Evidence map›Paper›PMID 34219793›Full record

ArticleElectronics letters2021

Intelligent anti-epidemic mask based on KF and ECF fusion algorithm.

Kun Xia, Xiang Li, Xueyong Li, Yiren Liu, Hongwei Zhang, Ruifeng Hou

Abstract read
In one paragraph

Article in Electronics letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Kun XiaDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.
Xiang LiDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.
Xueyong LiDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.
Yiren LiuDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.
Hongwei ZhangDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.
Ruifeng HouDepartment of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to environmental pollution and the spread of Coronavirus Disease 2019 (COVID-19), this paper proposes a new type of smart mask design, and specifically proposes an optimized double closed-loop control method, especially an improved filtering fusion algorithm. Using the filtering fusion algorithm proposed in this paper, after the Kalman filter (KF) filters the raw data of the attitude sensor, explicit complementary filtering and data fusion are used to obtain the attitude angle of the body. At the same time, the obtained attitude angle is combined with acceleration and blood oxygen concentration to obtain the behaviour characteristic value. On this basis, the speed of the oxygen supply fan captured by the photoelectric sensor is used to form a closed loop with the characteristic value of the behaviour. Finally, the structure of the mask is upgraded and optimized through fluid mechanics simulation, and experiments have verified that the combination of the replaceable filter cloth, the intelligent control system and the ultraviolet disinfection device can effectively protect people's health.

Identifiers

PMID34219793
PMCPMC8239796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.