A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography
A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography
About this item
Full title
Author / Creator
Yu, Shuai and Liu, Sheng
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
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 35 years. We recorded the SCG signal and the stan...
Alternative Titles
Full title
A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6c6fb3ca2d0e4d5c8156958eab46696b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c6fb3ca2d0e4d5c8156958eab46696b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20061596
