derivation of the respiratory rate from directly and indirectly measured respiratory signals using autocorrelation

Clicks: 284
ID: 191819
2016
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Abstract
The estimation of respiratory rates from contineous respiratory signals is commonly done using either fourier transformation or the zero-crossing method. This paper introduces another method which is based on the autocorrelation function of the respiratory signal. The respiratory signals can be measured either directly using a flow sensor or chest strap or indirectly on the basis of the electrocardiogram (ECG). We compare our method against other established methods on the basis of real-world ECG signals and use a respiration-based breathing frequency as a reference. Our method achieved the best agreement between respiration rates derived from directly and indirectly measured respiratory signals.
Reference Key
fabian2016currentderivation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Schrumpf Fabian;Sturm Matthias;Bausch Gerold;Fuchs Mirco
Journal materials science and engineering c
Year 2016
DOI
10.1515/cdbme-2016-0054
URL
http://www.degruyter.com/view/j/cdbme.2016.2.issue-1/cdbme-2016-0054/cdbme-2016-0054.xml?format=INT
Keywords
ecg respiration autocorrelation

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