MEchatronic REspiratory System SImulator for Neonatal Applications (MERESSINA) project: a novel bioengineering goal (original) (raw)
Related papers
2016
Abstract: Respiratory function is mandatory for extrauterine life, but is sometimes impaired in newborns due to prematurity, congenital malformations, or acquired pathologies. Mechanical ventilation is standard care, but long-term complications, such as bronchopulmonary dysplasia, are still largely reported. Therefore, continuous medical education is mandatory to correctly manage devices for assistance. Commercially available breathing function simulators are rarely suitable for the anatomical and physiological realities. The aim of this study is to develop a high-fidelity mechatronic simulator of neonatal airways and lungs for staff training and mechanical ventilator testing. The project is divided into three different phases: (1) a review study on respiratory physiology and pathophysiology and on already available single and multi-compartment models; (2) the prototyping phase; and (3) the on-field system validation.
A new infant hybrid respiratory simulator: preliminary evaluation based on clinical data
Medical & biological engineering & computing, 2017
A new hybrid (numerical-physical) simulator of the respiratory system, designed to simulate spontaneous and artificial/assisted ventilation of preterm and full-term infants underwent preliminary evaluation. A numerical, seven-compartmental model of the respiratory system mechanics allows the operator to simulate global and peripheral obstruction and restriction of the lungs. The physical part of the simulator is a piston-based construction of impedance transformer. LabVIEW real-time software coordinates the work of both parts of the simulator and its interaction with a ventilator. Using clinical data, five groups of "artificial infants" were examined: healthy full-term infants, very low-birth-weight preterm infants successfully (VLBW) and unsuccessfully extubated (VLBWun) and extremely low-birth-weight preterm infants without (ELBW) and with bronchopulmonary dysplasia (ELBW_BPD). Pressure-controlled ventilation was simulated to measure peak inspiratory pressure, mean airwa...
Review of Scientific Instruments, 2002
A patient active simulator is proposed which is capable of reproducing values of the parameters of pulmonary mechanics of healthy newborns and preterm pathological infants. The implemented prototype is able to: ͑a͒ let the operator choose the respiratory pattern, times of apnea, episodes of cough, sobs, etc., ͑b͒ continuously regulate and control the parameters characterizing the pulmonary system; and, finally, ͑c͒ reproduce the attempt of breathing of a preterm infant. Taking into account both the limitation due to the chosen application field and the preliminary autocalibration phase automatically carried out by the proposed device, accuracy and reliability on the order of 1% is estimated. The previously indicated value has to be considered satisfactory in light of the field of application and the small values of the simulated parameters. Finally, the achieved metrological characteristics allow the described neonatal simulator to be adopted as a reference device to test performances of neonatal ventilators and, more specifically, to measure the time elapsed between the occurrence of a potentially dangerous condition to the patient and the activation of the corresponding alarm of the tested ventilator.
Children
Face mask ventilation of apnoeic neonates is an essential skill. However, many non-paediatric healthcare personnel (HCP) in high-resource childbirth facilities receive little hands-on real-life practice. Simulation training aims to bridge this gap by enabling skill acquisition and maintenance. Success may rely on how closely a simulator mimics the clinical conditions faced by HCPs during neonatal resuscitation. Using a novel, low-cost, high-fidelity simulator designed to train newborn ventilation skills, we compared objective measures of ventilation derived from the new manikin and from real newborns, both ventilated by the same group of experienced paediatricians. Simulated and clinical ventilation sequences were paired according to similar duration of ventilation required to achieve success. We found consistencies between manikin and neonatal positive pressure ventilation (PPV) in generated peak inflating pressure (PIP), mask leak and comparable expired tidal volume (eVT), but pos...
Medical & Biological Engineering & Computing, 2019
Circuit compliance close to lung compliance can create serious problems in effective and safe mechanical ventilation of preterm infants. We considered what ventilation technique is the most beneficial in this case. A hybrid (numerical-physical) simulator of infant respiratory system mechanics, the Bennett Ventilator and NICO apparatus were used to simulate pressure-controlled ventilation (PC) and volume-controlled ventilation with constant flow (VCV CF) and descending flow (VCV DF), under permissive hypercapnia (PHC) (6 ml kg −1) and normocapnia (SV) (8 ml kg −1) conditions. Respiratory rate (RR) was 36 or 48 min −1 and PEEP was 0.3 or 0.6 kPa. Peak inspiratory pressure (PIP), mean airway pressure (MAP), and work of breathing by the ventilator (WOB) were lower (P < 0.01, 1 − β = 0.9) using the PHC strategy compared to the SV strategy. The WOB increased (P < 0.01; 1 − β = 0.9) when the RR increased. The PC, VCV CF , and VCV DF modes did not differ in minute ventilation produced by the ventilator (MV V), but the PC mode delivered the highest minute ventilation to the patient (MV T) (P < 0.01; 1 − β = 0.9) at the same PIP, MAP, and WOB. The most beneficial ventilation technique appeared to be PC ventilation with the PHC strategy, with lower RR (36 min −1).
