Evidence map›Paper›PMID 32824481›Full record

ArticleSensors (Basel, Switzerland)2020

Flexible Textile-Based Pressure Sensing System Applied in the Operating Room for Pressure Injury Monitoring of Cardiac Operation Patients.

De-Fen Shih, Jyh-Liang Wang, Sou-Chih Chao, Yin-Fa Chen, Kuo-Sheng Liu, Yi-Shan Chiang, Chi Wang, Min-Yu Chang, Shu-Ling Yeh, Pao-Hsien Chu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 6 institutions in 1 country.

De-Fen ShiheBio Technology Inc., Xinzhuang, New Taipei City 242, Taiwan.
Jyh-Liang WangeBio Technology Inc., Xinzhuang, New Taipei City 242, Taiwan.
Sou-Chih ChaoeBio Technology Inc., Xinzhuang, New Taipei City 242, Taiwan.
Yin-Fa ChenInstitute of Electro-Optical Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Kuo-Sheng LiuDepartment of Cardiac Surgery, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Yi-Shan ChiangDepartment of Nursing, Linkou Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Chi WangDepartment of Nursing, Linkou Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Min-Yu ChangDepartment of Nursing, Linkou Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Shu-Ling YehDepartment of Nursing, Linkou Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Pao-Hsien ChuDepartment of Cardiology, Chang Gung Memorial Hospital, School of Medicine, Chang Gung University, 199 Tung Hwa North Road, Taipei 105, Taiwan.ORCID 0000-0003-0361-6348
Chao-Sung LaiDepartment of Electronic Engineering, Chang-Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-2069-7533
Der-Chi ShyeeBio Technology Inc., Xinzhuang, New Taipei City 242, Taiwan.
Lun-Hui HoDepartment of Nursing, Linkou Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Chia-Ming YangInstitute of Electro-Optical Engineering, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-6824-5296
Chang Gung University · TWMing Chi University of Technology · TWChang Gung University of Science and Technology · TWAsia Eastern University of Science and Technology · TWChang Gung Memorial Hospital · TWLinkou Chang Gung Memorial Hospital · TW

Funding

Chang Gung Memorial Hospital, Linkou CMRPG3G1631Ministry of Science and Technology, Taiwan MOST 109-2622-8-182-001-TS1
6 · The paper itself

Abstract

Pressure injury is the most important issue facing paralysis patients and the elderly, especially in long-term care or nursing. A new interfacial pressure sensing system combined with a flexible textile-based pressure sensor array and a real-time readout system improved by the Kalman filter is proposed to monitor interfacial pressure progress in the cardiac operation. With the design of the Kalman filter and parameter optimization, noise immunity can be improved by approximately 72%. Additionally, cardiac operation patients were selected to test this developed system for the direct correlation between pressure injury and interfacial pressure for the first time. The pressure progress of the operation time was recorded and presented with the visible data by time- and 2-dimension-dependent characteristics. In the data for 47 cardiac operation patients, an extreme body mass index (BMI) and significantly increased pressure after 2 h are the top 2 factors associated with the occurrence of pressure injury. This methodology can be used to prevent high interfacial pressure in high-risk patients before and during operation. It can be suggested that this system, integrated with air mattresses, can improve the quality of care and reduce the burden of the workforce and medical cost, especially for pressure injury.

Indexed as

Monitoring, PhysiologicOperating RoomsPressure UlcerAgedBedsFemaleHumansMaleTextilesThoracic Surgerycardiac operationflexible pressure sensorinterfacial pressureKalman filterpressure injury

Identifiers

PMID32824481
PMCPMC7472060
OpenAlexW3049280866

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.