1
|
Alòs F, Aldon Mínguez D, Cárdenas-Ramos M, Cancio-Trujillo JM, Cánovas Zaldúa Y, Puig-Ribera A. [Mobile health in primary care. New challenges in the development of solutions to promote physical activity and well-being]. Aten Primaria 2024; 56:102900. [PMID: 38479201 PMCID: PMC10944101 DOI: 10.1016/j.aprim.2024.102900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 03/19/2024] Open
Abstract
The use of smart devices such as mobile phones (smartphones) or smart watches (smartwatch) to promote physical activity and well-being has increased in recent years among patients and professionals in primary care. This change is driven by the access of patients and professionals to a large catalog of health applications, which can complement the provision of services and promote the empowerment of patients in their own health and lifestyles. These applications are beginning to be integrated with areas such as Artificial Intelligence (AI), the Internet of Medical Things (IoMT) and data storage in the cloud, among other emerging technological systems, offering a new complementary approach to clinical practice known so far. Despite the great potential, there are numerous limitations and major challenges for its full implementation in clinical practice.
Collapse
Affiliation(s)
- Francesc Alòs
- EAP Passeig de Sant Joan, Institut Català de la Salut, Barcelona, España; Tecnocampus Mataró (TCM) - Universitat Pompeu Fabra (UPF), Mataró, Barcelona, España.
| | | | - Marta Cárdenas-Ramos
- EAP Sagrada Família, Consorci Sanitari Integral (CSI), CAP Sagrada Família, Barcelona, España
| | - José Manuel Cancio-Trujillo
- Tecnocampus Mataró (TCM) - Universitat Pompeu Fabra (UPF), Mataró, Barcelona, España; Centro Sociosanitario El Carme, Servicios Asistenciales de Badalona, Badalona, Barcelona, España
| | - Yoseba Cánovas Zaldúa
- EAP Passeig de Sant Joan, Institut Català de la Salut, Barcelona, España; Dirección Asistencial de Atención Primaria y a la Comunidad, Institut Català de la Salut, Barcelona, España
| | - Anna Puig-Ribera
- Sport and Physical Activity Research Group, Centre for Health and Social Care Research, Universitat de Vic - Universitat Central de Catalunya, Vic, Barcelona, España
| |
Collapse
|
2
|
Al-Sumaidaee G, Žilić Ž. Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange. SENSORS (BASEL, SWITZERLAND) 2024; 24:1264. [PMID: 38400422 PMCID: PMC10892136 DOI: 10.3390/s24041264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
In an era dominated by rapid digitalization of sensed data, the secure exchange of sensitive information poses a critical challenge across various sectors. Established techniques, particularly in emerging technologies like the Internet of Things (IoT), grapple with inherent risks in ensuring data confidentiality, integrity, and vulnerabilities to evolving cyber threats. Blockchain technology, known for its decentralized and tamper-resistant characteristics, stands as a reliable solution for secure data exchange. However, the persistent challenge lies in protecting sensitive information amidst evolving digital landscapes. Among the burgeoning applications of blockchain technology, non-fungible tokens (NFTs) have emerged as digital certificates of ownership, securely recording various types of data on a distributed ledger. Unlike traditional data storage methods, NFTs offer several advantages for secure information exchange. Firstly, their tamperproof nature guarantees the authenticity and integrity of the data. Secondly, NFTs can hold both immutable and mutable data within the same token, simplifying management and access control. Moving beyond their conventional association with art and collectibles, this paper presents a novel approach that utilizes NFTs as dynamic carriers for sensitive information. Our solution leverages the immutable NFT data to serve as a secure data pointer, while the mutable NFT data holds sensitive information protected by steganography. Steganography embeds the data within the NFT, making them invisible to unauthorized eyes, while facilitating portability. This dual approach ensures both data integrity and authorized access, even in the face of evolving digital threats. A performance analysis confirms the approach's effectiveness, demonstrating its reliability, robustness, and resilience against attacks on hidden data. This paves the way for secure data transmission across diverse industries.