Pressure oscillation delivery to the lung: Computer simulation of neonatal breathing parameters
Journal of Biomechanics, 2011
Preterm newborn infants may develop respiratory distress syndrome (RDS) due to functional and structural immaturity. A lack of surfactant promotes collapse of alveolar regions and airways such that newborns with RDS are subject to increased inspiratory effort and non-homogeneous ventilation. Pressure oscillation has been incorporated into one form of RDS treatment; however, how far it reaches various parts of the lung is still questionable. Since in-vivo measurement is very difficult if not impossible, mathematical modeling may be used as one way of assessment. Whereas many models of the respiratory system have been developed for adults, the neonatal lung remains essentially illdescribed in mathematical models. A mathematical model is developed, which represents the first few generations of the tracheo-bronchial tree and the 5 lobes that make up the premature ovine lung. The elements of the model are derived using the lumped parameter approach and formulated in Simulink TM within the Matlab TM environment. The respiratory parameters at the airway opening compare well with those measured from experiments. The model demonstrates the ability to predict pressures, flows and volumes in the alveolar regions of a premature ovine lung.
Simulations for Mechanical Ventilation in Children: Review and Future Prospects
Mechanical ventilation is a very effective therapy, but with many complications. Simulators are used in many fields, including medicine, to enhance safety issues. In the intensive care unit, they are used for teaching cardiorespiratory physiology and ventilation, for testing ventilator performance, for forecasting the effect of ventilatory support, and to determine optimal ventilatory management. They are also used in research and development of clinical decision support systems (CDSSs) and explicit computerized protocols in closed loop. For all those reasons, cardiorespiratory simulators are one of the tools that help to decrease mechanical ventilation duration and complications. This paper describes the different types of simulators described in the literature for physiologic simulation and modeling of the respiratory system, including a new simulator (SimulResp), and proposes a validation process for these simulators.
An active simulator for neonatal intubation: Design, development and assessment
Medical Engineering & Physics, 2017
This study describes the technical realization and the pre-clinical validation of a instrumented neonatal intubation skill trainer able to provide objective feedback for the improvement of clinical competences required for such a delicate procedure. The Laerdal ® Neonatal Intubation Trainer was modified by applying pressure sensors on areas that are mainly subject to stress and potential injuries. Punctual Force Sensing Resistors (FSRs) were characterized and fixed on the external side of the airway structure on the dental arches and epiglottis. A custom silicone tongue was designed and developed to integrate a matrix textile sensor for mapping the pressure applied on its whole surface. The assessment of the developed tool was performed by nine clinical experts who were asked to practice three intubation procedures apiece. Median and maximum forces, over threshold events (i.e. 2 N for gingival arch sensors and 7 N for epiglottis and tongue sensors respectively) and execution time were measured for each trainee. Data analysis from training sessions revealed that the epiglottis is the point mainly stressed during an intubation procedure (maximum value: 16.69 N, median value: 3.11 N), while the analysis carried out on the pressure distribution on the instrumented tongue provided information on both force values and distribution, according to clinicians' performance. The debriefing phase was used to enhance the clinicians' awareness of applied force and gestures performed, confirming that the present study is an adequate starting point for achieving and optimizing neonatal intubation skills for both residents and expert clinicians.
Use of neonatal simulation models to assess competency in bag-mask ventilation
OBJECTIVE: Providing adequate bag-mask ventilation (BMV) is an essential skill for neonatal resuscitation. Often this skill is learned using simulation manikins. Currently, there is no means of measuring the adequacy of ventilation in simulated scenarios. Thus, it is not possible to ascertain proficiency. The first aim of this study was to measure the pressure generated during BMV as performed by providers with different skill levels and measure the impact of different feedback mechanisms. The second aim was to measure the pressure volume characteristics of two neonatal manikins to see how closely they reflect newborn lung mechanics. STUDY DESIGN: In Phase I to achieve the first aim, we evaluated BMV skills in different level providers including residents (n = 5), fellows (n = 5), neonatal nurse practitioners (n = 5) and neonatologists (n = 5). Each provider was required to provide BMV for 2-min epochs on the SimNewB (Laerdal), which had been instrumented to measure pressure-volume characteristics. In sequential 2-min epochs, providers were given different feedback including chest-wall movement alone compared to manometer plus chest-wall movement or chest-wall movement plus manometer plus laptop lung volume depiction. In Phase II of the study we measured pressure-volume characteristics in instrumented versions of the SimNewB (Laerdal) and NeoNatalie (Laerdal). RESULTS: In Phase I, all providers are compared with the neonatologists. All measurements of tidal volume (V t ) are below the desired 5 ml kg − 1 . The greatest difference in V t between the neonatologists and other providers occurs when only chest-wall movement is provided. A linear relationship is noted between V t and PIP for both SimNewB and NeoNatalie. The compliance curves are not 'S-shaped' and are different between the two models (P o0.001). CONCLUSION: Phase I of this study demonstrates that the SimNewB with the feedback of chest-wall movement alone was the best method of distinguishing experienced from inexperienced providers during simulated BMV. Therefore this is likely to be the best method to ascertain proficiency. Phase II of the study shows that the currently available neonatal simulation manikins do not have pressure-volume characteristics that are reflective of newborn lung mechanics, which can result in suboptimal training.