Method for estimating a central pressure waveform obtained with a blood pressure cuff
AssigneeUSCOM Limited
InventorAndrew Lowe
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AssigneeUSCOM Limited
InventorAndrew Lowe
Estimating the term…
A physics-based mathematical model is used to estimate central pressure waveforms from measurements of a brachial pressure waveform measured using a supra-systolic cuff. The method has been tested in numerous subjects undergoing cardiac catheterisation. Central pressure agreement was within 11 mm Hg and as good as the published non-invasive blood pressure agreement between the oscillometric device in use and the so-called “gold standard.” It also exceeds international standards for the performance of non-invasive blood pressure measurement devices. The method has a number of advantages including simplicity of application, fast calculation and accuracy of prediction. Additionally, model parameters have physical meaning and can therefore be tuned to individual subjects. Accurate estimation of central waveforms also allow continuous measurement (with intermittent calibration) using other non-invasive sensing systems including photoplethysmography.
A method of sensing and analyzing supra-systolic blood pressure waveforms obtained non-invasively from a brachial artery in an arm of a patient, using a blood pressure cuff and cuff pressure transducer, to estimate central artery blood pressures, said method comprising the steps of:
The method according to claim. 11, wherein the propagation time is the difference in time between an occurrence of a foot. of the estimated brachial pressure pulse and an occurrence of a preceding R-wave of a synchronously collected ECG signal.
A method analyzing central blood pressure waveforms obtained non-invasively from a brachial artery in an arm of a patient, using a blood pressure cuff and cuff pressure transducer as a first non-invasive sensor and as a second non-invasive sensor of heart synchronous pulse signals, thereby to estimate central artery blood pressures, said method comprising the steps of
Dependencies are inferred from the claim text.