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An adaptive Kalman filter approach for cardiorespiratory signal extraction and fusion of non-contacting sensors
BACKGROUND: Extracting cardiorespiratory signals from non-invasive and non-contacting sensor arrangements, i.e. magnetic induction sensors, is a challenging task. The respiratory and cardiac signals are mixed on top of a large and time-varying offset and are likely to be disturbed by measurement noi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029942/ https://www.ncbi.nlm.nih.gov/pubmed/24886253 http://dx.doi.org/10.1186/1472-6947-14-37 |