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A Joint Deep Learning and Internet of Medical Things Driven Framework for Elderly Patients

Tianle Zhang, Ali Hassan Sodhro, Zongwei Luo, Noman Zahid, Muhammad Wasim Nawaz, Sandeep Pirbhulal, Muhammad Muzammal
2020 IEEE Access  
data transmission for elderly healthcare.  ...  Second, a novel joint DL-IoMT framework is proposed for the cardiac image processing of remote elderly patients. Third, DL driven layered architecture for IoMT is proposed.  ...  living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology).  ... 
doi:10.1109/access.2020.2989143 fatcat:55s2ost6u5gdpl6h3cskfvdjka

QoS in Body Area Networks

M. A. Razzaque, Muta Tah Hira, Mukta Dira
2017 ACM transactions on sensor networks  
With the promise of being cost effective, unobtrusive, and facilitating continuous monitoring, BANs have attracted a wide range of monitoring applications, including medical and healthcare, sports, and  ...  In this regard, this article identifies a set of QoS requirements for BANs applications and shows how these requirements are linked in a 3-tier BAN system, and presents a comprehensive review of the existing  ...  flexible data storage support for medical data and healthcare data.  ... 
doi:10.1145/3085580 fatcat:tacp6p33f5ezhk6dqupgwvis7i

Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches

Meriam Ben Ammar, Imed Ben Dhaou, Dhouha El Houssaini, Salwa Sahnoun, Ahmed Fakhfakh, Olfa Kanoun
2022 Electronics  
This paper provides a comprehensive review of joint energy-harvesting technologies and computation-offloading strategies for the IoMT.  ...  In the last few years, extensive investigations have been conducted to develop energy-autonomous systems for the IoMT by implementing energy-harvesting (EH) technologies as a feasible and economically  ...  In [8] a joint optimization framework was also proposed for IoT fog computing to achieve optimal resource allocation.  ... 
doi:10.3390/electronics11030383 fatcat:hc5qgeolere2vph42gd4rz5udq

Internet of Things and cloud computing [chapter]

Nishant Singh, Mohsin Raza, Vishnu Vardhan Paranthaman, Muhammad Awais, Muhammad Khalid, Ehtasham Javed
2021 Digital Health  
While there are some case studies presenting the use of medical sensors, remote healthcare support and intelligent solutions for diagnosis and monitoring [2À5], the implantation of such systems is only  ...  This prevailing situation urges immediate action to transform the conventional healthcare infrastructure to a more resilient, technology driven and self-sustainable healthcare system.  ...  , resource and response, (3) preprocessing later for data trimming, preprocessing filtering, (4) temporary storage layer for data replication, distribution, and managing storage devices, (5) security layer  ... 
doi:10.1016/b978-0-12-818914-6.00013-2 fatcat:xh6mibavx5hktkyzysxskx6lhe

A Survey on Internet of Things and Cloud Computing for Healthcare

L. Minh Dang, Md. Jalil Piran, Dongil Han, Kyungbok Min, Hyeonjoon Moon
2019 Electronics  
, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing.  ...  Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted.  ...  healthcare monitoring system NA System is resilience against known attacks. • Propose a cloud-based user authentication scheme for secure authentication of medical data. • Create a secret session key for  ... 
doi:10.3390/electronics8070768 fatcat:qg7w4bg25fdy7eoas7eaibfkxe

Artificial Intelligence with the Internet of Things on Healthcare systems: A Survey

Mahalakshmi S, 2St. Peter's Institute of Higher Education & Research, Chennai, Tamil Nadu, India
2019 International Journal of Advanced Trends in Computer Science and Engineering  
For applying ML to IoT data, the smart systems provide an accurate prediction.  ...  The number of connected devices contains a large number of data, which means IoT devices have endless information in chips and sensors for empowering people in various aspects of their lives.  ...  This research was analyzed to enhance security for the internet of medical things wearables.  ... 
doi:10.30534/ijatcse/2019/27862019 fatcat:jtbfu3z3ajf5vcxyogjiefet4a

AR-based Modern Healthcare: A Review [article]

Jinat Ara, Hanif Bhuiyan, Yeasin Arafat Bhuiyan, Salma Begum Bhyan, Muhammad Ismail Bhuiyan
2021 arXiv   pre-print
The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system.  ...  challenges, and concludes with recommendations to a new direction for further research.  ...  In contrast, smart glass is a wearable hands-free control system that collects patient's physical information and provides accurate solutions during surgery and diagnosis.  ... 
arXiv:2101.06364v1 fatcat:5ff3ggtvfncclnlgh6cdfnqmly

Federated Learning for Smart Healthcare: A Survey [article]

Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
2021 arXiv   pre-print
The recent FL designs for smart healthcare are then discussed, ranging from resource-aware FL, secure and privacy-aware FL to incentive FL and personalized FL.  ...  Subsequently, we provide a state-of-the-art review on the emerging applications of FL in key healthcare domains, including health data management, remote health monitoring, medical imaging, and COVID-19  ...  A promising direction towards resource-aware FL for smart healthcare is to optimize joint computing and radio resources.  ... 
arXiv:2111.08834v1 fatcat:jmex4e25rbgy3bk67iolrj4uee

