Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives

Bin Hu; Lixian Zhu; Qunxi Dong; Kun Qian; Hanshu Cai; Fuze Tian

doi:10.1109/TCSS.2024.3350958

Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives

Bin Hu
, Lixian Zhu
, Qunxi Dong
, Kun Qian
, Hanshu Cai
, Fuze Tian

School of Medical Technology

Research output: Contribution to journal › Review article › peer-review

16 Citations (Scopus)

Abstract

With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 stands as a hallmark of academic excellence and prolific output, wherein our journal has successfully disseminated a substantial volume of scholarly work - 301 articles encompassing approximately 3600 pages, distributed across six distinct issues.

Original language	English
Pages (from-to)	5-24
Number of pages	20
Journal	IEEE Transactions on Computational Social Systems
Volume	11
Issue number	1
DOIs	https://doi.org/10.1109/TCSS.2024.3350958
Publication status	Published - 1 Feb 2024

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10.1109/TCSS.2024.3350958

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AU - Cai, Hanshu

AU - Tian, Fuze

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Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives

Abstract

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