Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance.
David Stevenson1, James Revie, J Geoffrey Chase
1Department of Mechanical Engineering, Centre for Bio Engineering at the University of Canterbury, Christchurch, New Zealand.
Biomedical Engineering Online
|June 19, 2012
Summary
This study introduces a novel method to process noisy aortic and pulmonary artery pressure waveforms. The technique accurately identifies key points for estimating cardiac elastance non-invasively.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Signal Processing
Background:
- Direct measurement of cardiac elastances is highly invasive.
- Cardiac elastances provide clinically valuable information.
- Aortic (Pao) and pulmonary artery (Ppa) pressure waveforms contain data for elastance estimation but are often noisy.
Purpose of the Study:
- To present a method for algorithmic processing of pressure waveforms.
- To enable non-invasive estimation of cardiac elastances.
- To overcome challenges posed by noisy and biased pressure waveform data.
Main Methods:
- Development of a shear transform to process pressure waveforms.
- The transform converts difficult-to-locate waveform features into easily identifiable points.
- Includes error correction capabilities for improved accuracy.
Main Results:
- Successfully located points on 87/88 Ppa waveforms within the sampling frequency.
- For Pao waveforms, 605/616 points were located within 1% accuracy.
- Minor deviations (1-20%) were observed for a small number of Pao points.
Conclusions:
- The developed method offers a robust and accurate approach for analyzing pressure waveforms.
- It allows for dysfunction-independent, non-invasive estimation of left and right cardiac elastance.
- Enables accurate cardiac elastance assessment from Pao and Ppa waveforms.
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