Evidence map›Paper›PMID 36904721›Full record

ReviewSensors (Basel, Switzerland)2023

5G Technology in Healthcare and Wearable Devices: A Review.

Delshi Howsalya Devi, Kumutha Duraisamy, Ammar Armghan, Meshari Alsharari, Khaled Aliqab, Vishal Sorathiya, Sudipta Das, Nasr Rashid

Full text readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. [Development of flexible multi-phase barium titanate piezoelectric sensor for physiological health and action behavior monitoring].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Delshi Howsalya DeviDepartment of AI & DS, Karpaga Vinayaga College of Engineering and Technology, Chengalpattu 603308, Tamil Nadu, India.
Kumutha DuraisamyDepartment of Biomedical Engineering, Karpaga Vinayaga College of Engineering and Technology, Chengalpattu 603308, Tamil Nadu, India.ORCID 0000-0002-7691-5579
Ammar ArmghanDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-9062-7493
Meshari AlsharariDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-7989-3360
Khaled AliqabDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-6507-206X
Vishal SorathiyaFaculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Waghodia Road, Vadodara 391760, Gujarat, India.ORCID 0000-0002-6121-5940
Sudipta DasDepartment of Electronics and Communication Engineering, IMPS College of Engineering and Technology, Malda 732103, West Bengal, India.ORCID 0000-0003-4555-7438
Nasr RashidDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0003-4725-2072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices with 5G technology are currently more ingrained in our daily lives, and they will now be a part of our bodies too. The requirement for personal health monitoring and preventive disease is increasing due to the predictable dramatic increase in the number of aging people. Technologies with 5G in wearables and healthcare can intensely reduce the cost of diagnosing and preventing diseases and saving patient lives. This paper reviewed the benefits of 5G technologies, which are implemented in healthcare and wearable devices such as patient health monitoring using 5G, continuous monitoring of chronic diseases using 5G, management of preventing infectious diseases using 5G, robotic surgery using 5G, and 5G with future of wearables. It has the potential to have a direct effect on clinical decision making. This technology could improve patient rehabilitation outside of hospitals and monitor human physical activity continuously. This paper draws the conclusion that the widespread adoption of 5G technology by healthcare systems enables sick people to access specialists who would be unavailable and receive correct care more conveniently.

Indexed as

Delivery of Health CareWearable Electronic DevicesHospitalsHumansMonitoring, PhysiologicTechnology5Gchronic diseasehealthcarehealth monitoringIoMTIoTrobotic surgerytelemedicinewearable devices

Identifiers

PMID36904721
PMCPMC10007389

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read164
Read underepoch 390

Registered trials

None linked

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.