Submission Deadline: 31 August 2023 (closed) View: 143
The Healthcare sector (a.k.a medical industry) offers opportunities to provide smart healthcare solutions like health monitoring, assessment, personal data security, and protection. Significant disruptive trends are reshaping the world and reforming the health industry today. Smart Healthcare systems are deeply connected with smartphones, wearable devices, and the internet of things (IoT). In this context, Ambient assisted living (AAL) has a prominent role in improving scalability in healthcare services, making them reachable to older people, and keeping the user safe in their home environments. Meanwhile, patient data and other critical clinical records are effortlessly transmitted over the network. This data not just give an insight to Healthcare specialists but also give the researcher the premise to provide an optimal solution. Organizations are adopting new approaches to turning data insights into valuable results. Many smart obtrusive devices and systems grow exponentially, resulting in a lack of security and privacy management, structuring medical data. A considerable measure of gathered information to battle the COVID-19 pandemic raises numerous security and protection concerns in this period. In this manner, appropriate medical data privacy and security are getting similarly significant in smart healthcare systems.
Considering these facts, this issue focuses on the researchers investigating and sharing groundbreaking ideas, approaches, hypotheses, and practices centered around smart health monitoring systems, analytics, data security, and privacy for healthcare industries.
This special issue will focus on (but is not limited to) the following topics:
• Connected healthcare, Ambient assisted living (AAL)
• Remote Patient Care Monitoring, Telemedicine system, Medical Management system
• Activity Recognition
• IoT based solutions for intelligent health monitoring
• Medical image analyses, Big data, and deep learning-based healthcare and predictive analysis for healthcare improvement
• Cybersecurity, privacy, and security approaches for healthcare Data (Blockchain, encryption, information hiding, biometrics, Application-level encryption, attack detection, and prevention)
• Security and privacy trends in the industrial applications
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