Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation

This article details a pressure and flow sensor system device which enables a framework for the research and development of personalized mechanical ventilator support in a closed-loop or semi-closed-loop control system, where the measurements from this device could be hooked to digital twin models a...

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Main Authors: Samuel Hastings, Jacob Mildenhall, Kayla Sinclair, Ella F.S. Guy, Jaimey A. Clifton, Jordan F. Hill, Yunpeng Su, J. Geoffrey Chase
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:HardwareX
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Online Access:http://www.sciencedirect.com/science/article/pii/S2468067225000495
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author Samuel Hastings
Jacob Mildenhall
Kayla Sinclair
Ella F.S. Guy
Jaimey A. Clifton
Jordan F. Hill
Yunpeng Su
J. Geoffrey Chase
author_facet Samuel Hastings
Jacob Mildenhall
Kayla Sinclair
Ella F.S. Guy
Jaimey A. Clifton
Jordan F. Hill
Yunpeng Su
J. Geoffrey Chase
author_sort Samuel Hastings
collection DOAJ
description This article details a pressure and flow sensor system device which enables a framework for the research and development of personalized mechanical ventilator support in a closed-loop or semi-closed-loop control system, where the measurements from this device could be hooked to digital twin models and any ventilator allowing open control.In current practice, patient response to mechanical ventilation is highly variable. Furthermore, current weaning best-practice relies on clinical experience which can lead to variability and inequality in both care and health outcomes. Personalized care can improve these inequalities in care due to patient variability when combined with digital twin models, which simulate physiology based on patient specific data, by improving the level of care possible in the ICU (Intensive Care Unit), regardless of clinician experience and/or patient variability.The device consists of two 3D printed custom Venturis and a Y-piece, with differential pressure sensors measuring gauge, inhalation, and exhalation pressure at the patient. The sensor system has an operating range of ±50.8 cmH2O and a mean error in flow data of 3.2%. The system uses BLE (Bluetooth Low Energy) communication between ESP32-S3 development boards to facilitate the closed loop framework. Within this loop, pressure data is sent to a digital beside sheet, which runs digital twin protocols and sends commands to a BLE controlled ventilator. Overall, this device allows the future development and validation of personalized mechanical ventilation treatment through integration with digital twin models.
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spelling doaj-art-cc73649e3ebc424cb0b46f02de946faa2025-08-20T02:37:38ZengElsevierHardwareX2468-06722025-09-0123e0067110.1016/j.ohx.2025.e00671Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilationSamuel Hastings0Jacob Mildenhall1Kayla Sinclair2Ella F.S. Guy3Jaimey A. Clifton4Jordan F. Hill5Yunpeng Su6J. Geoffrey Chase7Corresponding author.; Department of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandThis article details a pressure and flow sensor system device which enables a framework for the research and development of personalized mechanical ventilator support in a closed-loop or semi-closed-loop control system, where the measurements from this device could be hooked to digital twin models and any ventilator allowing open control.In current practice, patient response to mechanical ventilation is highly variable. Furthermore, current weaning best-practice relies on clinical experience which can lead to variability and inequality in both care and health outcomes. Personalized care can improve these inequalities in care due to patient variability when combined with digital twin models, which simulate physiology based on patient specific data, by improving the level of care possible in the ICU (Intensive Care Unit), regardless of clinician experience and/or patient variability.The device consists of two 3D printed custom Venturis and a Y-piece, with differential pressure sensors measuring gauge, inhalation, and exhalation pressure at the patient. The sensor system has an operating range of ±50.8 cmH2O and a mean error in flow data of 3.2%. The system uses BLE (Bluetooth Low Energy) communication between ESP32-S3 development boards to facilitate the closed loop framework. Within this loop, pressure data is sent to a digital beside sheet, which runs digital twin protocols and sends commands to a BLE controlled ventilator. Overall, this device allows the future development and validation of personalized mechanical ventilation treatment through integration with digital twin models.http://www.sciencedirect.com/science/article/pii/S2468067225000495Mechanical ventilationPressureFlowVenturiDigital twinClosed loop
spellingShingle Samuel Hastings
Jacob Mildenhall
Kayla Sinclair
Ella F.S. Guy
Jaimey A. Clifton
Jordan F. Hill
Yunpeng Su
J. Geoffrey Chase
Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
HardwareX
Mechanical ventilation
Pressure
Flow
Venturi
Digital twin
Closed loop
title Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
title_full Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
title_fullStr Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
title_full_unstemmed Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
title_short Respiratory pressure and flow data collection device providing a framework for closed-loop mechanical ventilation
title_sort respiratory pressure and flow data collection device providing a framework for closed loop mechanical ventilation
topic Mechanical ventilation
Pressure
Flow
Venturi
Digital twin
Closed loop
url http://www.sciencedirect.com/science/article/pii/S2468067225000495
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