Evidence map›Paper›PMID 36850956›Full record

ArticleSensors (Basel, Switzerland)2023

A Fiber-Optic Non-Invasive Swallowing Assessment Device Based on a Wearable Pressure Sensor.

Masanori Maeda, Miyuki Kadokura, Ryoko Aoki, Noriko Komatsu, Masaru Kawakami, Yuya Koyama, Kazuhiro Watanabe, Michiko Nishiyama

Open access · goldAbstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

8 authors at 3 institutions in 1 country.

Masanori MaedaInformation Systems Science Major, Graduate of Science and Engineering, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.
Miyuki KadokuraInformation Systems Science Major, Graduate of Science and Engineering, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.ORCID 0000-0001-8856-6807
Ryoko AokiFaculty of Nursing, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.
Noriko KomatsuFaculty of Nursing, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.
Masaru KawakamiSchool of Nursing, Jichi Medical University, 3311-159 Yakushiji, Shimotsuke, Tochigi 329-0431, Japan.
Yuya KoyamaDepartment of Electrical and Electronic Engineering, Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino, Chiba 275-0016, Japan.
Kazuhiro WatanabeDepartment of Science and Engineering for Sustainable Innovation, Faculty of Science and Engineering, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.
Michiko NishiyamaDepartment of Science and Engineering for Sustainable Innovation, Faculty of Science and Engineering, Soka University, 1-236 Tangi-Machi, Hachioji, Tokyo 192-8577, Japan.
Soka University · JPChiba Institute of Technology · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a wearable swallowing assessment device using a hetero-core fiber-optic pressure sensor for the detection of laryngeal movement during swallowing. The proposed pressure sensor (comfortably attached to the skin of the neck) demonstrated a high sensitivity of 0.592 dB/kPa and a linearity of R

Indexed as

DeglutitionFiber Optic TechnologyAdultAgingEnvironmentEyeFemaleHumansMaleMiddle Ageddysphagiahealth monitoringhetero-core fiber-optic sensornon-invasive systemswallowing function testwearable

Identifiers

PMID36850956
PMCPMC9963261
OpenAlexW4321458553

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.