Evidence map›Paper›PMID 34545301›Full record

ArticleJournal of healthcare engineering2021

Wavelet Transform Image Enhancement Algorithm-Based Evaluation of Lung Recruitment Effect and Nursing of Acute Respiratory Distress Syndrome by Ultrasound Image.

Wangyan Jin, Ling Dai, Liuyan Ge, Xuhua Huang, Guanhua Xu, Chunhong Qu, Jianfei Sun

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Wangyan JinDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0001-5834-9596
Ling DaiDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0002-4378-8964
Liuyan GeDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0003-2356-7037
Xuhua HuangDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0002-3563-5108
Guanhua XuDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0003-2898-4614
Chunhong QuDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0002-6790-1781
Jianfei SunDepartment of Critical Medicine, The First People's Hospital of Xiaoshan District, Hangzhou 311201, Zhejiang, China.ORCID 0000-0001-7026-8211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the application of ultrasound images of lung recruitment (LR) nursing treatment guided by positive-end expiratory pressure (PEEP) in patients with acute respiratory distress syndrome (ARDS). An ultrasound image enhancement algorithm (UIEA) wavelet transform (WT) was constructed, and the soft threshold (ST) and adjacent region average (ARA) were introduced for simulation comparison. In addition, the signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), and running time were undertaken as the evaluation indexes. The WT algorithm was applied to the ultrasound images of 85 ARDS patients before and after PEEP recruitment. The mean artery pressure (MAP), heart rate (HR), and central venous pressure (CVP), peak inspiratory pressure (Ppeak), mean inspiratory pressure (Pmean), dynamic lung compliance (DLC), PCO

Indexed as

Respiratory Distress SyndromeWavelet AnalysisAlgorithmsHumansImage EnhancementLung

Identifiers

PMID34545301
PMCPMC8449728

What OpenQuestion holds

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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.