ArticleJournal of infection and public health2020
Secure and energy-efficient framework using Internet of Medical Things for e-healthcare.
Article in Journal of infection and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 165 citations in OpenAlex.
- A translational IoT healthcare framework integrating secure sensing, energy-aware intelligence, and adaptive emergency response.Scientific reports · 2026Article
- Impact of Using the Internet of Medical Things on e-Healthcare Performance: Blockchain Assist in Improving Smart Contract.ClinicoEconomics and outcomes research : CEOR · 2023Article
- Blockchain Based Delay and Energy Harvest Aware Healthcare Monitoring System in WBAN Environment.Sensors (Basel, Switzerland) · 2022Article
- Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System.Computational intelligence and neuroscience · 2022Article
- An Optimized Artificial Intelligence System Using IoT Biosensors Networking for Healthcare Problems.Computational intelligence and neuroscience · 2022Article
- Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress.Computational intelligence and neuroscience · 2022Review
- Internet of Things, Machine Learning, and Blockchain Technology: Emerging technologies revolutionizing Universal Health Coverage.Frontiers in public health · 2022Article
- RETRACTED ARTICLE: Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis.Wireless personal communications · 2022Review
- Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications.Sensors (Basel, Switzerland) · 2021Article
- Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types.Microscopy research and technique · 2021Article
- Real-Time Diagnosis System of COVID-19 Using X-Ray Images and Deep Learning.IT professional · 2021Article
- Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons.IT professional · 2021Article
- More Is Not Enough: A Deeper Understanding of the COVID-19 Impacts on Healthcare, Energy and Environment Is Crucial.International journal of environmental research and public health · 2021Review
- Integration of Augmented Reality, Virtual Reality, and Extended Reality in Healthcare and Medical Education: A Glimpse into the Emerging Horizon in LMICs-A Systematic Review.Journal of medical education and curricular developmentReview
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In various fields, the internet of things (IoT) gains a lot of popularity due to its autonomous sensors operations with the least cost. In medical and healthcare applications, the IoT devices develop an ecosystem to sense the medical conditions of the patients' such as blood pressure, oxygen level, heartbeat, temperature, etc. and take appropriate actions on an emergency basis. Using it, the healthcare-related data of patients is transmitted towards the remote users and medical centers for post-analysis. Different solutions have been proposed using Wireless Body Area Network (WBAN) to monitor the medical status of the patients based on low powered biosensor nodes, however, preventing increased energy consumption and communication costs are demanding and interesting problems. The issue of unbalanced energy consumption between biosensor nodes degrades the timely delivery of the patient's information to remote centers and gives a negative impact on the medical system. Moreover, the sensitive data of the patient is transmitting over the insecure Internet and prone to vulnerable security threats. Therefore, data privacy and integrity from malicious traffic are another challenging research issue for medical applications. This research article aims to a proposed secure and energy-efficient framework using Internet of Medical Things (IoMT) for e-healthcare (SEF-IoMT), which primary objective is to decrease the communication overhead and energy consumption between biosensors while transmitting the healthcare data on a convenient manner, and the other hand, it also secures the medical data of the patients against unauthentic and malicious nodes to improve the network privacy and integrity. The simulated results exhibit that the proposed framework improves the performance of medical systems for network throughput by 18%, packets loss rate by 44%, end-to-end delay by 26%, energy consumption by 29%, and link breaches by 48% than other states of the art solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.