Advanced lung ventilation system (ALVS) with linear respiratory mechanics assumption for waveform optimization of dual-controlled ventilation

Montecchia, F.; Guerrisi, Maria; Canichella, Antonio

doi:10.1016/j.medengphy.2006.03.006

Cited by 6 publications

(36 citation statements)

References 29 publications

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“…The controlled breathings during CV or A/CV can be properly classified considering the primary physical parameters controlled during the inspiratory time irrespective of load (respiratory characteristics of patient) varia-tions or fluctuations as well as ventilator settings [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…In the two basic modalities of controlled breathings, consisting in volume-controlled ventilation (VCV) and pressure-controlled ventilation (PCV), the ventilator supplies the load (respiratory system of patient) with the pre-established tidal volume through the selected respiratory airflow waveform and applies to the load (respiratory system of patient) the pre-established airways pressure waveform, respectively [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…alveolar over distension, specially for reduced lung compliance and of hypoxia, both due to functional failure of tidal volume computation, PCV is certainly the most adopted CV or A/CV modality for any kind of patient [12]. On the other hand, PCV, while eliminating the risk of "barotrauma" by measuring and controlling the airways pressure, can easily led to hypoxia for reduced tidal volume associated with high or increased inspiratory airways resistance [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…In detail, DCV is an advanced form of PCV in which the magnitude of selected airways pressure waveform is not kept constant but it is automatically regulated by feedback control for delivering during the inspiratory time either the tidal volume required or, considering the current respiratory frequency, the pre-established volume supplied to patient in every minute (minute volume) [6,7]. This is the so called DCV "breath to breath" mode, representing the most diffused form of DCV in the clinical practice [8,14].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the respiratory dynamics involved is considerably reduced on account of small tidal volumes required. Therefore, the respiratory mechanics of such patients can be properly assumed steady and linear [6]. According to PCV excitation hypothesis along with to steady and linear respiratory mechanics assumption, only DCV "breath to breath" mode will be considered in the present work.…”

Section: Introductionmentioning

confidence: 99%

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Harmonic excitation of linear respiratory mechanics for physiological dual controlled ventilation

Montecchia¹

2012

JBiSE

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The theoretical approach along with the rationale of harmonic excitation modality (HEM) applied as optimal dual controlled ventilation (DCV) to anaesthetized or severe brain injured patients, whose respiretory mechanics can be properly assumed steady and linear, are presented and discussed. The design criteria of an improved version of the Advanced Lung Ventilation System (ALVS), including HEM in its functional features, are described in details. In particular, the elimination of any undesiderable artificial distortion affecting the respiratory and ventilation pattern waveforms is achieved by maintaining continuous forever the airflow inside the ventilation circuit, ensuring also the highest level of safety for patient in any condition. In such a way, the full-time compatibility of controlled breathings with spontaneous breathing activity of patient during continuous positive airways pressure (CPAP) or bilevel positive airways pressure (BiPAP) ventilation modalities and during assisted/controlled ventilation(A/CV), includeing also synchronized or triggered ventilation modalities, is an intrinsic innovative feature of the system available for clinical application. As expected and according to the clinical requirements, HEM provides for physiological respiratory and ventilation pattern waveforms together with optimal "breath to breath" feedback control of lung volume driven by an improved diagnostic measurement procedure, whose outputs are also vital for adapting all the pre-set ventilation parameters to the current value of the respiratory parameters of patient. The results produced by software simulations concerning both adult and neonatal patients in different clinical conditions are completely consistent with those obtained by the theoretical treatment, showing that HEM reaches the best performances from both clinical and engineering points of view.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Harmonic excitation of linear respiratory mechanics for physiological dual controlled ventilation

Montecchia¹

2012

JBiSE

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An Algorithm to Design Pareto Optimal Controllers for Linear Systems

Menini

Possieri

Tornambè

2018

2018 IEEE Conference on Decision and Control (CDC)

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A Least Squares Based Parameter Identification of the Mesic Respiratory System Model

Liu

Feng

Shi

et al. 2009

2009 3rd International Conference on Bioinformatics and Biomedical Engineering

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A Mesic respiratory system parameter identification is studied in this paper for providing the useful theory and data support in the improvement of human respiratory model accuracy, respiratory disease diagnosis and design of the new ventilator. The Mesic respiratory system model is established based on Simulink platform. The least-square algorithm is then used to do the static and dynamic parameter identification with the theoretical data, clinical data and fitted clinical data. Finally, the validation of the parameter identification is performed by the clinical data. The parameters got by clinical fitting data could reach the physiological characteristics well. The pressure, volume and flow curve is the most similar compared with clinical data. This method provides an efficient way for the identification research of relative models. It is also a supplement of Mesic respiratory system.

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Advanced lung ventilation system (ALVS) with linear respiratory mechanics assumption for waveform optimization of dual-controlled ventilation

Cited by 6 publications

References 29 publications

Harmonic excitation of linear respiratory mechanics for physiological dual controlled ventilation

Harmonic excitation of linear respiratory mechanics for physiological dual controlled ventilation

An Algorithm to Design Pareto Optimal Controllers for Linear Systems

A Least Squares Based Parameter Identification of the Mesic Respiratory System Model

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