Publication:
Unveiling the temporal and spectral relationships between seismocardiogram signals, systolic time intervals and thorax characteristics

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorGürsoy, Beren Semiz
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2025-01-19T10:32:33Z
dc.date.issued2023
dc.description.abstractInvestigating the systolic time intervals (STIs) can provide information regarding cardiovascular health and autonomic nervous system. Among these STIs, the pre-ejection period (PEP) and left ventricular ejection time (LVET) have been found to be closely related to the ventricular failure and many other indicators. Recently, it has been shown that the seismocardiogram (SCG) signal can be used to derive hemodynamic parameters; thus, can be leveraged in the design of cardiovascular monitoring systems. Accordingly, in this work, (i) SCG-based PEP and LVET regression models leveraging both temporal and spectral analysis have been developed, (ii) the most distinctive features in STI estimation have been determined, and (iii) the relationship between the thorax impedance values and SCG-derived features has been investigated to quantity inter-subject variability. Overall, PEP and LVET could be estimated with low RMSE (7.436 and 11.022 ms, respectively) using extreme gradient boosting trees. Moreover, it was deduced that the thorax impedance characteristics indeed have high correlation with the SCG features, specifically in the 40 - 100 Hz range. Overall, these findings can potentially allow more useful and informed SCG-based STI analysis by providing valuable insights regarding SCG and thorax characteristics. © 2023 IEEE.
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/BioSMART58455.2023.10162053
dc.identifier.isbn979-835033849-2
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85165455125
dc.identifier.urihttps://doi.org/10.1109/BioSMART58455.2023.10162053
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26440
dc.keywordsBody impedance
dc.keywordsHemodynamic monitoring
dc.keywordsLeft ventricular ejection time
dc.keywordsPre-ejection period
dc.keywordsSeismocardiogram
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofBiosmart 2023 - Proceedings: 5th International Conference on Bio-Engineering for Smart Technologies
dc.subjectElectrical and electronics engineering
dc.titleUnveiling the temporal and spectral relationships between seismocardiogram signals, systolic time intervals and thorax characteristics
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorGürsoy, Beren Semiz
local.contributor.kuauthorKızır, Berke
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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