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

• Main Authors: Schrumpf Fabian, Sturm Matthias, Bausch Gerold, Fuchs Mirco
• Format: Article
• Language: English
• Published: De Gruyter 2016-09-01
• Series: Current Directions in Biomedical Engineering
• Subjects: autocorrelation; ecg; respiration; respiratory rate
• Online Access: https://doi.org/10.1515/cdbme-2016-0054

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.