Pressure and Volume Control of a Non-invasive Mechanical Ventilator: a PI and LQR Approach

Morales, Sergio; Palomino, Styven; Terreros, Ricardo; Ulloque, Victor; Bazan-Lavanda, Noe; Palacios-Matos, Maria; Valdivia-Silva, Julio; Vela, Emir A.; Canahuire, Ruth

doi:10.1109/iccma54375.2021.9646186

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…Recent equipment shortages due to infectious diseases have evidenced the possibility of developing a multiplexed NIV paradigm [27]. Furthermore, the continuous monitoring of ventilatory parameters has led to the implementation of novel signal processing and machine learning techniques to enable the predictive capabilities of such equipment [28,29]. The proposed NIV's core is a turbine for airflow generation and a microcontroller for operational monitoring and control.…”

Section: Introductionmentioning

confidence: 99%

Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System

Menniti,

Laganà,

Oliva

et al. 2024

Electronics

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Recently, the incidence of, and interest in, respiratory diseases has been amplified by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and other respiratory diseases with a high prevalence. Most of these diseases require mechanical ventilation for homecare and clinical therapy. Herein, we propose a portable and non-invasive mechanical fan (NIV) for home and clinical applications. The NIV’s core is a turbine for airflow generation, which can provide and monitor a positive two-level pressure of up to approximately 500 lpm at 50 cmH2O according to the inspiration/expiration phase. After calibration, the proposed NIV can precisely set the airflow with a pressure between 4 cmH2O and 20 cmH2O, providing a versatile device that can be used for continuous positive airway pressure (CPAP) or bilevel positive airway pressure (BiPAP). The airflow is generated by a turbine monitored using a mass flow sensor. The whole NIV is monitored with a 16 MHz clock microcontroller. An analog-to-digital converter is used as the input for analog signals, while a digital-to-analog converter is used to drive the turbine. I2C protocol signals are used to manage the display. Moreover, a Wi-Fi system is interfaced for the transmission/reception of clinical and technical information via a smartphone, achieving a remote-controlled NIV.

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Section: Introductionmentioning

confidence: 99%

Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System

Menniti,

Laganà,

Oliva

et al. 2024

Electronics

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“…Alternatively, multiple emergency ventilators were developed as a result of collaboration between industry, academia and government; such as [1] or [2]. Therefore, the Pontificia Universidad Católica del Perú (PUCP) developed a prototype comparable with a high-end mechanical ventilator.…”

Section: Introductionmentioning

confidence: 99%

Development of a Simulation Software Algorithm for High-End Mechanical Ventilators with Functionalities to attend COVID-19 Patients

Ticllacuri

Ibarra

Zumaeta

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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More than 500 millions of people were affected by the COVID-19 pandemic and in Peru there is an increasing the high numbers of cumulative cases; as well as the hospitalized people, where more than 20% require mechanical ventilation. This condition with other respiratory diseases cause patients to remain connected to a mechanical ventilator until they regain the ability to perform this vital function on their own. Some prototypes with characteristics equivalent to a highend mechanical ventilator have been developed. And therefore, this paper presents the design and simulation of an algorithm for the pressure-controlled pulmonary ventilation mode of the mechanical ventilator. The functional design of the algorithm uses the linear multi compartment mathematical model to simulate the respiratory system. Finally the results respond adequately under multiple scenarios, including variations of the ventilator and pulmonary parameters, where the algorithm presents encouraging results in the mechanical ventilator simulation.Clinical relevanceÐThe algorithm presented in this study will allow to have better knowledge for a treatment and eventual clinical diagnosis in health centers, especially in eventual variants and outbreaks of COVID-19.

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RGM-Based Smart Non-invasive Ventilator for Supporting Respiratory System

Vimala,

Karuppasamy,

Navina

et al. 2023

Advances in Intelligent Systems and Computing

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Pressure and Volume Control of a Non-invasive Mechanical Ventilator: a PI and LQR Approach

Cited by 8 publications

References 8 publications

Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System

Development of Non-Invasive Ventilator for Homecare and Patient Monitoring System

Development of a Simulation Software Algorithm for High-End Mechanical Ventilators with Functionalities to attend COVID-19 Patients

RGM-Based Smart Non-invasive Ventilator for Supporting Respiratory System

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