Evidence map›Paper›PMID 37374763›Full record

ArticleMicromachines2023

Humidity-Sensing Mattress for Long-Term Bedridden Patients with Incontinence-Associated Dermatitis.

Jinpitcha Mamom, Phadungsak Ratanadecho, Chatchai Mingmalairak, Bunyong Rungroungdouyboon

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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.

Jinpitcha MamomDepartment of Adult Nursing and the Aged, Faculty of Nursing, Thammasat University, Pathum Thani 12121, Thailand.ORCID 0000-0003-1749-3326
Phadungsak RatanadechoCenter of Excellence in Electromagnetic Energy Utilization in Engineering, Department of Mechanical Engineering, Faculty of Engineering, Thammasat University, Pathum Thani 12120, Thailand.
Chatchai MingmalairakDepartment of Surgery, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand.
Bunyong RungroungdouyboonCenter of Excellence in Creative Engineering Design and Development, Faculty of Engineering, Thammasat University, Pathum Thani 12121, Thailand.
Thammasat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing new medical devices with advanced humidity sensors is of great significance for patients with incontinence-associated dermatitis (IAD). The primary goal of this study is to test the humidity-sensing mattress system for patients with IAD in clinical settings. The design of the mattress is set at 203 cm, with 10 × 3 sensors, dimensions of 19 × 32 cm, and a weighted bearing of 200 kg. The main sensors consist of a humidity-sensing film, a thin-film electrode (6 × 0.1 mm), and a glass substrate (500 nm). The sensitivity of the test mattress system showed that the resistance-humidity sensor was at a temperature of 35 °C (V0 = 30 V, V0 = 350 mV), with slope at 1.13 V/fF, f = 1 MHz, 20-90% RH, and a response time of 20 s at 2 μm. In addition, the humidity sensor reached 90% RH, with a response time of less than 10 s, a magnitude of 107-104 Ω, 1 mol%, CrO1.5, and FO1.5, respectively. This design is not only a simple, low-cost medical sensing device, but also opens a new pathway for developing humidity-sensing mattresses in the field of flexible sensors, wearable medical diagnostic devices, and health detection.

Indexed as

bedridden patientshumidity sensorsincontinence-associated dermatitismattress design

Identifiers

PMID37374763
PMCPMC10302182
OpenAlexW4379052921

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.