Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117087
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineering-
dc.contributorPhotonics Research Institute-
dc.creatorLi, Y-
dc.creatorXu, P-
dc.creatorLiu, Z-
dc.creatorLyu, W-
dc.creatorYu, C-
dc.date.accessioned2026-02-02T07:49:03Z-
dc.date.available2026-02-02T07:49:03Z-
dc.identifier.issn0733-8724-
dc.identifier.urihttp://hdl.handle.net/10397/117087-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Y. Li, P. Xu, Z. Liu, W. Lyu and C. Yu, 'Non-Contact Optical Respiratory Rate and Heart Rate Monitoring Sensor Based on the Six-Hole High Birefringence Fiber,' in Journal of Lightwave Technology, vol. 43, no. 20, pp. 9716-9723, 15 Oct. 2025 is available at https://doi.org/10.1109/JLT.2025.3603882.en_US
dc.subjectBirefringence fiberen_US
dc.subjectCardiac premature beaten_US
dc.subjectHeart rateen_US
dc.subjectNon-invasiveen_US
dc.subjectRespiratory rateen_US
dc.subjectSagnac interferenceen_US
dc.titleNon-contact optical respiratory rate and heart rate monitoring sensor based on the six-hole high birefringence fiberen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage9716-
dc.identifier.epage9723-
dc.identifier.volume43-
dc.identifier.issue20-
dc.identifier.doi10.1109/JLT.2025.3603882-
dcterms.abstractIn this paper, an optical respiratory and heart rate non-invasive monitoring sensor is set up and proven to work well. The core part of this sensor is an optical fiber Sagnac interferometer (SI), built up by a 3 dB coupler and a section of homemade Six Holes High Birefringence Fiber (SH-HiBiF). Because of the circular asymmetric structure in the fiber, the wavelength-domain spectroscopy of the SI will shift linearly with the lateral stress changes with a sensitivity of 1.72 nm/kPa. Thus, if a single-wavelength laser is injected into the fiber, the respiratory and heart rate signals can modulate the light intensity and finally be demodulated by a photoelectric detector (PD). The heartbeat signals acquired by the proposed sensor demonstrate a high consistency (up to 95%) with those obtained from conventional electrical sensors, as validated by Bland-Altman analysis. Furthermore, the proposed monitoring sensor can help confirm the diagnosis of premature atrial contraction (PAC) even if it is not in contact with the human body, which is more comfortable for the patients. The temperature cross-sensitivity of this monitoring sensor is relatively low because the raw material of the sensing part is pure fused silica. Performed experiments demonstrate the sensor's feasibility in further research in the biomedical field.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of lightwave technology, 15 Oct. 2025, v. 43, no. 20, p. 9716-9723-
dcterms.isPartOfJournal of lightwave technology-
dcterms.issued2025-10-15-
dc.identifier.scopus2-s2.0-105014607038-
dc.identifier.eissn1558-2213-
dc.description.validate202602 bcjz-
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG000785/2025-10en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by Ultrafast and Ultrahigh-Resolution Optical Spectrum Response Measurement Based on Linear Frequency Modulation under Grant HK RGC GRF 15209321 B-Q85G and in part by the Non-Wearable Non-Invasive Photonic Smart Health Monitoring System for Atrial Fibrillation Diagnosis Based on Optical Fiber Sensor with Machine Learning under Grant HKPU 1-CD8N.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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