Collapse
Affiliation(s)
- Ghassan Al-Sumaidaee
- Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0G4, Canada;
| | | |
Collapse
|
3
|
Sharma P, Choi K, Krejcar O, Blazek P, Bhatia V, Prakash S. Securing Optical Networks Using Quantum-Secured Blockchain: An Overview. SENSORS (BASEL, SWITZERLAND) 2023; 23:1228. [PMID: 36772267 PMCID: PMC9920734 DOI: 10.3390/s23031228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/14/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
The deployment of optical network infrastructure and development of new network services are growing rapidly for beyond 5/6G networks. However, optical networks are vulnerable to several types of security threats, such as single-point failure, wormhole attacks, and Sybil attacks. Since the uptake of e-commerce and e-services has seen an unprecedented surge in recent years, especially during the COVID-19 pandemic, the security of these transactions is essential. Blockchain is one of the most promising solutions because of its decentralized and distributed ledger technology, and has been employed to protect these transactions against such attacks. However, the security of blockchain relies on the computational complexity of certain mathematical functions, and because of the evolution of quantum computers, its security may be breached in real-time in the near future. Therefore, researchers are focusing on combining quantum key distribution (QKD) with blockchain to enhance blockchain network security. This new technology is known as quantum-secured blockchain. This article describes different attacks in optical networks and provides a solution to protect networks against security attacks by employing quantum-secured blockchain in optical networks. It provides a brief overview of blockchain technology with its security loopholes, and focuses on QKD, which makes blockchain technology more robust against quantum attacks. Next, the article provides a broad view of quantum-secured blockchain technology. It presents the network architecture for the future research and development of secure and trusted optical networks using quantum-secured blockchain. The article also highlights some research challenges and opportunities.
Collapse
Affiliation(s)
- Purva Sharma
- Signals and Software Group, Department of Electrical Engineering, Indian Institute of Technology Indore, Indore 453552, India
| | - Kwonhue Choi
- Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Ondrej Krejcar
- Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
- Institute of Technology and Business in Ceske Budejovice, 370 01 Ceske Budejovice, Czech Republic
- Malaysia Japan International Institute of Technology (MJIIT), University Teknologi Malaysia, Kuala Lumpur 54100, Malaysia
| | - Pavel Blazek
- Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
| | - Vimal Bhatia
- Signals and Software Group, Department of Electrical Engineering, Indian Institute of Technology Indore, Indore 453552, India
- Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
| | - Shashi Prakash
- Photonics Laboratory, Department of Electronics and Instrumentation Engineering, Institute of Engineering and Technology, Devi Ahilya University, Indore 452017, India
| |
Collapse
|
4
|
Numan L, Moazeni M, Oerlemans MI, Aarts E, Van Der Kaaij NP, Asselbergs FW, Van Laake LW. Data-driven monitoring in patients on left ventricular assist device support. Expert Rev Med Devices 2022; 19:677-685. [DOI: 10.1080/17434440.2022.2132147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Lieke Numan
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
| | - Mehran Moazeni
- Department of Methodology and Statistics, Utrecht University, Heidelberglaan 8, 3584 CS, Utrecht, the Netherlands
| | - Marish I.F.J. Oerlemans
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
| | - Emmeke Aarts
- Department of Methodology and Statistics, Utrecht University, Heidelberglaan 8, 3584 CS, Utrecht, the Netherlands
| | - Niels P. Van Der Kaaij
- Department of Cardiothoracic Surgery, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Folkert W. Asselbergs
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, Gower Street, WC1E 6BT, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, Gower Street, WC1E 6BT, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, the Netherlands
| | - Linda W. Van Laake
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
- Institute of Health Informatics, Faculty of Population Health Sciences, University College London, Gower Street WC1E 6BT, London, UK
| |
Collapse
|
5
|
Baysal MV, Özcan-Top Ö, Betin-Can A. Blockchain technology applications in the health domain: a multivocal literature review. THE JOURNAL OF SUPERCOMPUTING 2022; 79:3112-3156. [PMID: 36060094 PMCID: PMC9424065 DOI: 10.1007/s11227-022-04772-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Blockchain technology has been changing the nature of several businesses, from supply chain management to electronic record management systems and copyright management to healthcare applications. It provides a resilient and secure platform for modifications due to its distributed and shared nature and cryptographic functions. Each new technology, however, comes with its challenges alongside its opportunities. Previously, we performed a systematic literature review (SLR) to explore how blockchain technology potentially benefits health domain applications. The previous SLR included 27 formal literature papers from 2016 to 2020. Noticing that blockchain technology is rapidly growing, we extended the previous SLR with a multivocal literature review (MLR) approach to present the state of the art in this study. We focused on understanding to what degree blockchain could answer the challenges inherited in the health domain and whether blockchain technology may bring new challenges to health applications. The MLR consists of 78 sources of formal literature and 23 sources of gray literature from 2016 to 2021. As a result of this study, we specified 17 health domain challenges that can be categorized into four groups: (i) meeting regulatory requirements and public health surveillance, (ii) ensuring security and privacy, (iii) ensuring interoperability, and (iv) preventing waste of resources. The analysis shows that blockchain makes significant contributions to the solutions of these challenges. However, 10 new pitfalls come with adopting the technology in the health domain: the inability to delete sensitive data once it is added to a chain, limited ability to keep large-scale data in a blockchain, and performance issues. The data we extracted during the MLR is available in a publicly accessible online repository.
