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

作　　者：Jethro Vernon Pep Canyelles-Pericas Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu 

机构地区：[1]Faculty of Engineering and Environment,University of Northumbria,Newcastle upon Tyne NE18ST,United Kingdom [2]Department of Integrated Devices and Systems,MESA+Institute for Nanotechnology,University of Twente,Enschede 7522 NB,The Netherlands

出　　处：《Nanotechnology and Precision Engineering》2022年第3期9-17,共9页纳米技术与精密工程（英文）

基　　金：financially supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/P018998/1;the UK Fluidic Network Special Interest Group of Acoustofluidics (EP/N032861/1).

摘　　要：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.

关 键 词：Surface acoustic waves Sleep disorder APNOEA Open-source electronics Pattern recognition Piezoelectric thin film 

分 类 号：R740[医药卫生—神经病学与精神病学] TN65[医药卫生—临床医学]