Evidence map›Paper›PMID 40846744›Full record

ArticleScientific reports2025

Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems.

Umar Musa, Amor Smida, Muhammad S Yahya, Mohamed I Waly, Jun Jiat Tiang, Nazih Khaddaj Mallat, Surajo Muhammad, Abubakar Salisu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Umar MusaDepartment of Electrical Engineering, Bayero University Kano, Kano, 700006, Nigeria. umusa.ele@buk.edu.ng.
Amor SmidaDepartment of Medical Equipment Technology, Majmaah University, 11952, Al-Majmaah, Saudi Arabia. a.smida@mu.edu.sa.
Muhammad S YahyaDepartment of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Malaysia.
Mohamed I WalyDepartment of Medical Equipment Technology, Majmaah University, 11952, Al-Majmaah, Saudi Arabia.
Jun Jiat TiangFaculty of Artificial Intelligence and Engineering, Centre for Wireless Technology, Multimedia University, Cyberjaya, Malaysia. jjtiang@mmu.edu.my.
Nazih Khaddaj MallatCollege of Engineering, Al Ain University, 64141, Al Ain, United Arab Emirates.
Surajo MuhammadCenter for Intelligent Network (TM R&D), TM Innovation Centre, Sdn Bhd, Multimedia University, Cyberjaya, Malaysia.
Abubakar SalisuDepartment of Biomedical and Electronics Engineering, University of Bradford, Bradford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a machine learning (ML)-optimized dual-band wearable antenna designed specifically for biomedical applications in healthcare monitoring. Fabricated on a Rogers substrate of 40 × 41 mm

Indexed as

Internet of ThingsMachine LearningWearable Electronic DevicesHumansMonitoring, PhysiologicRemote Patient MonitoringWireless TechnologyDual-bandHealthcare monitoringMachine learningOptimizationPatch antennaSAR

Identifiers

PMID40846744
PMCPMC12373866

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.