Collapse
Affiliation(s)
- Merve Vildan Baysal
- Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
- The Scientific and Technological Research Council of Turkey (TÜBİTAK), Ankara, Türkiye
| | - Özden Özcan-Top
- Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
| | - Aysu Betin-Can
- Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
| |
Collapse
|
6
|
Abstract
The adoption of remote assisted care was accelerated by the COVID-19 pandemic. This type of system acquires data from various sensors, runs analytics to understand people’s activities, behavior, and living problems, and disseminates information with healthcare stakeholders to support timely follow-up and intervention. Blockchain technology may offer good technical solutions for tackling Internet of Things monitoring, data management, interventions, and privacy concerns in ambient assisted living applications. Even though the integration of blockchain technology with assisted care is still at the beginning, it has the potential to change the health and care processes through a secure transfer of patient data, better integration of care services, or by increasing coordination and awareness across the continuum of care. The motivation of this paper is to systematically review and organize these elements according to the main problems addressed. To the best of our knowledge, there are no studies conducted that address the solutions for integrating blockchain technology with ambient assisted living systems. To conduct the review, we have followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology with clear criteria for including and excluding papers, allowing the reader to effortlessly gain insights into the current state-of-the-art research in the field. The results highlight the advantages and open issues that would require increased attention from the research community in the coming years. As for directions for further research, we have identified data sharing and integration of care paths with blockchain, storage, and transactional costs, personalization of data disclosure paths, interoperability with legacy care systems, legal issues, and digital rights management.
Collapse
|
7
|
Harris EJ, Khoo IH, Demircan E. A Survey of Human Gait-Based Artificial Intelligence Applications. Front Robot AI 2022; 8:749274. [PMID: 35047564 PMCID: PMC8762057 DOI: 10.3389/frobt.2021.749274] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/01/2021] [Indexed: 12/17/2022] Open
Abstract
We performed an electronic database search of published works from 2012 to mid-2021 that focus on human gait studies and apply machine learning techniques. We identified six key applications of machine learning using gait data: 1) Gait analysis where analyzing techniques and certain biomechanical analysis factors are improved by utilizing artificial intelligence algorithms, 2) Health and Wellness, with applications in gait monitoring for abnormal gait detection, recognition of human activities, fall detection and sports performance, 3) Human Pose Tracking using one-person or multi-person tracking and localization systems such as OpenPose, Simultaneous Localization and Mapping (SLAM), etc., 4) Gait-based biometrics with applications in person identification, authentication, and re-identification as well as gender and age recognition 5) “Smart gait” applications ranging from smart socks, shoes, and other wearables to smart homes and smart retail stores that incorporate continuous monitoring and control systems and 6) Animation that reconstructs human motion utilizing gait data, simulation and machine learning techniques. Our goal is to provide a single broad-based survey of the applications of machine learning technology in gait analysis and identify future areas of potential study and growth. We discuss the machine learning techniques that have been used with a focus on the tasks they perform, the problems they attempt to solve, and the trade-offs they navigate.
Collapse
Affiliation(s)
- Elsa J Harris
- Human Performance and Robotics Laboratory, Department of Mechanical and Aerospace Engineering, California State University Long Beach, Long Beach, CA, United States
| | - I-Hung Khoo
- Department of Electrical Engineering, California State University Long Beach, Long Beach, CA, United States.,Department of Biomedical Engineering, California State University Long Beach, Long Beach, CA, United States
| | - Emel Demircan
- Human Performance and Robotics Laboratory, Department of Mechanical and Aerospace Engineering, California State University Long Beach, Long Beach, CA, United States.,Department of Biomedical Engineering, California State University Long Beach, Long Beach, CA, United States
| |
Collapse
|