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A bibliometric analysis of the research on imaging algorithm of electrical impedance tomography.

Authors :
ShaoJie Qin
Zhe Li
Meng Dai
RunZhi Chen
Lin Yang
Zhanqi Zhao
Source :
International Journal of Bioelectromagnetism. 2022 Supplement, Vol. 24, p370-373. 4p.
Publication Year :
2022

Abstract

Medical electrical impedance tomography (EIT) reconstruction algorithms are approximately forty years old and are now being used to treat patients. At the same time, many advanced concepts are still active research areas, and literature regarding EIT algorithms has been presented in different professional journals and scientific conferences. Bibliometrics analysis method is used to assess the 30 years of scientific output and activity regarding EIT algorithm research from a global perspective, covering global publications, cooperation between countries, and clustering of keywords. 2467 research articles, reviews, letters, and proceeding papers published from 1987 to 2021 in English on EIT reconstruction algorithm were analyzed. Literature statistics show that the worldwide growth trend is rising, and global geographic distribution of publications in this field indicates that USA, South Korea, and China ranked as the top three prolific contributors in terms of EIT algorithm. "inverse problem" "regularization""electrode models" were research focus. Overall, EIT algorithms bibliometric research provides the current hotspots and future directions of algorithm research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14567857
Volume :
24
Database :
Academic Search Index
Journal :
International Journal of Bioelectromagnetism
Publication Type :
Academic Journal
Accession number :
159646061