Edge-Cloud-Based Wearable Computing for Automation Empowered Virtual Rehabilitation

Lv, Zhihan; Singh, Amit Kumar

doi:10.1109/tase.2023.3289908

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…This study [46] describes a hybrid deep-learning system for various cyber-attacks smart city platform. This work [47] optimizes a healthcare automation monitoring system supported by wearable computing, edge cloud, and IoT to improve patient rehabilitation.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Izhar,

Naqvi,

Ahmed

et al. 2023

IEEE Access

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This paper presents an innovative framework that leverages cutting-edge technologies to revolutionize healthcare systems, focusing on data security, privacy, and efficient medical diagnosis. Our approach integrates distributed ledger technology (DLT), artificial intelligence (AI), and edge computing to create a robust and dependable medical ecosystem. In our proposed system, patients' health data is securely managed using a combination of elliptic curve cryptography-based identity-based cryptosystems and edge nodes, ensuring both privacy and integrity. These edge nodes, designed for lowpower and short-range communication, play a pivotal role in in-vivo data collection and monitoring within the human body.The DLT model at the core of our framework utilizes peer-to-peer networks, enabling seamless information exchange while eliminating the need for centralized servers. We emphasize public edge DLTs, such as Ethereum, to ensure accessibility and data ownership for all stakeholders. Furthermore, our system incorporates a hybrid machine learning model for early detection and prediction of security threats, enhancing overall system efficiency. Our findings demonstrate a remarkable 99.7% accuracy in classification using this approach. In conclusion, this framework's multidisciplinary approach bridges the gap between healthcare, edge computing, and DLT, promising real-time data processing, enhanced security, and privacy preservation. With the rise of the Internet of Things, this innovation holds the potential to transform the future of healthcare technology.

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Section: Related Workmentioning

confidence: 99%

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Izhar,

Naqvi,

Ahmed

et al. 2023

IEEE Access

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Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: A Scoping Review (Preprint)

Oh,

Lee

2023

Preprint

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BACKGROUND Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and potentially plays a significant role in advancing Rehabilomics research. This study explored the current status and potential benefits of implementing Rehabilomics strategies through cloud-based rehabilitation. OBJECTIVE The objective of this scoping review is to investigate the implementation of Rehabilomics strategies through cloud-based rehabilitation and to summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of Rehabilomics and provide insights into future research directions. METHODS In this scoping review, we systematically searched major academic databases to identify relevant studies and applied the predefined inclusion criteria to select relevant research. Subsequently, we analyzed the selected papers to identify trends and insights regarding cloud-based rehabilitation and Rehabilomics within the current research landscape. RESULTS This study reports the various applications and outcomes of implementing Rehabilomics strategies through cloud-based rehabilitation. Cloud platforms offer new possibilities for data sharing and collaboration in Rehabilomics research, underpinning a patient-centered approach, and enhancing the development of personalized therapeutic strategies. CONCLUSIONS This scoping review highlights the potential significance of cloud-based Rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in Rehabilomics. CLINICALTRIAL The study protocol was registered in the Open Science Framework (https://doi.org/10.17605/OSF.IO/8M2TN).

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Digital transformation in healthcare rehabilitation: A narrative review

Afridi,

Nawaz

2024

J Process Man & New Technol

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The incorporation of digital technologies into healthcare rehabilitation is fundamentally changing patient care. This narrative study is aimed to explore the changing landscape of digital transformation in healthcare rehabilitation, concentrating on the skills and training needed for healthcare professionals, as well as their impact on patient outcomes. The narrative review progresses by delving into the history of healthcare rehabilitation, the growing role of digital technology, and their impact on rehabilitation methods. It defines the important areas of effect, goes into the applications of digital technology, and dissects the abilities required of healthcare professionals, classifying them as technical, soft, and cognitive. The review emphasizes the importance of interprofessional collaboration and skill exchange among healthcare professionals and technology. Furthermore, empirical evidence is used to examine the direct relationship between the adoption of digital technologies and patient outcomes. Ethical concerns, regulatory barriers, and efforts to bridge the digital gap and improve accessibility are explored. The narrative continues by highlighting the impact of these findings on healthcare professionals, institutions, and policymakers, and highlighting the importance of this research in the ongoing era of digital transformation.

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Edge-Cloud-Based Wearable Computing for Automation Empowered Virtual Rehabilitation

Cited by 3 publications

References 47 publications

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: A Scoping Review (Preprint)

Digital transformation in healthcare rehabilitation: A narrative review

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