Evidence map›Paper›PMID 37177569›Full record

ReviewSensors (Basel, Switzerland)2023

Microwave Devices for Wearable Sensors and IoT.

Alessandra Costanzo, Elisa Augello, Giulia Battistini, Francesca Benassi, Diego Masotti, Giacomo Paolini

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Paper-Based Sensors: Fantasy or Reality?Nanomaterials (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Alessandra CostanzoDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.
Elisa AugelloDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.
Giulia BattistiniDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.
Francesca BenassiDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-5870-0355
Diego MasottiDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.ORCID 0000-0001-5340-2781
Giacomo PaoliniDepartment of Electrical, Electronic, and Information Engineering (DEI) "G. Marconi", Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-5001-2689

Funding

Ministry of Education, Universities and Research 2017YJE9XK
6 · The paper itself

Abstract

The Internet of Things (IoT) paradigm is currently highly demanded in multiple scenarios and in particular plays an important role in solving medical-related challenges. RF and microwave technologies, coupled with wireless energy transfer, are interesting candidates because of their inherent contactless spectrometric capabilities and for the wireless transmission of sensing data. This article reviews some recent achievements in the field of wearable sensors, highlighting the benefits that these solutions introduce in operative contexts, such as indoor localization and microwave sensing. Wireless power transfer is an essential requirement to be fulfilled to allow these sensors to be not only wearable but also compact and lightweight while avoiding bulky batteries. Flexible materials and 3D printing polymers, as well as daily garments, are widely exploited within the presented solutions, allowing comfort and wearability without renouncing the robustness and reliability of the built-in wearable sensor.

Indexed as

3D printinge-Healthelectronicsenergy harvestingfall detectionIoTlocalizationmicrofluidicssensorswearablewireless power transfer

Identifiers

PMID37177569
PMCPMC10181738

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.