Evidence map›Paper›PMID 30248969›Full record

ReviewSensors (Basel, Switzerland)2018

Electromagnetic⁻Acoustic Sensing for Biomedical Applications.

Siyu Liu, Ruochong Zhang, Zesheng Zheng, Yuanjin Zheng

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. 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
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Electromagnetic Medical Sensing.Sensors (Basel, Switzerland) · 2019
    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

4 authors at 1 institution in 1 country.

Siyu LiuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. sliu023@e.ntu.edu.sg.ORCID 0000-0002-1370-3210
Ruochong ZhangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. rzhang009@e.ntu.edu.sg.
Zesheng ZhengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. ZESHENG001@e.ntu.edu.sg.
Yuanjin ZhengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. yjzheng@ntu.edu.sg.
Nanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reviews the theories and applications of electromagnetic⁻acoustic (EMA) techniques (covering light-induced photoacoustic, microwave-induced thermoacoustic, magnetic-modulated thermoacoustic, and X-ray-induced thermoacoustic) belonging to the more general area of electromagnetic (EM) hybrid techniques. The theories cover excitation of high-power EM field (laser, microwave, magnetic field, and X-ray) and subsequent acoustic wave generation. The applications of EMA methods include structural imaging, blood flowmetry, thermometry, dosimetry for radiation therapy, hemoglobin oxygen saturation (SO₂) sensing, fingerprint imaging and sensing, glucose sensing, pH sensing, etc. Several other EM-related acoustic methods, including magnetoacoustic, magnetomotive ultrasound, and magnetomotive photoacoustic are also described. It is believed that EMA has great potential in both pre-clinical research and medical practice.

Indexed as

AcousticsElectromagnetic PhenomenaBiomedical ResearchClinical MedicineHumansLasersMagneticsMicrowavesUltrasonographyX-Raysbiomedical sensingelectromagnetic-acousticsphotoacousticthermoacoustic

Identifiers

PMID30248969
PMCPMC6210000
OpenAlexW2891663113

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.