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Breath monitoring,sleep disorder detection,and tracking using thin-film acoustic waves and open-source electronics

Nanotechnology and Precision Engineering 2022年第3期5卷 9-17页

作者： Jethro Vernon pep canyelles-pericas Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu Faculty of Engineering and Environment University of NorthumbriaNewcastle upon Tyne NE18STUnited Kingdom Department of Integrated Devices and Systems MESA+Institute for NanotechnologyUniversity of TwenteEnschede 7522 NBThe Netherlands

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 ***,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 *** 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 *** 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 *** applied open-source electronics and provided embedded computing characteristics for signal processing,data recognition,storage,and transmission of breath *** 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 *** in combination with embedded electronics makes a suitable platform for human breath monitoring and sleep disorder recognition.

关键词： Surface acoustic waves Sleep disorder Apnoea Open-source electronics Pattern recognition Piezoelectric thin film

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