4.8 Article

Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study

Alessandra De Benedictis et al.

Summary: The digital transformation has greatly impacted the health sector and the Digital Twin technology is considered a game changer in modern health systems. This paper focuses on the application of Digital Twin technology for virus containment in the workplace through social distancing and presents a case study of a canteen service serving 1100 workers.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2023)

Review Public, Environmental & Occupational Health

Applications of Robotics, Artificial Intelligence, and Digital Technologies During COVID-19: A Review

Zhuo Zhao et al.

Summary: Various countries have quickly responded to the COVID-19 pandemic by utilizing technologies like robots, AI, and digital tools for maintaining social distancing, rapid diagnosis, and hygiene. A study examined 163 news articles and scientific reports on technology adoption related to COVID-19, selecting 50 applications for review to analyze their engineering characteristics and potential impact on the pandemic. Challenges and future directions in responding to this and future pandemics were also summarized and discussed.

DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS (2022)

Article Computer Science, Information Systems

Application of Digital Twins in multiple fields

Jinkang Guo et al.

Summary: Digital Twins is a brand-new interactive technology that has been widely applied in various fields due to its centrality, integrity, and dynamics. This paper aims to introduce the application status of Digital Twins and predict its future development trend.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

Article Computer Science, Information Systems

COVID-19 outbreak and the role of digital twin

Saleh Alrashed et al.

Summary: COVID-19 has had a significant impact on human life, and digital twin infrastructure can assist in remote work and alleviate the burden on services and infrastructure. Despite previous success in controlling the virus, Pakistan is struggling with the third wave due to non-compliance with social distancing norms. Digital twin technology can be used to provide services and essential facilities to citizens in response to the long-term impact of COVID-19 on the way we work.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

Article Automation & Control Systems

Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning

Hung Dang et al.

Summary: Digital twin (DT) technology allows for the convergence of the real structure and its digital counterpart throughout their entire life-cycle. This article proposes a DT framework based on cloud computing and deep learning (DL) for efficient real-time monitoring and proactive maintenance. The feasibility of the framework is demonstrated through case studies of damage detection, achieving a high accuracy of 92%.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Article Construction & Building Technology

Digital twin-based structure health hybrid monitoring and fatigue evaluation of orthotropic steel deck in cable-stayed bridge

Sheng Yu et al.

Summary: This study proposes a structure health hybrid monitoring method using a digital twin bridge's finite element model to reconstruct un-monitored structural responses. Additionally, it evaluates the fatigue performance of a steel deck bridge by studying the distribution characteristics of welding residual stress and its coupling effect with other stresses.

STRUCTURAL CONTROL & HEALTH MONITORING (2022)

Review Engineering, Industrial

Digital twin modeling

Fei Tao et al.

Summary: This paper provides a systematic research on the current studies of digital twin modeling and conducts a comprehensive and insightful analysis of digital twin models. It also investigates and summarizes the enabling technologies and tools for digital twin modeling and presents observations and future research recommendations.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Article Chemistry, Analytical

Design, Modeling and Implementation of Digital Twins

Mariana Segovia et al.

Summary: This paper introduces the concept of digital twins and focuses on the process of construction. It explores how to design, create, and connect physical objects with their virtual counterparts, and provides solutions for each stage and experimental platforms.

SENSORS (2022)

Article Chemistry, Analytical

Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry

Radhya Sahal et al.

Summary: Digital twins are crucial for revolutionizing the healthcare industry through personalized, intelligent, and proactive healthcare. Personal digital twins, as an enhanced version of digital twins, can provide valuable insights for accurate decision making and treatment selection for patients. However, personal digital twins are still in their early stages of development, and more efforts are needed.

SENSORS (2022)

Review Computer Science, Information Systems

Data Exchange Techniques for Internet of Robotic Things: Recent Developments

Neha Koul et al.

Summary: This paper introduces the communication architecture and data exchange protocols of the Internet of Robotic Things (IoRT) system. It also discusses the use of artificial intelligence (AI) for secure and reliable communication. By applying these technologies, the IoRT system has the potential to provide rich and universal human reminiscences.

IEEE ACCESS (2022)

Review Engineering, Biomedical

A Scoping Review of Digital Twins in the Context of the Covid-19 Pandemic

Asiya Khan et al.

