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Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction
Joint Authors
Lam, Frank
Lu, Hsiang-Wei
Aliyazicioglu, Zekeriya
Kang, James S.
Wu, Chung-Che
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Clinical applications that require extraction and interpretation of physiological signals or waveforms are susceptible to corruption by noise or artifacts.
Real-time hemodynamic monitoring systems are important for clinicians to assess the hemodynamic stability of surgical or intensive care patients by interpreting hemodynamic parameters generated by an analysis of aortic blood pressure (ABP) waveform measurements.
Since hemodynamic parameter estimation algorithms often detect events and features from measured ABP waveforms to generate hemodynamic parameters, noise and artifacts integrated into ABP waveforms can severely distort the interpretation of hemodynamic parameters by hemodynamic algorithms.
In this article, we propose the use of the Kalman filter and the 4-element Windkessel model with static parameters, arterial compliance C, peripheral resistance R, aortic impedance r, and the inertia of blood L, to represent aortic circulation for generating accurate estimations of ABP waveforms through noise and artifact reduction.
Results show the Kalman filter could very effectively eliminate noise and generate a good estimation from the noisy ABP waveform based on the past state history.
The power spectrum of the measured ABP waveform and the synthesized ABP waveform shows two similar harmonic frequencies.
American Psychological Association (APA)
Lam, Frank& Lu, Hsiang-Wei& Wu, Chung-Che& Aliyazicioglu, Zekeriya& Kang, James S.. 2017. Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142268
Modern Language Association (MLA)
Lam, Frank…[et al.]. Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1142268
American Medical Association (AMA)
Lam, Frank& Lu, Hsiang-Wei& Wu, Chung-Che& Aliyazicioglu, Zekeriya& Kang, James S.. Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142268
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142268