Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers

dc.contributor.authorOlli Lahdenoja
dc.contributor.authorTero Hurnanen
dc.contributor.authorJuho Koskinen
dc.contributor.authorMatti Kaisti
dc.contributor.authorKim Munck
dc.contributor.authorSamuel Emil Schmidt
dc.contributor.authorTero Koivisto
dc.contributor.authorMikko Pänkäälä
dc.contributor.organizationfi=terveysteknologia|en=Health Technology|
dc.contributor.organization-code1.2.246.10.2458963.20.28696315432
dc.contributor.organization-code2610303
dc.converis.publication-id42555504
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/42555504
dc.date.accessioned2025-08-27T23:19:23Z
dc.date.available2025-08-27T23:19:23Z
dc.description.abstract<p>Previously, using single-axis accelerometers, it has been proposed that in conditions such as traumatic brain injury (TBI) the brain pulsation signal characteristics change, potentially due to changes induced by the impact to the brain. In this paper, we aim to validate the use of a custom built embedded measurement system towards the analysis of the head pulsation signals. The system comprises of several synchronized high sampling rate 3-axis accelerometers and a simultaneous chest ECG. In our case three accelerometers on the surface of human head are used (in left temple, forehead and right temple), while the subject were in supine position. To illustrate that a proper signal quality may be extracted, we derive heart rate (HR) and heart rate variability (HRV) from each sensor and each axis for each of five healthy male volunteers. The results are reported against ECG as the ground truth. This study will build ground for further clinical trial utilizing multi-axial accelerometers to study both healthy and diseased subjects (e.g. TBI patients).</p>
dc.identifier.issn2325-8861
dc.identifier.jour-issn2325-8861
dc.identifier.olddbid203804
dc.identifier.oldhandle10024/186831
dc.identifier.urihttps://www.utupub.fi/handle/11111/49345
dc.identifier.urlhttp://www.cinc.org/archives/2019/
dc.identifier.urnURN:NBN:fi-fe2021042823520
dc.language.isoen
dc.okm.affiliatedauthorLahdenoja, Olli
dc.okm.affiliatedauthorHurnanen, Tero
dc.okm.affiliatedauthorKoskinen, Juho
dc.okm.affiliatedauthorKaisti, Matti
dc.okm.affiliatedauthorKoivisto, Tero
dc.okm.affiliatedauthorPänkäälä, Mikko
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline217 Medical engineeringen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.discipline217 Lääketieteen tekniikkafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.conferenceComputing in Cardiology
dc.relation.ispartofjournalComputing in Cardiology
dc.relation.ispartofseriesComputing in Cardiology
dc.source.identifierhttps://www.utupub.fi/handle/10024/186831
dc.titleHead Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers
dc.title.bookCinC Proceedings
dc.year.issued2019

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