Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms

Son, Y; Lee, SB; Kim, H; Song, ES; Huh, H; Czosnyka, Marek; Kim, DJ

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Authors

Son, Y

Lee, SB

Kim, H

Song, ES

Huh, H

Czosnyka, Marek

Kim, DJ

Publication Date

2018-08

Journal Title

Information Sciences

ISSN

0020-0255

Publisher

Elsevier BV

Volume

456

Pages

145-158

Type

Article

This Version

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Citation

Son, Y., Lee, S., Kim, H., Song, E., Huh, H., Czosnyka, M., & Kim, D. (2018). Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms. Information Sciences, 456 145-158. https://doi.org/10.1016/j.ins.2018.05.018

Identifiers

External DOI: https://doi.org/10.1016/j.ins.2018.05.018

This record's URL: https://www.repository.cam.ac.uk/handle/1810/286943

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http://www.rioxx.net/licenses/all-rights-reserved

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