Article
Geriatrics & Gerontology
Limor Zadik, Saritte Perlman, Orly Barak, Tomer Ziv-Baran
Summary: This study aimed to evaluate the agreement between face-to-face and videoconference administration of the Montreal Cognitive Assessment (MoCA) using a mobile phone. The results showed that conducting a MoCA via videoconference using a mobile phone is a viable method for providing medical care to individuals without significant visual or hearing impairment.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2023)
Article
Ophthalmology
Carly Stewart, Josephine Coffey-Sandoval, Mark W. Reid, Tiffany C. Ho, Thomas C. Lee, Sudha Nallasamy
Summary: The study assessed the accuracy of real-time telemedicine in diagnosing and managing paediatric eye conditions, demonstrating excellent agreement between telemedicine and in-person examinations. Families showed high satisfaction with the quality of telemedicine examinations and willingness to participate in the future. Collaboration between ophthalmologists and optometrists using technology can improve access to eye care for underserved populations.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2022)
Article
Ophthalmology
Huan Chen, Xuefeng Pan, Jingyuan Yang, Jing Fan, Mingwei Qin, Hu Sun, Jinxin Liu, Na Li, Daniel Shu Wei Ting, Youxin Chen
Summary: Interest in teleophthalmology has been increasing, especially during the COVID-19 pandemic. The study introduced a new teleophthalmology paradigm to treat DR at a distance, which may help ensure remote patients have access to essential health care. Further studies are needed to compare this approach with the current standard of care to determine potential differences in visual acuity or safety outcomes.
JAMA OPHTHALMOLOGY
(2021)
Article
Health Care Sciences & Services
Centaine L. Snoswell, Helen M. Haydon, Jaimon T. Kelly, Emma E. Thomas, Liam J. Caffery, Anthony C. Smith
Summary: This study investigated Australian adults' consumer experiences with and preferences for telephone and videoconference consultations (telehealth), and compared them to traditional in-person consultations. The results showed that most participants preferred telephone consultations over videoconference, except when prescriptions or test results were needed. Experience with videoconference increased consumer preferences for future use.
JOURNAL OF TELEMEDICINE AND TELECARE
(2023)
Article
Computer Science, Information Systems
Zahra Heydari, Aminollah Mahabadi
Summary: This paper presents a passive real-time localization method based on the time difference of arrival signal, which integrates local direction-finding information and derives a global location-finding information to improve the location accuracy. The method achieves high accuracy and robustness in both near-field and far-field scenarios.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Neurosciences
Matthew B. Hunter, Natalie Jenkins, Clare Dolan, Hannah Pullen, Craig Ritchie, Graciela Muniz-Terrera
Summary: Remote administration of cognitive tests through telephone and videoconferencing in older adults shows some reliability compared to in-person testing, but there is modality bias in dementia patients and improvements are needed in statistical design and reporting of administrative procedures. Videoconferencing demonstrates stronger reliability evidence, but its applicability in home administration and severe dementia is limited.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Geriatrics & Gerontology
Christine Gagnon, Miloudza Olmand, Emma Gabrielle Dupuy, Florent Besnier, Thomas Vincent, Catherine-Alexandra Gregoire, Marianne Levesque, Marie Payer, Beatrice Berube, Juliana Breton, Catia Lecchino, Nadia Bouabdallaoui, Josep Iglesies-Grau, Mathieu Gayda, Paolo Vitali, Anil Nigam, Martin Juneau, Carol Hudon, Louis Bherer
Summary: This study aimed to develop French-Quebec normative data for videoconference-administered MoCA, taking sociodemographic characteristics into consideration. The obtained normative data will enable clinicians to continue conducting remote assessments during the pandemic and perform cognitive assessments for patients in remote areas.
AGING CLINICAL AND EXPERIMENTAL RESEARCH
(2022)
Review
Health Care Sciences & Services
Alana Dinh, Andrew Lukas Yin, Deborah Estrin, Peter Greenwald, Alexander Fortenko
Summary: This review summarizes the implementation of augmented reality (AR) in remote medical care and education, highlighting its potential to enhance information access and guidance. It identifies the current gaps in research and emphasizes the need for further investigation and validation of AR as an alternative to telecommunication platforms and in-person interactions.
