Data analysis of non-invasive ballistocardiographic sensors
- Unintrusive health monitoring systems is important when continuous monitoring of the patient vital signals is required. In this paper, signals obtained from accelerometers placed under a bed are processed with ballistocardiography algorithms and compared with synchronized electrocardiographic signals.
Author of HS Reutlingen | Martínez Madrid, Natividad |
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URL: | http://www.dii.univpm.it/MAES-2023 |
ISBN: | 978-88-87548-00-6 |
Erschienen in: | Models and applications for embedded systems |
Publisher: | Università Politecnica delle Marche |
Place of publication: | Ancona |
Editor: | Massimo Conti, Simone Orcioni |
Document Type: | Book chapter |
Language: | English |
Publication year: | 2024 |
Page Number: | 7 |
First Page: | 31 |
Last Page: | 37 |
DDC classes: | 610 Medizin, Gesundheit |
Open access?: | Nein |
Licence (German): | ![]() |