Abstract
A signal processing technique has been developed to determine respiratory function parameters by processing displacement data obtained from the abdomen and the ribcage of infants using respiratory inductive plethysmography. The technique transforms time-variant signals into the frequency domain, where they are filtered to reduce unwanted signal components. The phase relationship between the abdominal displacement and the ribcage displacement is determined from the phases of the filtered signals. Flow–volume loops, which are currently of great interest in respiratory medicine, are obtained from waveforms representing respiratory tidal flow and respiratory tidal volume. The index of respiratory timing is determined from a waveform representing respiratory tidal flow. The technique has been verified by statistical comparison with data simultaneously obtained using pneumotachography in a clinical study involving 49 infants.
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