JMIR MHEALTH AND UHEALTH
(2023)
Editorial Material
Environmental Sciences
Roman Zweifel, Christoforos Pappas, Richard L. Peters, Flurin Babst, Daniel Balanzategui, David Basler, Ana Bastos, Mirela Beloiu, Nina Buchmann, Arun K. Bose, Sabine Braun, Alexander Damm, Petra D'Odorico, Jan U. H. Eitel, Sophia Etzold, Patrick Fonti, Elham Rouholahnejad Freund, Arthur Gessler, Matthias Haeni, Guenter Hoch, Ansgar Kahmen, Christian Korner, Jan Krejza, Frank Krumm, Michael Leuchner, Christoph Leuschner, Mirko Lukovic, Jordi Martinez-Vilalta, Radim Matula, Henning Meesenburg, Patrick Meir, Roman Plichta, Rafael Poyatos, Brigitte Rohner, Nadine Ruehr, Roberto L. Salomon, Tobias Scharnweber, Marcus Schaub, David N. Steger, Kathy Steppe, Christopher Still, Marko Stojanovic, Volodymyr Trotsiuk, Yann Vitasse, Georg von Arx, Martin Wilmking, Cedric Zahnd, Frank Sterck
Summary: Forests account for a significant amount of the world's biomass and biodiversity. To better understand forest dynamics, a global monitoring network is needed. This network should be capable of connecting existing monitoring sites and providing real-time data for assessments and predictions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Jian Fu, Fan Li, Jianhui Zhao
Summary: This article proposes a novel horizon detection algorithm that combines traditional methods and convolutional neural networks. Experimental results show that the proposed algorithm achieves the highest accuracy and stability in various scenes, and meets real-time needs.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Health Care Sciences & Services
Elena Von Wirth, Sarah Willems, Manfred Doepfner, Lea Teresa Kohl
Summary: This study is a meta-analysis that evaluates the effectiveness of videoconference-delivered psychotherapy (VCP) for children and adolescents with a mental disorder and their parents. The results indicate that VCP is an effective treatment in reducing symptoms and functional impairments in children, and it is as effective as in-person treatment. However, the study is limited by the small number of randomized controlled trials (RCTs) and incomplete reporting of methodological features.
JOURNAL OF TELEMEDICINE AND TELECARE
(2023)
Review
Health Care Sciences & Services
Thomas McMaster, Krinal Mori, Sharon Lee, Siri Manasa, Wanda Stelmach, Henry To
Summary: This study provides a review and commentary on the challenges and innovative solutions in telemedicine for surgical clinics. The findings suggest that advanced telecommunication technology has made telemedicine an effective and safe form of healthcare delivery. The implementation of innovative protocols and technologies has addressed the limitations of telemedicine. It is recommended for surgical clinics to invest in telehealth workflow coordination and information technology support to troubleshoot technical difficulties and provide education for providers and consumers.
TELEMEDICINE AND E-HEALTH
(2023)
Article
Chemistry, Multidisciplinary
Zoltan Richard Janki, Vilmos Bilicki
Summary: In modern telemedicine systems, the complexity of data path makes it difficult to predict the effects of lacking or improperly processed data on the final outcome. Rapid identification and rectification of issues are crucial, and a comprehensive examination requires modeling approaches. The proposed hybrid framework combines simulation, emulation, and modeling to evaluate the state space and potential consequences of a large system in a targeted and condensed manner.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Jeffrey R. Balzer, Julia Caviness, Don Krieger
Summary: Real-time consultation and monitoring of nervous system function is provided in over 410,000 high-risk surgeries annually in the US, with more than 80% of cases being staffed by remote clinical neurophysiologists using real-time telemedicine. The article describes the evolution of the underlying technologies.
