3D detection of the central sleep apnoea syndrome
In polysomnography, an oronasal thermal airflow sensor and respiratory inductance plethysmography (RIP) belts at thorax and abdomen are used to detect central sleep apnoea. These sensors are uncomfortable to wear, can disturb the patient’s sleep, and data quality can be significantly di-minished if...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2017-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2017-0174 |
| _version_ | 1797848734319509504 |
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| author | Garn Heinrich Kohn Bernhard Wiesmeyr Christoph Dittrich Klaus Wimmer Markus Mandl Magdalena Kloesch Gerhard Boeck Marion Stefanic Andrijana Seidel Stefan |
| author_facet | Garn Heinrich Kohn Bernhard Wiesmeyr Christoph Dittrich Klaus Wimmer Markus Mandl Magdalena Kloesch Gerhard Boeck Marion Stefanic Andrijana Seidel Stefan |
| author_sort | Garn Heinrich |
| collection | DOAJ |
| description | In polysomnography, an oronasal thermal airflow sensor and respiratory inductance plethysmography (RIP) belts at thorax and abdomen are used to detect central sleep apnoea. These sensors are uncomfortable to wear, can disturb the patient’s sleep, and data quality can be significantly di-minished if a sensor slips off the patient. Contactless meas-urements would be a desirable alternative. We utilized a 3D time-of-flight sensor to monitor respiratory-related chest movements to decipher epochs of normal breathing and ap-noea in ten adult patients with a total of 467 apnoea events. Time-synchronized comparisons of 3D measurements of chest movements due to respiration to polysomnography signals from rip belts and nasal airflow proved that the 3D sensor provided largely equivalent results. This new tech-nique could support the diagnosis of central sleep apnoea and Cheyne-Stokes respiration. |
| first_indexed | 2024-04-09T18:32:21Z |
| format | Article |
| id | doaj.art-d66c542d7bcb4dca963b3bcf44ddc082 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-09T18:32:21Z |
| publishDate | 2017-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-d66c542d7bcb4dca963b3bcf44ddc0822023-04-11T17:07:15ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013282983310.1515/cdbme-2017-0174cdbme-2017-01743D detection of the central sleep apnoea syndromeGarn Heinrich0Kohn Bernhard1Wiesmeyr Christoph2Dittrich Klaus3Wimmer Markus4Mandl Magdalena5Kloesch Gerhard6Boeck Marion7Stefanic Andrijana8Seidel Stefan9AIT Austrian Institute of Technology GmbH, Donau-City-Strasse 1, A-1220 Vienna, AustriaAIT Austrian Institute of Technology GmbH, Donau-City-Strasse 1, A-1220 Wien, AustriaAIT Austrian Institute of Technology GmbH, Donau-City-Strasse 1, A-1220 Wien, AustriaAIT Austrian Institute of Technology GmbH, Donau-City-Strasse 1, A-1220 Wien, AustriaKepler University Clinic, Department of Neurology 2, Krankenhausstrasse 9, A-4021 Linz, AustriaKepler University Clinic, Department of Neurology 2, Krankenhausstrasse 9, A-4021 Linz, AustriaMedical University of Vienna, Department of Neurology, Waehringer Guertel 18-20, 1090 Wien, AustriaMedical University of Vienna, Department of Neurology, Waehringer Guertel 18-20, 1090 Wien, AustriaMedical University of Vienna, Department of Neurology, Waehringer Guertel 18-20, 1090 Wien, AustriaMedical University of Vienna, Department of Neurology, Waehringer Guertel 18-20, 1090 Wien, AustriaIn polysomnography, an oronasal thermal airflow sensor and respiratory inductance plethysmography (RIP) belts at thorax and abdomen are used to detect central sleep apnoea. These sensors are uncomfortable to wear, can disturb the patient’s sleep, and data quality can be significantly di-minished if a sensor slips off the patient. Contactless meas-urements would be a desirable alternative. We utilized a 3D time-of-flight sensor to monitor respiratory-related chest movements to decipher epochs of normal breathing and ap-noea in ten adult patients with a total of 467 apnoea events. Time-synchronized comparisons of 3D measurements of chest movements due to respiration to polysomnography signals from rip belts and nasal airflow proved that the 3D sensor provided largely equivalent results. This new tech-nique could support the diagnosis of central sleep apnoea and Cheyne-Stokes respiration.https://doi.org/10.1515/cdbme-2017-01743dcentral sleep apnoeacheyne-stokes breathing |
| spellingShingle | Garn Heinrich Kohn Bernhard Wiesmeyr Christoph Dittrich Klaus Wimmer Markus Mandl Magdalena Kloesch Gerhard Boeck Marion Stefanic Andrijana Seidel Stefan 3D detection of the central sleep apnoea syndrome Current Directions in Biomedical Engineering 3d central sleep apnoea cheyne-stokes breathing |
| title | 3D detection of the central sleep apnoea syndrome |
| title_full | 3D detection of the central sleep apnoea syndrome |
| title_fullStr | 3D detection of the central sleep apnoea syndrome |
| title_full_unstemmed | 3D detection of the central sleep apnoea syndrome |
| title_short | 3D detection of the central sleep apnoea syndrome |
| title_sort | 3d detection of the central sleep apnoea syndrome |
| topic | 3d central sleep apnoea cheyne-stokes breathing |
| url | https://doi.org/10.1515/cdbme-2017-0174 |
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