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Abstract

Method and apparatus for adapting the volumetric flow rate measurement system taught by Yelderman in U.S. Pat. No. 4,507,974 to clinical environments by reducing the effects of physiological noise. Signal processing techniques are used to characterize the background noise power spectrum of the system under test so that the effect of noise aberrations on the measured data may be eliminated and so that the predominant periodicities of the background noise spectra may be avoided. The invention further cross-correlates the input data of the system with the corresponding ouput data of the system to determine weighting values for each input frequency so that data collected at noisy frequencies is discounted. Low frequency noise or drift is also removed from the output signal by fitting the average of the output data to a quadratic function which is then subtracted from the original output signal, point by point. Finally, the processed data is fit to a lagged normal normal distribution curve in the frequency domain to solve for the parameters necessary to mathematically model the transfer function of the system. Given the input to the system as well as the frequency domain transfer function and noise data of the system, the volumetric flow of the system then may be determined for virtually any input even in very noisy environments without knowledge of the volume of the system.

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First Claim