A4 Refereed article in a conference publication

Heart rate variability estimation with joint accelerometer and gyroscope sensing




AuthorsOlli Lahdenoja, Tero Hurnanen, Mojtaba Jafari Tadi, Mikko Pänkäälä, Tero Koivisto

EditorsAlan Murray

Conference nameComputers in Cardiology (CinC)

Publication year2016

JournalComputing in Cardiology

Book title Computing in Cardiology Conference (CinC), 2016

Volume43

First page 717

Last page720

Number of pages4

ISBN978-1-5090-0896-4

eISBN978-1-5090-0895-7

ISSN2325-887X

DOIhttps://doi.org/10.22489/CinC.2016.209-166

Web address http://ieeexplore.ieee.org/document/7868843/

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/17391066


Abstract

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.


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