Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106894
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorLiu, Yen_US
dc.creatorXu, Wen_US
dc.creatorYu, Cen_US
dc.date.accessioned2024-06-07T00:58:42Z-
dc.date.available2024-06-07T00:58:42Z-
dc.identifier.isbn978-1-5106-3909-6en_US
dc.identifier.isbn978-1-5106-3910-2 (electronic)en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/106894-
dc.descriptionSPIE/COS Photonics Asia, Optoelectronic Devices and Integration IX, 11-16 October 2020, Online Only, Chinaen_US
dc.language.isoenen_US
dc.publisherSPIE - International Society for Optical Engineeringen_US
dc.rights© 2020 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.en_US
dc.rightsThe following publication Yifan Liu, Wei Xu, and Changyuan Yu "BCG signal processing based on advanced LMS filter for optical fiber monitor", Proc. SPIE 11547, Optoelectronic Devices and Integration IX, 115471P (10 October 2020); https://doi.org/10.1117/12.2575310 is available at https://doi.org/10.1117/12.2575310.en_US
dc.subjectBCGen_US
dc.subjectHeart Rate Variabilityen_US
dc.subjectLMS adaptive filteren_US
dc.titleBCG signal processing based on advanced LMS filter for optical fiber monitoren_US
dc.typeConference Paperen_US
dc.identifier.volume11547en_US
dc.identifier.doi10.1117/12.2575310en_US
dcterms.abstractHeart Rate Variability (HRV) analysis is an important tool for health monitoring. A non-invasive smart health monitoring system based on optical fiber interferometer can get HRV information from the Ballistocardiogram (BCG) signal. For some patients, the HRV can hardly be calculated due to the interferences from breath and other vibrations. In this research, we obtain a stable and high-sensitive BCG signal by a Mach-Zehnder interferometer (MZI) based sensor. In order to reduce the noise in signal, we introduce an advanced least mean squares (LMS) adaptive filter into the procedure. We use the signal processed by a bandpass filter as the ‘desired signal’ to deal with the raw data and obtain a preferable output for HRV calculation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of SPIE : the International Society for Optical Engineering, 2020, v. 11547, 115471Pen_US
dcterms.isPartOfProceedings of SPIE : the International Society for Optical Engineeringen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85096591280-
dc.identifier.eissn1996-756Xen_US
dc.identifier.artn115471Pen_US
dc.description.validate202405 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberEIE-0148-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHK PolyUen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS55103517-
dc.description.oaCategoryVoR alloweden_US
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