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