A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Heart rate variability estimation with joint accelerometer and gyroscope sensing
Tekijät: Olli Lahdenoja, Tero Hurnanen, Mojtaba Jafari Tadi, Mikko Pänkäälä, Tero Koivisto
Toimittaja: Alan Murray
Konferenssin vakiintunut nimi: Computers in Cardiology (CinC)
Julkaisuvuosi: 2016
Journal: Computing in Cardiology
Kokoomateoksen nimi: Computing in Cardiology Conference (CinC), 2016
Vuosikerta: 43
Aloitussivu: 717
Lopetussivu: 720
Sivujen määrä: 4
ISBN: 978-1-5090-0896-4
eISBN: 978-1-5090-0895-7
ISSN: 2325-887X
DOI: https://doi.org/10.22489/CinC.2016.209-166
Verkko-osoite: http://ieeexplore.ieee.org/document/7868843/
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/17391066
This paper describes a method for estimation of heart rate (HR) and heart rate variability (HRV) with accelerometers and gyroscopes. We denote this joint seismocardiography (SCG) and gyrocardiography (GCG) approach as SCG/GCG. In principle, SCG which is a well known method measures the linear mechanical movements of the heart and GCG is a new technique which measures angular motion due to the chest micro-vibrations caused by myocardial rotation. As electrocardiography (ECG), they can also be performed in non-invasive manner using a device in contact to subjects skin, for example. Our method extracts HRV parameters based on single-axis and multi-axes autocorrelation analysis (1-AC and 6-AC) of all simultaneously captured SCG/GCG axes. The results of each axes are combined to maintain reliable HR- and HRV. We validate our results with a comparison study between simultaneous ECG and SCG/GCG recordings using a study group of 29 healthy male volunteers. The study provides a promising approach for HRV estimation with modern wearable devices.
Ladattava julkaisu This is an electronic reprint of the original article. |