A Comprehensive Survey of the Internet of Things (IoT) and Edge Computing in Healthcare

Fatima Alshehri, Ghulam Muhammad
2020 IEEE Access  
We survey this literature by answering several research areas on IoT and IoMT, AI, edge and cloud computing, security, and medical signals fusion.  ...  Here, we present a comprehensive survey of IoT-and IoMTbased edge-intelligent smart health care, mainly focusing on journal articles published between 2014 and 2020.  ...  [85] realized a security mechanism for a smart healthcare system using the IoMT.  ... 
doi:10.1109/access.2020.3047960 fatcat:adbkd6gfg5dtnigtumglmtsecu

A New Framework Architecture for Next Generation e-Health Services

M. Fengou, G. Mantas, D. Lymberopoulos, N. Komninos, S. Fengos, N. Lazarou
2013 IEEE journal of biomedical and health informatics  
The challenge for fast and low-cost deployment of ubiquitous personalized e-Health services has prompted us to propose a new framework architecture for such services.  ...  We have studied the operational features and the environment of e-Health services and we led to a framework structure that extends the ETSI/Parlay architecture, which is used for the deployment of standardized  ...  Based on many modern context-aware systems, the required functionalities for achieving context-awareness are the following [11] , [14] : Modeling of raw bio and context data gathered from wearable sensors  ... 
doi:10.1109/titb.2012.2224876 pmid:23086531 fatcat:jhabgjj72vapre3hirdxp4hv3a

A Blockchain-Enabled Framework for mHealth Systems

Dragos Daniel Taralunga, Bogdan Cristian Florea
2021 Sensors  
Smart contracts are used to create data queries, to access patient data by healthcare providers, to record diagnostic, treatment, and therapy, and to send alerts to patients and medical professionals.  ...  However, major limitations include the transparency, security, and privacy of health data.  ...  Acknowledgments: Part of this work was supported by a grant of the Romanian Ministry of Education and Research, CNCS-UEFISCDI, project number PN-III-P1-1.1-TE-2019-0420, within PNCDI III.  ... 
doi:10.3390/s21082828 pmid:33923842 fatcat:ybk6eqizofeavkbqkrznx2lzya

Secure Healthcare Data Aggregation and Transmission in IoT—A Survey

Ata Ullah, Muhammad Azeem, Humaira Ashraf, Abdulellah A. Alaboudi, Mamoona Humayun, NZ Jhanjhi
2021 IEEE Access  
Smart healthcare sensors and IoT enabled medical devices exchange data and collaborate with other smart devices without human interaction to securely transmit collected sensitive healthcare data towards  ...  Alongside data communications, security and privacy is also quite challenging to securely aggregate and transmit healthcare data towards Fog and cloud servers.  ...  However, it is a challenging task to formulate a secure system consuming fewer medical resources.  ... 
doi:10.1109/access.2021.3052850 fatcat:6dszryk5rjfdxnsw7usc6kjudm

D1.1: HEIR innovations for healthcare systems

Apostolis Zarras
2021 Zenodo  
privacy in a healthcare system.  ...  This deliverable sets the scene for the project's work to follow by identifying the role of security in the health domain and gaining insight into the parameters that drive the security, assurance, and  ...  for security, assurance, and privacy in a healthcare system.  ... 
doi:10.5281/zenodo.5749855 fatcat:bazdcvuxtzdtphqp4k5yu6hap4

Overview of Lifelogging: Current Challenges and Advances

Amel Ksibi, Ala Saleh Alluhaidan, Amina Salhi, Sahar A. El-Rahman
2021 IEEE Access  
PRIVACY AND SECURITY CHALLENGES Lifelogging system is a framework for the daily recording of personal and sensitive data of individuals, and usually includes asset constrained smart objects (sensors)  ...  Additionally, building a self-recording platform integrated with the medical platform is a convenient way to have all data in one place.  ... 
doi:10.1109/access.2021.3073469 fatcat:qm32iyh77jc43dbux6ftauhtpu

R-Mon: An mhealth Tool for Real-time Respiratory Monitoring During Pandemics and Self-Isolation

Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed
2020 2020 IEEE World Congress on Services (SERVICES)  
The current healthcare system around the world faces the potential problem of lacking resources to assist a large number of patients at the same time; then, the non-critical patients are mostly referred  ...  We also propose a framework in which the detected information can be directly seen by the practitioner for the decision-making process.  ...  The potential hospitalization are estimated daily, and shown to the healthcare provider. We hope that this proposed strategy can help the healthcare system to plan in advance the resources.  ... 
doi:10.1109/services48979.2020.00017 fatcat:5wh3fj4ylbf3tf2mawrnvmwkpq
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