.   

With the increasing demand for lower-cost, sophisticated healthcare tools, and solutions, there is an immediate need to propose a complete ambient assistive framework for providing 24 x 7 connectivity among smart devices, a healthcare cloud, and health web and mobile interfaces. In the IoMT, enabling technologies include intelligent biosensors and bioelectronics, wearable healthcare gadgets, big-data-based health frameworks, and rigorous health diagnosis.

This Special Issue focuses on state-of-the-art fog and edge computing-based ambient assistive healthcare frameworks, tools, and system submissions. It also encourages acoustic and computer-vision-based healthcare solution-related articles. This issue aims to promote awareness of ambient healthcare systems, fog and edge computing-based healthcare services, and emergency healthcare solutions.

• Wearable healthcare solutions embedded with biosensors;
• Ambient assistive frameworks and systems;
• Ambient healthcare frameworks such as HL 7;
• Ambient healthcare systems and point-of-care healthcare instrumentation;
• Ubiquitous healthcare systems and architectures;
• Sensor-fusion based ambient healthcare solutions;
• Bioinformatics for healthcare engineering and systems;
• Wireless acoustic systems for healthcare;
• Medical data mining and big data analytics;
• Innovative acoustic classification frameworks and methodologies;
• Biomedical signal and image processing of IoMT;
• IoMT architecture, implementation, and application.

Dr. Hemant Ghayvat
Dr. Sharnil Pandya
Guest Editors

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