Respiratory muscular response to obstructive maneuvers in non-invasively ventilated healthy subjects

Muñoz, Isabel Cristina; Ortega, Yessika María; Mañanas, Miguel Ángel

doi:10.1016/j.resp.2018.06.002

Cited by 1 publication

(4 citation statements)

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“…Table 1 summarizes the obtained ventilatory mechanics. The sensor types and resistors used for the registration of the DB, the inclusion criteria, the ethical approval, and other acquisition aspects are detailed in the work carried out by the GIBIC research group in [20].…”

Section: Anatomy and Physiology Module Description Of The Databasementioning

confidence: 99%

“…However, the equations involved in the model do not consider that the respiratory cycle can be altered by reflexes that arise in the lungs, airways, and the cardiovascular system as a result of respiratory control exerted by the nervous system [37]. This reflex mechanism against variations in mechanical parameters, the error related to the experimental data due to electromyography techniques and obstructive maneuvers for signal acquisition, and the respiratory mechanics' data variability reported in [20] all justify the errors presented in Table 4.…”

Section: Individual Analysismentioning

confidence: 99%

“…The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of University of Antioquia, Approval report 15-59-664. The extra information of Data Base is detailed in [4,20].…”

Section: Institutional Review Board Statementmentioning

confidence: 99%

“…Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. The details of data base is in [4,20].…”

Section: Institutional Review Board Statementmentioning

confidence: 99%

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Web Applications for Teaching the Respiratory System: Content Validation

et al. 2022

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The subject of respiratory mechanics has complex characteristics, functions, and interactions that can be difficult to understand in training and medical education contexts. As such, education strategies based on computational simulations comprise useful tools, but their application in the medical area requires stricter validation processes. This paper shows a statistical and a Delphi validation for two modules of a web application used for respiratory system learning: (I) “Anatomy and Physiology” and (II) “Work of Breathing Indexes”. For statistical validation, population and individual analyses were made using a database of healthy men to compare experimental and model-predicted data. For both modules, the predicted values followed the trend marked by the experimental data in the population analysis, while in the individual analysis, the predicted errors were 9.54% and 25.38% for maximal tidal volume and airflow, respectively, and 6.55%, 9.33%, and 11.77% for rapid shallow breathing index, work of breathing, and maximal inspiratory pressure, respectively. For the Delphi validation, an average higher than 4 was obtained after health professionals evaluated both modules from 1 to 5. In conclusion, both modules are good tools for respiratory system learning processes. The studied parameters behaved consistently with the expressions that describe ventilatory dynamics and were correlated with experimental data; furthermore, they had great acceptance by specialists.

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Section: Anatomy and Physiology Module Description Of The Databasementioning

confidence: 99%

Section: Individual Analysismentioning

confidence: 99%

Section: Institutional Review Board Statementmentioning

confidence: 99%

“…Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. The details of data base is in [4,20].…”

Section: Institutional Review Board Statementmentioning

confidence: 99%

See 2 more Smart Citations