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

Jethro Vernon; Pep Canyelles-Pericas; Hamdi Torun; Richard Binns; Wai Pang Ng; Yongqing (Richard) Fu

doi:10.23919/ICAC50006.2021.9594073

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

Jethro Vernon, Pep Canyelles-Pericas, Hamdi Torun, Richard Binns, Wai Pang Ng, Yongqing (Richard) Fu^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

100 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	2021 26th International Conference on Automation and Computing
Subtitle of host publication	System Intelligence through Automation and Computing, ICAC 2021
Editors	Chenguang Yang
Place of Publication	Piscataway
Publisher	IEEE
ISBN (Electronic)	9781860435577
ISBN (Print)	9781665443524
DOIs	https://doi.org/10.23919/ICAC50006.2021.9594073
Publication status	Published - 2 Sept 2021
Event	26th International Conference on Automation and Computing, ICAC 2021 - Portsmouth, United Kingdom Duration: 2 Sept 2021 → 4 Sept 2021

Conference

Conference	26th International Conference on Automation and Computing, ICAC 2021
Country/Territory	United Kingdom
City	Portsmouth
Period	2/09/21 → 4/09/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

apnoea
open-source electronics
pattern recognition
piezoelectric thin film
sleep disorder
Surface acoustic waves
time series identification

Access to Document

10.23919/ICAC50006.2021.9594073

2021221409Accepted author manuscript, 598 KB

Cite this

@inproceedings{d2013db9242446df94e6df3f7fa452c1,

title = "Apnoea-Pi: Sleep disorder monitoring with open-source electronics and acoustics",

abstract = "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. ",

keywords = "apnoea, open-source electronics, pattern recognition, piezoelectric thin film, sleep disorder, Surface acoustic waves, time series identification",

author = "Jethro Vernon and Pep Canyelles-Pericas and Hamdi Torun and Richard Binns and Ng, \{Wai Pang\} and Fu, \{Yongqing (Richard)\}",

note = "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).; 26th International Conference on Automation and Computing, ICAC 2021 ; Conference date: 02-09-2021 Through 04-09-2021",

year = "2021",

month = sep,

day = "2",

doi = "10.23919/ICAC50006.2021.9594073",

language = "English",

isbn = "9781665443524",

editor = "Chenguang Yang",

booktitle = "2021 26th International Conference on Automation and Computing",

publisher = "IEEE",

address = "United States",

}

Vernon, J, Canyelles-Pericas, P, Torun, H , Binns, R , Ng, WP & Fu, Y 2021, Apnoea-Pi: Sleep disorder monitoring with open-source electronics and acoustics. in C Yang (ed.), 2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021. IEEE, Piscataway, 26th International Conference on Automation and Computing, ICAC 2021, Portsmouth, United Kingdom, 2/09/21. https://doi.org/10.23919/ICAC50006.2021.9594073

Apnoea-Pi: Sleep disorder monitoring with open-source electronics and acoustics. / Vernon, Jethro; Canyelles-Pericas, Pep; Torun, Hamdi et al.
2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021. ed. / Chenguang Yang. Piscataway: IEEE, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Apnoea-Pi

T2 - 26th International Conference on Automation and Computing, ICAC 2021

AU - Vernon, Jethro

AU - Canyelles-Pericas, Pep

AU - Torun, Hamdi

AU - Binns, Richard

AU - Ng, Wai Pang

AU - Fu, Yongqing (Richard)

N1 - 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).

PY - 2021/9/2

Y1 - 2021/9/2

N2 - 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.

AB - 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.

KW - apnoea

KW - open-source electronics

KW - pattern recognition

KW - piezoelectric thin film

KW - sleep disorder

KW - Surface acoustic waves

KW - time series identification

UR - https://www.scopus.com/pages/publications/85123160652

U2 - 10.23919/ICAC50006.2021.9594073

DO - 10.23919/ICAC50006.2021.9594073

M3 - Conference contribution

AN - SCOPUS:85123160652

SN - 9781665443524

BT - 2021 26th International Conference on Automation and Computing

A2 - Yang, Chenguang

PB - IEEE

CY - Piscataway

Y2 - 2 September 2021 through 4 September 2021

ER -

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

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this