Nada, M.D. and Linkens, D.A. (1976) An Adaptive Analogue Tracker for Automatic Measurement of Time-Varying Lung Parameters. Research Report. ACSE Research Report 38 . Department of Automatic Control and Systems Engineering
Abstract
This research report describes the design and results obtained using simple electronic circuits specially designed for implementing a single lung parameter tracking algorithm for identification of the mechanical properties of the lung. Unlike the commonly used loop-flattening technique, the adaptive electronic tracker is able to monitor continuously the mechanical properties of the respiratory system. It is capable of tracking the rapid changes in lung parameters as the frequency of breathing changes. The design of the adaptive tracker is based on equation-error formulation and the global asymptotic stability of the adaptive tracking equations is guaranteed. The cheapness and simplicity of the tracker makes it suitable for clinical applications.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 06 May 2015 11:31 |
Last Modified: | 26 Oct 2016 17:51 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 38 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85730 |