Refereed article in conference proceedings (A4)

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




List of Authors: Olli Lahdenoja, Tero Hurnanen, Juho Koskinen, Matti Kaisti, Kim Munck, Samuel Emil Schmidt, Tero Koivisto, Mikko Pänkäälä

Conference name: Computing in Cardiology

Publication year: 2019

Journal: Computing in Cardiology

Book title *: CinC Proceedings

Title of series: Computing in Cardiology

ISSN: 2325-8861

URL: http://www.cinc.org/archives/2019/

Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/42555504


Abstract

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).


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Last updated on 2022-07-04 at 17:30