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In this paper, a novel approach to estimate the respiratory rate from ECG and PPG signalsis proposed. The respiration signal is extracted from both signals using the continuous wavelettransform and the rate is estimated in time as well as frequency domain. Subsequent fusion of differentapproaches provides the result more robust. Designed algorithm predicts the breathing frequencywith the mean absolute error of 0.96 breaths per minute.