Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics
Apnoea, a major sleep disorder, affects many adults and causes several issues, such as fatigue, high blood pressure, liver conditions, increased risk of type II diabetes, and heart problems. Therefore, advanced monitoring and diagnosing tools of apnoea disorders are needed to facilitate better treat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2022-09-01
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| Series: | Nanotechnology and Precision Engineering |
| Online Access: | http://dx.doi.org/10.1063/10.0013471 |
| _version_ | 1811181263049981952 |
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| author | Jethro Vernon Pep Canyelles-Pericas Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu |
| author_facet | Jethro Vernon Pep Canyelles-Pericas Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu |
| author_sort | Jethro Vernon |
| collection | DOAJ |
| description | Apnoea, a major sleep disorder, affects many adults and causes several issues, such as fatigue, high blood pressure, liver conditions, increased risk of type II diabetes, and heart problems. Therefore, advanced monitoring and diagnosing tools of apnoea disorders are needed to facilitate better treatment, with advantages such as accuracy, comfort of use, cost effectiveness, and embedded computation capabilities to recognise, store, process, and transmit time series data. In this work we present an adaptation of our apnoea-Pi open-source surface acoustic wave (SAW) platform (Apnoea-Pi) to monitor and recognise apnoea in patients. The platform is based on a thin-film SAW device using bimorph ZnO and Al structures, including those fabricated as Al foils or plates, to achieve breath tracking based on humidity and temperature changes. We applied open-source electronics and provided embedded computing characteristics for signal processing, data recognition, storage, and transmission of breath signals. We show that the thin-film SAW device out-performed standard and off-the-shelf capacitive electronic sensors in terms of their response and accuracy for human breath-tracking purposes. This in combination with embedded electronics makes a suitable platform for human breath monitoring and sleep disorder recognition. |
| first_indexed | 2024-04-11T09:14:33Z |
| format | Article |
| id | doaj.art-0b20a0269cb84fe0ab91c1540afc0ff7 |
| institution | Directory Open Access Journal |
| issn | 2589-5540 |
| language | English |
| last_indexed | 2024-04-11T09:14:33Z |
| publishDate | 2022-09-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | Nanotechnology and Precision Engineering |
| spelling | doaj.art-0b20a0269cb84fe0ab91c1540afc0ff72022-12-22T04:32:23ZengAIP Publishing LLCNanotechnology and Precision Engineering2589-55402022-09-0153033002033002-910.1063/10.0013471Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronicsJethro Vernon0Pep Canyelles-Pericas1Hamdi Torun2Richard Binns3Wai Pang Ng4Qiang Wu5Yong-Qing Fu6Faculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomDepartment of Integrated Devices and Systems, MESA+ Institute for Nanotechnology, University of Twente, Enschede 7522 NB, The NetherlandsFaculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomFaculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomFaculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomFaculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomFaculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, United KingdomApnoea, a major sleep disorder, affects many adults and causes several issues, such as fatigue, high blood pressure, liver conditions, increased risk of type II diabetes, and heart problems. Therefore, advanced monitoring and diagnosing tools of apnoea disorders are needed to facilitate better treatment, with advantages such as accuracy, comfort of use, cost effectiveness, and embedded computation capabilities to recognise, store, process, and transmit time series data. In this work we present an adaptation of our apnoea-Pi open-source surface acoustic wave (SAW) platform (Apnoea-Pi) to monitor and recognise apnoea in patients. The platform is based on a thin-film SAW device using bimorph ZnO and Al structures, including those fabricated as Al foils or plates, to achieve breath tracking based on humidity and temperature changes. We applied open-source electronics and provided embedded computing characteristics for signal processing, data recognition, storage, and transmission of breath signals. We show that the thin-film SAW device out-performed standard and off-the-shelf capacitive electronic sensors in terms of their response and accuracy for human breath-tracking purposes. This in combination with embedded electronics makes a suitable platform for human breath monitoring and sleep disorder recognition.http://dx.doi.org/10.1063/10.0013471 |
| spellingShingle | Jethro Vernon Pep Canyelles-Pericas Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics Nanotechnology and Precision Engineering |
| title | Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics |
| title_full | Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics |
| title_fullStr | Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics |
| title_full_unstemmed | Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics |
| title_short | Breath monitoring, sleep disorder detection, and tracking using thin-film acoustic waves and open-source electronics |
| title_sort | breath monitoring sleep disorder detection and tracking using thin film acoustic waves and open source electronics |
| url | http://dx.doi.org/10.1063/10.0013471 |
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