Article
Environmental Sciences
Radia Zeghari, Rachid Guerchouche, Minh Tran Duc, Francois Bremond, Maria Pascale Lemoine, Vincent Bultingaire, Kai Langel, Zeger De Groote, Francis Kuhn, Emmanuelle Martin, Philippe Robert, Alexandra Konig
Summary: This study evaluated the feasibility and reliability of a mobile unit equipped with a telemedical service for remote cognitive testing. Results showed no significant differences in test results between the mobile clinic and a specialized clinic setting, with participants being overall satisfied with the mobile clinic experience and finding the use of the telemedical system relatively easy.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Computer Science, Hardware & Architecture
Rui Zhang, Zheng Yan, Xuerui Wang, Robert H. Deng
Summary: Voiceprint Authentication as a Service (VAaS) is a cloud service that provides user authentication based on voiceprints, and it uses methods such as the Log Magnitude Approximate (LMA) vocal tract model to protect the original voiceprints of users, solving the problem of voiceprint leakage, and demonstrating high accuracy and reliability.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Information Systems
Yanbing Ren, Xinghua Li, Yinbin Miao, Robert H. Deng, Jian Weng, Siqi Ma, Jianfeng Ma
Summary: Location-Based Services (LBSs) are widely used mobile applications, but the privacy of location information is a concern. Geo-Ind is a privacy protection model that provides security guarantees but disrupts statistical location distribution. To address this, we propose DistPreserv definition and a privacy-preserving LBS scheme that includes location perturbation and retrieval area determination methods. The proposed mechanism achieves DistPreserv and incentive compatibility, improving availability of location distributions by over 90% in experiments.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Qiuyun Tong, Yinbin Miao, Hongwei Li, Ximeng Liu, Robert H. Deng
Summary: With the increasing popularity of GPS-equipped mobile devices in cloud-assisted fog computing scenarios, there is a need for privacy-preserving ranked spatial keyword query. The proposed PRSQ-F scheme addresses this issue by combining spatial and textual conditions, using conversion protocol and attribute-based encryption, and constructing an R-tree-based index. The security analysis and empirical experiments demonstrate the efficiency and feasibility of PRSQ-F.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Shengmin Xu, Jianting Ning, Yingjiu Li, Yinghui Zhang, Guowen Xu, Xinyi Huang, Robert H. Deng
Summary: To reduce costs and improve collaboration in healthcare research and commercial activities, electronic medical records (EMRs) are proposed to shift to shareable electronic records. However, the trustworthiness of cloud service providers poses a challenge. In this paper, a secure and efficient EMR sharing system is proposed, featuring a novel cryptosystem and blockchain technology, which allows fine-grained sharing and detection of unauthorized manipulation.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Jianfei Sun, Guowen Xu, Tianwei Zhang, Xuehuan Yang, Mamoun Alazab, Robert H. Deng
Summary: The cloud-based data sharing technology with cryptographic primitives allows data owners to outsource data and share information privately with arbitrary recipients regardless of geographical barriers. However, existing efforts in outsourced data sharing are inefficient, inflexible, or insecure due to issues such as dynamic target ciphertext designation, identity hiding of recipients, and verification of outsourced ciphertext transformation. Motivated by this, we design VF-PPBA, the first Verifiable, Fair and Privacy-preserving Broadcast Authorization framework for flexible data sharing in clouds. Using a new primitive called privacy-preserving multi-recipient broadcast proxy re-encryption (PPMR-BPRE), we ensure efficient ciphertext transformation, identity protection, and verify the correctness of outsourced conversion tasks.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Theory & Methods
Shengmin Xu, Xinyi Huang, Jiaming Yuan, Yingjiu Li, Robert H. Deng
Summary: Most blockchains are immutable, which poses challenges for blockchain development due to storage abuse and legal obligations. To address this, Derler et al. proposed a redactable blockchain with fine-grained controllable rewriting using policy-based chameleon hash (PCH). However, their solution lacked accountability, allowing trapdoor holders to potentially abuse their privileges. In this paper, a design for a PCH with blackbox accountability (PCHA) is introduced, offering linkability and traceability to identify responsible trapdoor holders. The PCHA construction is proven to have rigorous security and is implemented with minimal overhead compared to existing solutions.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Lanxiang Chen, Yujie Xue, Yi Mu, Lingfang Zeng, Fatemeh Rezaeibagha, Robert H. Deng
Summary: In this article, a novel context-aware semantically extensible searchable symmetric encryption (CASE-SSE) based on Word2vec model is proposed to address the problem of incomplete or deviating search results in traditional SSE schemes. The proposed scheme utilizes outsourced datasets as corpora to train the Word2vec model and generates an ontology knowledge base for semantic extension of query keywords. The k-means clustering algorithm is used for multi-keyword search, and AVL-tree and inverted index are constructed for efficient context-aware semantic extension. Security analysis and experimental results demonstrate the effectiveness and superiority of the proposed scheme in terms of efficiency and accuracy.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Information Systems
Rui Shi, Huamin Feng, Yang Yang, Feng Yuan, Yingjiu Li, Hwee Hwa Pang, Robert H. Deng
Summary: This study proposes a novel efficient threshold attribute-based anonymous credential scheme that supports threshold tracing and revocation of user credentials, significantly reduces the complexity of credential verification, and enjoys strong security features.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Qiuyun Tong, Xinghua Li, Yinbin Miao, Yunwei Wang, Ximeng Liu, Robert H. Deng
Summary: Symmetric Searchable Encryption (SSE) can ensure data privacy while supporting retrieval over encrypted data, but existing multi-user SSE schemes have weaknesses. To address these issues, we propose an Owner-free Distributed Symmetric searchable encryption supporting Conjunctive query (ODiSC) scheme, which improves security and efficiency through dual-cloud architecture and additive secret sharing.