Summary: Digital Twins (DTs) are promising tools for managing and predicting Covid-19 outbreaks, providing detailed models of patients to determine the most effective care methods. However, research on the use of DTs in healthcare is still in its early stages, particularly in the context of infectious disease outbreaks.

BIOMEDICAL ENGINEERING AND COMPUTATIONAL BIOLOGY (2022)

Proceedings Paper Automation & Control Systems

Employing LIVE Digital Twin in Prognostic and Health Management: Identifying Location of the Sensors

Andrew E. Bondoc et al.

Summary: Digital Twins and their applications in prognostics and diagnostics are rapidly growing and highly valuable for various industries. They can predict the Remaining Useful Life (RUL) of a device and avoid costly maintenance or failure. LIVE Digital Twin is a model-based solution for asset management enabled through sensor communication.

IFAC PAPERSONLINE (2022)

Article Computer Science, Information Systems

A Blockchain Based System for Healthcare Digital Twin

Sadman Sakib Akash et al.

Summary: Digital Twin is a promising technology that replicates physical phenomena in a digital space, but its application in healthcare requires addressing challenges related to data collection and privacy. This article presents a mathematical data model for structured and predefined accumulation of patient data, and proposes a patient-centric Healthcare Digital Twin system based on Blockchain. The feasibility of the proposed model is also evaluated through comparison with relevant research works.

IEEE ACCESS (2022)

Article Business

An AI-Driven Secure and Intelligent Robotic Delivery System

Wei Wang et al.

Summary: Last-mile delivery, accounting for half of the logistics cost, has become popular and automated methods like robotic delivery are being studied to reduce costs. This article proposes an AI-driven robotic delivery system with modules for user authentication and identification, ensuring secure and automated completion of delivery tasks.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2022)

Article Engineering, Industrial

Enabling technologies and tools for digital twin

Qinglin Qi et al.

Summary: Digital twin is revolutionizing industry by mirroring almost every facet of a product, process or service in the digital space. However, realizing their full potential is a complex process as researchers need to model different parts of objects or systems, collect and merge varied types of data, and struggle with determining the technologies and tools to be used. The 5-dimension digital twin model provides guidance for understanding and implementing digital twin technologies.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Review Engineering, Industrial

Review of digital twin about concepts, technologies, and industrial applications

Mengnan Liu et al.

Summary: Engineering software and digitalized equipment are widely used in the industrial product lifecycle, generating massive data. The concept of digital twin has gained much attention and sparked debates. A comprehensive review of 240 academic publications reveals the research status, key technologies, and industrial applications of digital twin.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Article Chemistry, Analytical

CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19

Alfonso P. Ramallo-Gonzalez et al.

Summary: The paper discusses an integrated solution based on IoT technologies named CIoTVID, which can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19. The platform consists of four layers: data acquisition, data aggregation, machine intelligence, and services, and has been successfully tested with a use case creating a classifier of medical conditions using real voice data.

SENSORS (2021)

Review Computer Science, Interdisciplinary Applications

Digital twin paradigm: A systematic literature review

Concetta Semeraro et al.

Summary: Manufacturing enterprises are facing the challenge of aligning themselves with new information technologies (IT) and responding to variable market demand. The key enabler of the IT revolution towards Smart Manufacturing is the digital twin (DT), which constantly synchronizes a virtual image with the real operating scenario to provide sound information for making decisions. This study aims to provide an overview of the main components of DT, their features, and interaction problems, while tracing ongoing research and technical challenges in conceiving and building DTs in different application domains and related technologies.

COMPUTERS IN INDUSTRY (2021)

Article Chemistry, Analytical

A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data

Ivan Vaccari et al.

Summary: The application of machine learning and artificial intelligence in the medical field is expanding, with a focus on remote monitoring and data augmentation for accurate algorithms. By using generative adversarial networks (GANs) to create synthetic datasets, and validating them through machine learning approaches, the accuracy of the synthetic data can be demonstrated.

SENSORS (2021)

Article Green & Sustainable Science & Technology

Digital Twin of COVID-19 Mass Vaccination Centers

Francesco Pilati et al.

