Model predictive valve control to assist lung pressure profile tracking
Model predictive valve control to assist lung pressure profile tracking
In the UK 60,000 people have a brain tumour, and typically are unaware of its presence until symptoms occur. Currently there is no mass screening available due to limitations in diagnostic techniques. Measurement of intracranial pressure (via tympanic membrane displacement) is a potential low-cost, accessible solution, however pressure fluctuations degrade its accuracy. This paper solves the problem by assisting participants to precisely track airway pressure profiles. This stabilises intrathoracic pressure, significantly reducing the fluctuations and enabling accurate diagnosis of intracranial pressure. The paper develops and evaluates the first model of lung pressure tracking to embed volitional control action. A clinically feasible identification approach is then derived, together with a novel model predictive control framework, embedding a valve control subsystem. Results with 10 participants confirm that
tracking is improved by an average of 22%.
Airway pressure tracking, brain tumor, diagnostics, intracranial pressure (ICP), model predictive control (MPC)
1509-1520
Thompson, M.
9678cbee-9f4e-4eba-97d7-a8f573ff4901
Freeman, Chris
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O'Brien, Neil
7856f2e1-73fc-4cb9-a1f4-9b6c8b9373e7
Hughes, Ann-Marie
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Marchbanks, Robert J.
1ebe90b6-cb8a-4f9e-9585-4e264a951d7f
Birch, Tony
755f2236-4c0c-49b5-9884-de4021acd42d
25 February 2025
Thompson, M.
9678cbee-9f4e-4eba-97d7-a8f573ff4901
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
O'Brien, Neil
7856f2e1-73fc-4cb9-a1f4-9b6c8b9373e7
Hughes, Ann-Marie
11239f51-de47-4445-9a0d-5b82ddc11dea
Marchbanks, Robert J.
1ebe90b6-cb8a-4f9e-9585-4e264a951d7f
Birch, Tony
755f2236-4c0c-49b5-9884-de4021acd42d
Thompson, M., Freeman, Chris, O'Brien, Neil, Hughes, Ann-Marie, Marchbanks, Robert J. and Birch, Tony
(2025)
Model predictive valve control to assist lung pressure profile tracking.
IEEE Transactions on Control Systems Technology, 33 (5), .
(doi:10.1109/TCST.2025.3542215).
Abstract
In the UK 60,000 people have a brain tumour, and typically are unaware of its presence until symptoms occur. Currently there is no mass screening available due to limitations in diagnostic techniques. Measurement of intracranial pressure (via tympanic membrane displacement) is a potential low-cost, accessible solution, however pressure fluctuations degrade its accuracy. This paper solves the problem by assisting participants to precisely track airway pressure profiles. This stabilises intrathoracic pressure, significantly reducing the fluctuations and enabling accurate diagnosis of intracranial pressure. The paper develops and evaluates the first model of lung pressure tracking to embed volitional control action. A clinically feasible identification approach is then derived, together with a novel model predictive control framework, embedding a valve control subsystem. Results with 10 participants confirm that
tracking is improved by an average of 22%.
Text
IEEE_CST_Journal_Paper_2024
- Accepted Manuscript
More information
Accepted/In Press date: 26 January 2025
Published date: 25 February 2025
Keywords:
Airway pressure tracking, brain tumor, diagnostics, intracranial pressure (ICP), model predictive control (MPC)
Identifiers
Local EPrints ID: 498969
URI: http://eprints.soton.ac.uk/id/eprint/498969
ISSN: 1063-6536
PURE UUID: 8ad02313-1fd8-4cdd-8eb7-0521f28814ea
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Date deposited: 05 Mar 2025 17:58
Last modified: 04 Sep 2025 02:08
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Contributors
Author:
M. Thompson
Author:
Chris Freeman
Author:
Neil O'Brien
Author:
Robert J. Marchbanks
Author:
Tony Birch
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