ReviewSensors (Basel, Switzerland)2020
Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Spurious-Mode Suppression in ScMicromachines · 2026Article
- Enhancement of Quality Factors in a 6.5 GHz Resonator Using Mo/SiC Composite Microstructures.Micromachines · 2025Article
- Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR.Scientific reports · 2025Article
- Design, Calibration and Morphological Characterization of a Flexible Sensor with Adjustable Chemical Sensitivity and Possible Applications to Sports Medicine.Sensors (Basel, Switzerland) · 2024Article
- Improving the latency for 5G/B5G based smart healthcare connectivity in rural area.Scientific reports · 2024Article
- Flame-Retardant GF-PSB/DOPO-POSS Composite with Low Dk/Df and High Thermal Stability for High-Frequency Copper Clad Applications.Polymers · 2024Article
- Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review.Global challenges (Hoboken, NJ) · 2024Review
- Review
- Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques.Scientific reports · 2023Article
- A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach.Sensors (Basel, Switzerland) · 2023Article
- Towards a Secure Technology-Driven Architecture for Smart Health Insurance Systems: An Empirical Study.Healthcare (Basel, Switzerland) · 2023Article
- Current status and future prospects of stomatology research.Journal of Zhejiang University. Science. B · 2023Article
- QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions.IEEE sensors journal · 2023Article
- Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty.International journal of environmental research and public health · 2022Review
- Impact of IoT on Achieving Smart Primary Healthcare Building Facilities in Gauteng, South Africa.International journal of environmental research and public health · 2022Article
- MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional Signals.Sensors (Basel, Switzerland) · 2022Article
- Emergency Telemedicine Mobile Ultrasounds Using a 5G-Enabled Application: Development and Usability Study.JMIR formative research · 2022Article
- Optimized Super-Wideband MIMO Antenna with High Isolation for IoT Applications.Micromachines · 2022Article
- The Social Acceptance of Smart Health Services in Japan.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications. These technologies are crucial for the evolution of future smart health-care services. With the growth in the health-care industry, several applications are expected to produce a massive amount of data in different format and size. Such immense and diverse data needs special treatment concerning the end-to-end delay, bandwidth, latency and other attributes. It is difficult for current communication technologies to fulfil the requirements of highly dynamic and time-sensitive health care applications of the future. Therefore, the 5G networks are being designed and developed to tackle the diverse communication needs of health-care applications in Internet of Things (IoT). 5G assisted smart health-care networks are an amalgamation of IoT devices that require improved network performance and enhanced cellular coverage. Current connectivity solutions for IoT face challenges, such as the support for a massive number of devices, standardisation, energy-efficiency, device density, and security. In this paper, we present a comprehensive review of 5G assisted smart health-care solutions in IoT. We present a structure for smart health-care in 5G by categorizing and classifying existing literature. We also present key requirements for successful deployment of smart health-care systems for certain scenarios in 5G. Finally, we discuss several open issues and research challenges in 5G smart health-care solutions in IoT.
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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.