Summary: The study aims to develop a digital twin to monitor and optimize the patient flow in vaccination centers in real-time. Through integrating a discrete-event simulation model with a mobile application, problems can be identified and improvement suggestions can be made.

SUSTAINABILITY (2021)

Proceedings Paper Automation & Control Systems

Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces

Enes Yigitbas et al.

Summary: Self-adaptation approaches often rely on closed-loop controllers, but human involvement can be beneficial in certain situations. Human-in-the-loop adaptive systems face challenges of transparency and controllability. By combining digital twins and VR interfaces, alternative strategies for human-in-the-loop adaptation can be explored to improve transparency and controllability.

2021 INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS 2021) (2021)

Review Computer Science, Information Systems

Digital Twin: Origin to Future

Maulshree Singh et al.

Summary: Digital Twin (DT) serves as a virtual copy of physical entities, interconnected in real time through data exchange, with wide applications and expected exponential growth. The complexity of Industry 4.0 system data generation adds to the confusion and lack of consensus surrounding DT terminology and types. Understanding the characteristics and types of DT, and weighing its pros and cons, is crucial for investors and industries.

APPLIED SYSTEM INNOVATION (2021)

Letter Emergency Medicine

Protecting our health care workers during the COVID-19 pandemic

Haley Ehrlich et al.

AMERICAN JOURNAL OF EMERGENCY MEDICINE (2020)

Article Environmental Sciences

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

Zeashan Hameed Khan et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Review Biophysics

Remote health diagnosis and monitoring in the time of COVID-19

Joachim A. Behar et al.

PHYSIOLOGICAL MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Roberto Minerva et al.

PROCEEDINGS OF THE IEEE (2020)

Article Computer Science, Information Systems

End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring

Nora El-Rashidy et al.

ELECTRONICS (2020)

Article Endocrinology & Metabolism

Internet of things (IoT) applications to fight against COVID-19 pandemic

Ravi Pratap Singh et al.

DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS (2020)

Review Robotics

Internet of Robotic Things Intelligent Connectivity and Platforms

Ovidiu Vermesan et al.

FRONTIERS IN ROBOTICS AND AI (2020)

Review Multidisciplinary Sciences

Challenges and opportunities in IoT healthcare systems: a systematic review

Sureshkumar Selvaraj et al.

SN APPLIED SCIENCES (2020)

Article Computer Science, Information Systems

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously

Chanki Park et al.

IEEE ACCESS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot

Patrick Stotko et al.

2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)

Article Engineering, Industrial

Digital twin and virtual reality: a co-simulation environment for design and assessment of industrial workstations

Vincent Havard et al.

PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL (2019)

Article Computer Science, Information Systems

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

Barbara Rita Barricelli et al.

IEEE ACCESS (2019)

Proceedings Paper Engineering, Electrical & Electronic

IoT Based Remote Health Monitoring System for Patients and Elderly People

Mohd. Hamim et al.

2019 1ST INTERNATIONAL CONFERENCE ON ROBOTICS, ELECTRICAL AND SIGNAL PROCESSING TECHNIQUES (ICREST) (2019)

Article Computer Science, Hardware & Architecture

Everything You Wanted to Know About Smart Health Care

Prabha Sundaravadivel et al.

IEEE CONSUMER ELECTRONICS MAGAZINE (2018)

Article Computer Science, Information Systems

Service robots in hospitals: new perspectives on niche evolution and technology affordances

Tobias Mettler et al.

EUROPEAN JOURNAL OF INFORMATION SYSTEMS (2017)

Article Computer Science, Information Systems

C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

Kazi Masudul Alam et al.

IEEE ACCESS (2017)

Review Computer Science, Information Systems

IoT-aided robotics applications: Technological implications, target domains and open issues

L. A. Grieco et al.

COMPUTER COMMUNICATIONS (2014)

Review Environmental Sciences

A Review of Data Quality Assessment Methods for Public Health Information Systems

Hong Chen et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2014)

Review Computer Science, Information Systems

Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

S. T. Liaw et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2013)

Review Computer Science, Artificial Intelligence

Human performance issues and user interface design for teleoperated robots

Jessie Y. C. Chen et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2007)

Article Computer Science, Information Systems

Remote health-care monitoring using personal care connect

M. Blount et al.

IBM SYSTEMS JOURNAL (2007)