Evidence map›Paper›PMID 37336931›Full record

ArticleScientific reports2023

Circularly polarized differential intra-oral antenna design validation and characterization for tongue drive system.

Sarita Ahlawat, Binod Kumar Kanaujia, Karumudi Rambabu, Ildiko Peter, Ladislau Matekovits

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.8field-weighted citation impact, top 33% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

5 authors at 4 institutions in 4 countries.

Sarita AhlawatSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Binod Kumar KanaujiaSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Karumudi RambabuDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Ildiko PeterDepartment of Industrial Engineering and Management, Faculty of Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540139, Târgu-Mureş, Romania. ildiko.peter@umfst.ro.
Ladislau MatekovitsDepartment of Electronics and Telecommunications, Politecnico di Torino, 10129, Turin, Italy.
Jawaharlal Nehru University · INNational Research Council · ITUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · ROUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assistive devices are becoming increasingly popular for physically disabled persons suffering tetraplegia and spinal cord injuries. Intraoral tongue drive system (iTDS) is one of the most feasible and non-invasive assistive technology (AT), which utilises the transferring and inferring of user intentions through different tongue gestures. Wireless transferring is of prime importance and requires a suitable design of the intra-oral antenna. In this paper, a compact circularly polarized differential intra-oral antenna is designed, and its performance is analysed within heterogeneous multilayer mouth and head models. It works at 2.4 GHz in the Industrial, Scientific, and Medical (ISM) band. The footprint of the differential antenna prototype is 0.271 λ

Indexed as

Self-Help DevicesWireless TechnologyEquipment DesignSaline SolutionTongueSaline Solution

Identifiers

PMID37336931
PMCPMC10279701
OpenAlexW4381189938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.