ACM TRANSACTIONS ON STORAGE
(2023)
Article
Computer Science, Theory & Methods
Bowen Zhao, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Yingjiu Li, Robert H. Deng
Summary: This paper presents CROWD FA, a novel paradigm for privacy-preserving mobile crowdsensing (MCS) through federated analytics (FA), which achieves a well-rounded solution encompassing data aggregation, incentive design, and privacy protection. CROWD FA enables participants to perform aggregation operations on their local data, while preserving privacy through efficient cryptographic techniques. Experimental evaluations demonstrate that CROWD FA outperforms state-of-the-art approaches by achieving up to 22 times faster computation time.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Theory & Methods
Xueqiao Liu, Guomin Yang, Willy Susilo, Kai He, Robert H. Deng, Jian Weng
Summary: This paper proposes a computation framework for protecting sensitive data privacy, which can be applied to computation tasks with multiple input sources and/or multiple output recipients. The framework ensures privacy for the entire computation process and supports basic operations in Boolean circuits. In addition, it presents a privacy-preserving Bloom Filter and a multi-keyword searchable encryption scheme based on the proposed framework.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Theory & Methods
Jianfei Sun, Guowen Xu, Tianwei Zhang, Xuehuan Yang, Mamoun Alazab, Robert H. H. Deng
Summary: In this paper, we propose PS-ME, the first Privacy-aware and Security-enhanced efficient Matchmaking Encryption (ME) for flexible data sharing. We introduce an identity-based broadcast matchmaking encryption (IB-BME) for one-to-many data sharing and use it as the basis for developing PS-ME, which offers efficient decryption, identity anonymity, and CCA-security.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Theory & Methods
Lanxiang Chen, Yi Mu, Lingfang Zeng, Fatemeh Rezaeibagha, Robert H. Deng
Summary: In this paper, a novel approach is proposed to achieve privacy-preserving statistical analysis on an encrypted database. A privacy-preserving calculator is constructed to calculate attributes' count values for later statistical analysis, and an authenticable additive homomorphic encryption scheme is adopted to authenticate these encrypted count values. Furthermore, a cryptosystem based on binary vectors is proposed to achieve complex logic expressions for statistical analysis on encrypted data. Several protocols for statistical analysis, including conjunctive, disjunctive, and complex logic expressions, are designed with the aid of the proposed cryptographic calculator to achieve more complicated statistical functionalities. Experimental results show the feasibility and practicality of the proposed scheme.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Yinbin Miao, Chao Xu, Yifeng Zheng, Ximeng Liu, Xiangdong Meng, Robert H. Deng
Summary: Spatial range query is widely used in various applications due to the advancement of geo-positioning technology. To address the efficiency and security challenges in large-scale encrypted spatial data, a novel efficient Privacy-preserving Spatial Range Query (ePSRQ) scheme in dual-cloud architecture is proposed. The scheme utilizes a novel index structure, Geohash algorithm, Circular Shift and Coalesce Zero-Sum Garbled Bloom Filter (CSC-ZGBF), and Symmetric Homomorphic Encryption (SHE) to achieve computational complexity independent of dataset size. Formal security analysis demonstrates its robustness against chosen-plaintext attack, and extensive experiments confirm its feasibility in real-world applications.
2023 IEEE 43RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, ICDCS
(2023)
Article
Automation & Control Systems
Yifan Zhang, Yinbin Miao, Xinghua Li, Linfeng Wei, Zhiquan Liu, Kim-Kwang Raymond Choo, Robert H. Deng
Summary: Researchers propose a secure and communication-efficient federated learning scheme using improved compressed sensing and CKKS homomorphic encryption to solve the issue of data silos and privacy leakage in distributed machine learning.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
