Machine Learning for Contactless Low-Cost Vital Signs Monitoring Systems

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Metadaten
Author:Frederico Lima, Almothana Albukhari, Ulrich MeschederORCiDGND
URL:https://arxiv.org/abs/1903.08495#
ISBN:978-3-9820756-0-0
Parent Title (English):Artificial Intelligence: From Research to Application: The Upper-Rhine Artificial Intelligence Symposium UR-AI 2019, March 13th, 2019, Offenburg, Germany
Publisher:Hochschule Karlsruhe - Technik und Wirtschaft
Place of publication:Karlsruhe
Document Type:Conference Proceeding
Opac ID:Im Katalog der Hochschule Furtwangen ansehen
Language:English
Year of Completion:2019
Release Date:2019/04/25
Tag:Ballistocardiopraphy; Cardiac measurements; Contactless sensors; Low-cost sensors; Machine learning
First Page:95
Last Page:99
Open Access:Frei verf├╝gbar
Licence (German):License LogoEs gilt das UrhG