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The effect of differentiation technique utilized in continuous noninvasive blood pressure measurement

Mueller, Jonathon W.
http://rave.ohiolink.edu/etdc/view?acc_num=akron1145295553

Abstract Details

2006, Master of Science in Engineering, University of Akron, Biomedical Engineering.
The measurement of blood pressure is a vital tool for any healthcare provider, purveying information that could help diagnose any number of pathologies. This is especially the case in critical care settings where the ability to continuously measure arterial blood pressure impacts immediate medical decisions. Of the techniques for noninvasive blood pressure measurement, cuff auscultation is clinically most often utilized. Unfortunately, this method requires a minimum rest period of one minute. Since this time lapse is unacceptable in a critical care setting, the need arises for a continuous and noninvasive method for blood pressure measurement. Several such commercially available methods exist, but they are often limited in clinical usefulness. It was the purpose of this study to investigate one such method involving the calculation of pulse transit time. This research was focused on: using both artificial simulations and previously measured simultaneous physiological electrocardiograph (ECG), photoplethysmograph (PPG), and continuous tonometric blood pressure data; applying the algorithm described by Fung to calculate arterial blood pressures from pulse transit time, and investigating an improvement to this algorithm; applying several digital differentiation techniques (spectral, central difference, original Pan-Tompkins, and Pan-Tompkins errata differentiation) for both ECG R-spike detection (compared to ECG R-spike detection without differentiation) and PPG landmark detection; and determining if statistically significant differences existed between the mean arterial pressures (MAP) obtained by various methodologies applied to several PPG curves, and between the beat-to-beat blood pressure measurements made by tonometry. Additionally this research investigated both mathematical and statistical differences that existed when each of the digital differentiators were applied to Fourier reconstructed idealized ECG and PPG waveforms. The primary conclusions drawn from this testing were that although the calculated values were not identical, statistically significant differences did not exist: between the respective digital differentiators, between the PTTs and between the MAPs determined from each testing iteration, and between the Fung algorithm and a modification made thereto. There was a statistically significant difference between those MAPs calculated through derivative-based ECG R-spike detection and direct R-spike detection; with the mean of the MAPs determined without derivative-based ECG R-spike detection performing more favorably compared its derivative alternative.
Dale Mugler (Advisor)
Bruce Taylor (Advisor)
125 p.
Mean Arterial Pressure,; Continuous Noninvasive Blood Pressures Derivative Techniques,; Electrocardiograph,; Photoplethysmograph,; Spectral Differentiation,; Pulse Transit Time

Recommended Citations

Citations

  • Mueller, J. W. (2006). The effect of differentiation technique utilized in continuous noninvasive blood pressure measurement [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1145295553

    APA Style (7th edition)

  • Mueller, Jonathon. The effect of differentiation technique utilized in continuous noninvasive blood pressure measurement. 2006. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1145295553.

    MLA Style (8th edition)

  • Mueller, Jonathon. "The effect of differentiation technique utilized in continuous noninvasive blood pressure measurement." Master's thesis, University of Akron, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1145295553

    Chicago Manual of Style (17th edition)

akron1145295553
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© 2006, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.