Apnoea-Pi: Sleep disorder monitoring with open-source electronics and acoustics

Vernon, Jethro, Canyelles-Pericas, Pep, Torun, Hamdi, Binns, Richard, Ng, Wai Pang and Fu, Yong Qing (2021) Apnoea-Pi: Sleep disorder monitoring with open-source electronics and acoustics. In: 2021 26th International Conference on Automation and Computing (ICAC). IEEE, Piscataway, NJ, pp. 1-5. ISBN 9781665443524, 9781860435577

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Official URL: https://doi.org/10.23919/ICAC50006.2021.9594073


Apnoea is a sleep disorder that affects an increasing number of adults causing harm from fatigue to a growing chance of heart problems. Apnoea disorders can be treated but advanced monitoring and diagnosing tools are needed to identify its strand and offer adequate treatment. Therefore, Apnoea tracking is vital to help keep patients healthy. Sleep Apnoea can cause a number of conditions such as fatigue, high blood pressure, liver functionality and an increased risk of type 2 diabetes. These complications make it necessary to monitor as many potential patients as possible by designing an instrument that is accurate, comfortable to use, fit for purpose, cost effective and with embedded computation capabilities to store, process and transmit time series data. In this work we present Apnoea-Pi, an adaptation of our Acousto-Pi open source surface acoustic wave platform to monitor Apnoea in patients using ultrasonic humidity sensing.

Item Type: Book Section
Additional Information: Funding Information: This research is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P018998/1, NetworkPlus in Digitalised Surface Manufacturing EP/S036180/1 and the Special Interests Group of Acoustofluidics under the EPSRC-funded UK Fluidic Network (EP/N032861/1).
Uncontrolled Keywords: apnoea, open-source electronics, pattern recognition, piezoelectric thin film, sleep disorder, Surface acoustic waves, time series identification
Subjects: G100 Mathematics
G400 Computer Science
G500 Information Systems
G600 Software Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 02 Feb 2022 11:31
Last Modified: 02 Feb 2022 11:45
URI: http://nrl.northumbria.ac.uk/id/eprint/48342

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