Method of predicting fluid responsiveness in patients
AssigneeBaylor College of Medicine
InventorsSebastian Acosta, Mubbasheer Ahmed, Suellen Yin, Kenneth M. Brady, Daniel J. Penny, Craig Rusin
Life of this patent
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Abstract
A technique for predicting fluid responsiveness in a critically ill patient comprises measuring physiological data of the patient, then generating an estimate of pulse pressure variability from a Fourier transform of the physiological waveform. Both invasive and non-invasive physiological data measurements may be used.
Claims22
A method of predicting fluid responsiveness in a critically ill patient, comprising:
- measuring a real-time physiological data of the patient, producing a real-time physiological waveform;
- performing a discrete Fourier transform of the real-time physiological waveform;
- generating an estimate of pulse pressure variability from the discrete Fourier transform of the real-time physiological waveform;
- and
- displaying the estimate of pulse pressure variability on a clinical display.
A non-transitory machine-readable medium, on which are stored instructions for predicting fluid responsiveness in a critically ill patient, comprising instructions that when executed cause a programmable device to:
- measure a real-time physiological data of the patient, producing a real-time physiological waveform;
- perform a discrete Fourier transform of the real-time physiological waveform;
- generate an estimate of pulse pressure variability from the discrete Fourier transform of the real-time physiological waveform;
- and
- display the estimate of pulse pressure variability on a clinical display.
A physiological monitoring system, comprising:
- a programmable device;
- a storage medium, coupled to the programmable device, on which are stored instructions for predicting fluid responsiveness in a critically ill patient, comprising instructions that when executed cause the programmable device to:
- measure a real-time physiological data of the patient, producing a real-time physiological waveform;
- perform a discrete Fourier transform of the real-time physiological waveform;
- generate an estimate of pulse pressure variability from the discrete Fourier transform of the real-time physiological waveform;
- and
- display the estimate of pulse pressure variability on a clinical display.
Dependencies are inferred from the claim text.