Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

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Bibliographic Details
Title: Estimating Systolic Blood Pressure Using Convolutional Neural Networks.
Authors: Rastegar S; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Gholamhosseini H; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Lowe A; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Mehdipour F; Otago Polytechnic, Auckland, New Zealand., Lindén M; School of Innovation, Design, and Engineering, Mälardalen University, Västerås, Sweden.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2019; Vol. 261, pp. 143-149.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Database: MEDLINE Ultimate
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