Analysing Ballistocardiography for Pervasive Healthcare

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHytönen, Ronien_US
dc.contributor.authorTshala, Alisonen_US
dc.contributor.authorSchreier, Janen_US
dc.contributor.authorHolopainen, Melissaen_US
dc.contributor.authorForsman, Aadaen_US
dc.contributor.authorOksanen, Minnaen_US
dc.contributor.authorFindling, Rainharden_US
dc.contributor.authorJähne-Raden, Nicoen_US
dc.contributor.authorNguyen, Leen_US
dc.contributor.authorSigg, Stephanen_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorAmbient Intelligenceen
dc.contributor.organizationDepartment of Neuroscience and Biomedical Engineeringen_US
dc.contributor.organizationAalto Universityen_US
dc.contributor.organizationDepartment of Computer Scienceen_US
dc.contributor.organizationHannover Medical Schoolen_US
dc.date.accessioned2021-05-12T06:34:11Z
dc.date.available2021-05-12T06:34:11Z
dc.date.issued2021-04en_US
dc.description.abstractWe describe a methodology to measure ballistocardiography (BCG) signals from the body surface, using body-worn digital accelerometers to extract medically relevant information for Pervasive Healthcare. We are able to measure measuring heart rate with an 95% accuracy as well as other cardiac metrics, such as the S1-S2 interval, deviating from ECG by only 1.3%. Our results show that BCG can be a viable alternative to an electrocardiogram to provide complementary information on the heart’s condition in mobile and pervasive use cases. We further show that BCG information can be detected from arm as reliably as from chest, which is especially convenient for measuring from supine positions in Pervasive healthcare applications.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHytönen, R, Tshala, A, Schreier, J, Holopainen, M, Forsman, A, Oksanen, M, Findling, R, Jähne-Raden, N, Nguyen, L & Sigg, S 2021, Analysing Ballistocardiography for Pervasive Healthcare. in Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)., 9394218, IEEE, pp. 86-91, International Conference on Mobility, Sensing and Networking, Tokyo, Japan, 17/12/2020. https://doi.org/10.1109/MSN50589.2020.00029en
dc.identifier.doi10.1109/MSN50589.2020.00029en_US
dc.identifier.isbn978-1-7281-9916-0
dc.identifier.otherPURE UUID: 0b9c1bac-c05a-4542-8730-7c53f0d5659een_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/0b9c1bac-c05a-4542-8730-7c53f0d5659een_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85104646568&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/61183524/Analysing_Ballistocardiography_for_Pervasive_Healthcare.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/107383
dc.identifier.urnURN:NBN:fi:aalto-202105126647
dc.language.isoenen
dc.relation.ispartofInternational Conference on Mobility, Sensing and Networkingen
dc.relation.ispartofseriesProceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)en
dc.relation.ispartofseriespp. 86-91en
dc.rightsopenAccessen
dc.subject.keywordBallistocardiographyen_US
dc.subject.keywordPervasive Healthcareen_US
dc.titleAnalysing Ballistocardiography for Pervasive Healthcareen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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