Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research on Biomedical Engineering (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402015000400343 |
Resumo: | Abstract Introduction: This work concerns the assessment of a novel system for mechanical ventilation and a parameter estimation method in a bench test. The tested system was based on a commercial mechanical ventilator and a personal computer. A computational routine was developed do drive the mechanical ventilator and a parameter estimation method was utilized to estimate positive end-expiratory pressure, resistance and compliance of the artificial respiratory system. Methods The computational routine was responsible for establishing connections between devices and controlling them. Parameters such as tidal volume, respiratory rate and others can be set for standard and noisy ventilation regimes. Ventilation tests were performed directly varying parameters in the system. Readings from a calibrated measuring device were the basis for analysis. Adopting a first-order linear model, the parameters could be estimated and the outcomes statistically analysed. Results Data acquisition was effective in terms of sample frequency and low noise content. After filtering, cycle detection and estimation took place. Statistics of median, mean and standard deviation were calculated, showing consistent matching with adjusted values. Changes in positive end-expiratory pressure statistically imply changes in compliance, but not the opposite. Conclusion The developed system was satisfactory in terms of clinical parameters. Statistics exhibited consistent relations between adjusted and estimated values, besides precision of the measurements. The system is expected to be used in animals, with a view to better understand the benefits of noisy ventilation, by evaluating the estimated parameters and performing cross relations among blood gas, ultrasonography and electrical impedance tomography. |
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Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regimeNoisy ventilationRespiratory careMechanical ventilatorParameter estimationComplianceRespiratory system modelAbstract Introduction: This work concerns the assessment of a novel system for mechanical ventilation and a parameter estimation method in a bench test. The tested system was based on a commercial mechanical ventilator and a personal computer. A computational routine was developed do drive the mechanical ventilator and a parameter estimation method was utilized to estimate positive end-expiratory pressure, resistance and compliance of the artificial respiratory system. Methods The computational routine was responsible for establishing connections between devices and controlling them. Parameters such as tidal volume, respiratory rate and others can be set for standard and noisy ventilation regimes. Ventilation tests were performed directly varying parameters in the system. Readings from a calibrated measuring device were the basis for analysis. Adopting a first-order linear model, the parameters could be estimated and the outcomes statistically analysed. Results Data acquisition was effective in terms of sample frequency and low noise content. After filtering, cycle detection and estimation took place. Statistics of median, mean and standard deviation were calculated, showing consistent matching with adjusted values. Changes in positive end-expiratory pressure statistically imply changes in compliance, but not the opposite. Conclusion The developed system was satisfactory in terms of clinical parameters. Statistics exhibited consistent relations between adjusted and estimated values, besides precision of the measurements. The system is expected to be used in animals, with a view to better understand the benefits of noisy ventilation, by evaluating the estimated parameters and performing cross relations among blood gas, ultrasonography and electrical impedance tomography.Sociedade Brasileira de Engenharia Biomédica2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402015000400343Research on Biomedical Engineering v.31 n.4 2015reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.0581info:eu-repo/semantics/openAccessVictor Júnior,Marcus HenriqueForgiarini Junior,Luiz AlbertoKinjo,Toru MiyagiAmato,Marcelo Britto PassosYoneyama,TakashiTanaka,Harkieng2016-01-18T00:00:00Zoai:scielo:S2446-47402015000400343Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2016-01-18T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false |
dc.title.none.fl_str_mv |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
title |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
spellingShingle |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime Victor Júnior,Marcus Henrique Noisy ventilation Respiratory care Mechanical ventilator Parameter estimation Compliance Respiratory system model |
title_short |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
title_full |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
title_fullStr |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
title_full_unstemmed |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
title_sort |
Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime |
author |
Victor Júnior,Marcus Henrique |
author_facet |
Victor Júnior,Marcus Henrique Forgiarini Junior,Luiz Alberto Kinjo,Toru Miyagi Amato,Marcelo Britto Passos Yoneyama,Takashi Tanaka,Harki |
author_role |
author |
author2 |
Forgiarini Junior,Luiz Alberto Kinjo,Toru Miyagi Amato,Marcelo Britto Passos Yoneyama,Takashi Tanaka,Harki |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Victor Júnior,Marcus Henrique Forgiarini Junior,Luiz Alberto Kinjo,Toru Miyagi Amato,Marcelo Britto Passos Yoneyama,Takashi Tanaka,Harki |
dc.subject.por.fl_str_mv |
Noisy ventilation Respiratory care Mechanical ventilator Parameter estimation Compliance Respiratory system model |
topic |
Noisy ventilation Respiratory care Mechanical ventilator Parameter estimation Compliance Respiratory system model |
description |
Abstract Introduction: This work concerns the assessment of a novel system for mechanical ventilation and a parameter estimation method in a bench test. The tested system was based on a commercial mechanical ventilator and a personal computer. A computational routine was developed do drive the mechanical ventilator and a parameter estimation method was utilized to estimate positive end-expiratory pressure, resistance and compliance of the artificial respiratory system. Methods The computational routine was responsible for establishing connections between devices and controlling them. Parameters such as tidal volume, respiratory rate and others can be set for standard and noisy ventilation regimes. Ventilation tests were performed directly varying parameters in the system. Readings from a calibrated measuring device were the basis for analysis. Adopting a first-order linear model, the parameters could be estimated and the outcomes statistically analysed. Results Data acquisition was effective in terms of sample frequency and low noise content. After filtering, cycle detection and estimation took place. Statistics of median, mean and standard deviation were calculated, showing consistent matching with adjusted values. Changes in positive end-expiratory pressure statistically imply changes in compliance, but not the opposite. Conclusion The developed system was satisfactory in terms of clinical parameters. Statistics exhibited consistent relations between adjusted and estimated values, besides precision of the measurements. The system is expected to be used in animals, with a view to better understand the benefits of noisy ventilation, by evaluating the estimated parameters and performing cross relations among blood gas, ultrasonography and electrical impedance tomography. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402015000400343 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402015000400343 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2446-4740.0581 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
dc.source.none.fl_str_mv |
Research on Biomedical Engineering v.31 n.4 2015 reponame:Research on Biomedical Engineering (Online) instname:Sociedade Brasileira de Engenharia Biomédica (SBEB) instacron:SBEB |
instname_str |
Sociedade Brasileira de Engenharia Biomédica (SBEB) |
instacron_str |
SBEB |
institution |
SBEB |
reponame_str |
Research on Biomedical Engineering (Online) |
collection |
Research on Biomedical Engineering (Online) |
repository.name.fl_str_mv |
Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB) |
repository.mail.fl_str_mv |
||rbe@rbejournal.org |
_version_ |
1752126288246603776 |