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Electrical impedance tomography (EIT) applications have been progressed in technology and applications, and EIT began to be used in multiple clinical and experimental scenarios including pulmonary, brain,tissues monitoring etc. This study explores the emerging trends and hot topics concerning applications on EIT in extrapulmonary applications by bibliometrics analysis. 443 research articles, reviews, letters, and proceeding papers etc. published from 1987 to 2021 in English were analyzed from a global perspective, covering global publications, cooperation between countries, and clustering of keywords. The global annual publications on extrapulmonary applications gradually increased slowly in the last 30 years, and USA, UK and China ranked as the top three prolific contributors in keywords of EIT extrapulmonary applications. "cutaneous melanoma","breast cancer detection","brain" were research hotspots. Overall, EIT extrapulmonary applications bibliometrics analysis gives us a unique insight to identify scientific advances, hot spots, research trends, and provide future directions of EIT in extrapulmonary applications. [ABSTRACT FROM AUTHOR]

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]