Mock loop for bubble generation in a centrifugal blood pump for fault simulation
In extracorporeal blood circulation intensive care treatments, the occurrence of gas within the circulation is one known major hazard. This gas volume can cause severe harm to the patient like infarctions. Consequently, within risk assessment for these treatments gas bubbles are usually addressed by...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2018-09-01
|
| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2018-0009 |
| _version_ | 1797740466643402752 |
|---|---|
| author | Stollenwerk André Buglowski Mateusz Kühn Jan |
| author_facet | Stollenwerk André Buglowski Mateusz Kühn Jan |
| author_sort | Stollenwerk André |
| collection | DOAJ |
| description | In extracorporeal blood circulation intensive care treatments, the occurrence of gas within the circulation is one known major hazard. This gas volume can cause severe harm to the patient like infarctions. Consequently, within risk assessment for these treatments gas bubbles are usually addressed by either constructive or signal based approaches. All signal-based approaches do have in common that they need a sufficient amount of data to be parameterized. These data can only be acquired in animal trials or laboratory experiments, as they could result in harm to patients. Hence, we designed a mock loop, which is automatically able to create annotated data of gas bubbles injected into an extracorporeal circulation. We were able to run this setup with a periodicity of 15 seconds, which results in 240 annotated measurements per hour. For the evaluation, we created 1095 bubbles of varying sizes (0.3 to 0.5 ml). The elaborated setup enables us to produce a great amount of annotated data, which is shown to be comparable to manually generated data in a convenient and fully automated manner. |
| first_indexed | 2024-03-12T14:12:51Z |
| format | Article |
| id | doaj.art-aa8fbb5ed3aa40d69d223553f70f2b27 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-03-12T14:12:51Z |
| publishDate | 2018-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-aa8fbb5ed3aa40d69d223553f70f2b272023-08-21T06:42:01ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-0141333610.1515/cdbme-2018-0009cdbme-2018-0009Mock loop for bubble generation in a centrifugal blood pump for fault simulationStollenwerk André0Buglowski Mateusz1Kühn Jan2Informatik 11 – Embedded Software, RWTH Aachen University, Ahornstraße 55, 52074Aachen, GermanyInformatik 11 – Embedded Software RWTH Aachen University,Aachen, GermanyInformatik 11 – Embedded Software RWTH Aachen University,Aachen, GermanyIn extracorporeal blood circulation intensive care treatments, the occurrence of gas within the circulation is one known major hazard. This gas volume can cause severe harm to the patient like infarctions. Consequently, within risk assessment for these treatments gas bubbles are usually addressed by either constructive or signal based approaches. All signal-based approaches do have in common that they need a sufficient amount of data to be parameterized. These data can only be acquired in animal trials or laboratory experiments, as they could result in harm to patients. Hence, we designed a mock loop, which is automatically able to create annotated data of gas bubbles injected into an extracorporeal circulation. We were able to run this setup with a periodicity of 15 seconds, which results in 240 annotated measurements per hour. For the evaluation, we created 1095 bubbles of varying sizes (0.3 to 0.5 ml). The elaborated setup enables us to produce a great amount of annotated data, which is shown to be comparable to manually generated data in a convenient and fully automated manner.https://doi.org/10.1515/cdbme-2018-0009mock loopbubble detectionextracorporeal circulationannotated data |
| spellingShingle | Stollenwerk André Buglowski Mateusz Kühn Jan Mock loop for bubble generation in a centrifugal blood pump for fault simulation Current Directions in Biomedical Engineering mock loop bubble detection extracorporeal circulation annotated data |
| title | Mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| title_full | Mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| title_fullStr | Mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| title_full_unstemmed | Mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| title_short | Mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| title_sort | mock loop for bubble generation in a centrifugal blood pump for fault simulation |
| topic | mock loop bubble detection extracorporeal circulation annotated data |
| url | https://doi.org/10.1515/cdbme-2018-0009 |
| work_keys_str_mv | AT stollenwerkandre mockloopforbubblegenerationinacentrifugalbloodpumpforfaultsimulation AT buglowskimateusz mockloopforbubblegenerationinacentrifugalbloodpumpforfaultsimulation AT kuhnjan mockloopforbubblegenerationinacentrifugalbloodpumpforfaultsimulation |