Model predictive control approach for a CPAP-device
The obstructive sleep apnoea syndrome (OSAS) is characterized by a collapse of the upper respiratory tract, resulting in a reduction of the blood oxygen- and an increase of the carbon dioxide (CO2) - concentration, which causes repeated sleep disruptions. The gold standard to treat the OSAS is the c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2017-0065 |
| _version_ | 1797848768476872704 |
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| author | Scheel Mathias Berndt Andreas Simanski Olaf |
| author_facet | Scheel Mathias Berndt Andreas Simanski Olaf |
| author_sort | Scheel Mathias |
| collection | DOAJ |
| description | The obstructive sleep apnoea syndrome (OSAS) is characterized by a collapse of the upper respiratory tract, resulting in a reduction of the blood oxygen- and an increase of the carbon dioxide (CO2) - concentration, which causes repeated sleep disruptions. The gold standard to treat the OSAS is the continuous positive airway pressure (CPAP) therapy. The continuous pressure keeps the upper airway open and prevents the collapse of the upper respiratory tract and the pharynx. Most of the available CPAP-devices cannot maintain the pressure reference [1]. In this work a model predictive control approach is provided. This control approach has the possibility to include the patient’s breathing effort into the calculation of the control variable. Therefore a patient-individualized control strategy can be developed. |
| first_indexed | 2024-04-09T18:32:41Z |
| format | Article |
| id | doaj.art-1875c0cd68ab4b71bff78d8d12fe4d77 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-09T18:32:41Z |
| publishDate | 2017-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-1875c0cd68ab4b71bff78d8d12fe4d772023-04-11T17:07:13ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013231331610.1515/cdbme-2017-0065cdbme-2017-0065Model predictive control approach for a CPAP-deviceScheel Mathias0Berndt Andreas1Simanski Olaf2HOFFRICHTER GmbH Schwerin, Germany, Automation and Mechatronics Group - Hochschule Wismar HOFFRICHTER GmbH Schwerin, Mettenheimerstraße 12, 19061 Schwerin. GermanyAutomation and Mechatronics Group Hochschule Wismar, Germany The obstructive sleep apnoea syndrome (OSAS) is characterized by a collapse of the upper respiratory tract, resulting in a reduction of the blood oxygen- and an increase of the carbon dioxide (CO2) - concentration, which causes repeated sleep disruptions. The gold standard to treat the OSAS is the continuous positive airway pressure (CPAP) therapy. The continuous pressure keeps the upper airway open and prevents the collapse of the upper respiratory tract and the pharynx. Most of the available CPAP-devices cannot maintain the pressure reference [1]. In this work a model predictive control approach is provided. This control approach has the possibility to include the patient’s breathing effort into the calculation of the control variable. Therefore a patient-individualized control strategy can be developed.https://doi.org/10.1515/cdbme-2017-0065cpapsleep apnoeasystem modelingmodel predictive controlfluid mechanics |
| spellingShingle | Scheel Mathias Berndt Andreas Simanski Olaf Model predictive control approach for a CPAP-device Current Directions in Biomedical Engineering cpap sleep apnoea system modeling model predictive control fluid mechanics |
| title | Model predictive control approach for a CPAP-device |
| title_full | Model predictive control approach for a CPAP-device |
| title_fullStr | Model predictive control approach for a CPAP-device |
| title_full_unstemmed | Model predictive control approach for a CPAP-device |
| title_short | Model predictive control approach for a CPAP-device |
| title_sort | model predictive control approach for a cpap device |
| topic | cpap sleep apnoea system modeling model predictive control fluid mechanics |
| url | https://doi.org/10.1515/cdbme-2017-0065 |
| work_keys_str_mv | AT scheelmathias modelpredictivecontrolapproachforacpapdevice AT berndtandreas modelpredictivecontrolapproachforacpapdevice AT simanskiolaf modelpredictivecontrolapproachforacpapdevice |