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A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography

This paper presents a novel adaptive recursive least squares filter (ARLSF) for motion artifact removal in the field of seismocardiography (SCG). This algorithm was tested with a consumer-grade accelerometer. This accelerometer was placed on the chest wall of 16 subjects whose ages ranged from 24 to...

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Библиографические подробности
Опубликовано в: :Sensors (Basel)
Главные авторы: Yu, Shuai, Liu, Sheng
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI 2020
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7146394/
https://ncbi.nlm.nih.gov/pubmed/32182977
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20061596
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