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

IF 2.1 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Samuel Hastings, Jacob Mildenhall, Kayla Sinclair, Ella F.S. Guy, Jaimey A. Clifton, Jordan F. Hill, Yunpeng Su, J. Geoffrey Chase
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Abstract

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.

Abstract Image

提供闭环机械通气框架的呼吸压力和流量数据采集装置
本文详细介绍了一种压力和流量传感器系统设备,该设备为研究和开发闭环或半闭环控制系统中的个性化机械呼吸机支持提供了框架,其中该设备的测量可以连接到数字孪生模型和任何允许开放控制的呼吸机。在目前的实践中,患者对机械通气的反应是高度可变的。此外,目前的断奶最佳做法依赖于临床经验,这可能导致护理和健康结果的可变性和不平等。当与数字孪生模型(基于患者特定数据模拟生理)相结合时,个性化护理可以通过提高ICU(重症监护病房)的护理水平,而不考虑临床医生经验和/或患者的可变性,从而改善由于患者可变性而导致的护理不平等。该设备由两个3D打印定制文丘里管和一个y形片组成,带有差压传感器,可测量患者的压力表、吸气和呼气压力。传感器系统的工作范围为±50.8 cmH2O,流量数据的平均误差为3.2%。系统在ESP32-S3开发板之间采用BLE (Bluetooth Low Energy)通信,实现闭环框架。在这个循环中,压力数据被发送到一个数字侧表,该侧表运行数字孪生协议,并向BLE控制的呼吸机发送命令。总体而言,该设备通过与数字双胞胎模型集成,允许个性化机械通气治疗的未来发展和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
HardwareX
HardwareX Engineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍: HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.
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