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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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Auteurs principaux: Shuai Yu, Sheng Liu
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-03-01
Collection:Sensors
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Accès en ligne:https://www.mdpi.com/1424-8220/20/6/1596
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