Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds
Loading...
Authors
Faezipour, Miad
Abuzneid, Abdelshakour
Issue Date
2020-10-01
Type
Article
Language
en_US
Keywords
E-health , Telemedicine , Home health monitoring , Technology , Sensor technology
Alternative Title
Abstract
Telemedicine could be a key to control the world-wide disruptive and spreading novel coronavirus disease (COVID-19) pandemic. The COVID-19 virus directly targets the lungs, leading to pneumonia-like symptoms and shortness of breath with life-threatening consequences. Despite the fact that self-quarantine and social distancing are indispensable during the pandemic, the procedure for testing COVID-19 contraction is conventionally available through nasal swabs, saliva test kits, and blood work at healthcare settings. Therefore, devising personalized self-testing kits for COVID-19 virus and other similar viruses is heavily admired. Many e-health initiatives have been made possible by the advent of smartphones with embedded software, hardware, high-performance computing, and connectivity capabilities. A careful review of breathing sounds and their implications in identifying breathing complications suggests that the breathing sounds of COVID-19 contracted users may reveal certain acoustic signal patterns, which is worth investigating. To this end, acquiring respiratory data solely from breathing sounds fed to the smartphone's microphone strikes as a very appealing resolution. The acquired breathing sounds can be analyzed using advanced signal processing and analysis in tandem with new deep/machine learning and pattern recognition techniques to separate the breathing phases, estimate the lung volume, oxygenation, and to further classify the breathing data input into healthy or unhealthy cases. The ideas presented have the potential to be deployed as self-test breathing monitoring apps for the ongoing global COVID-19 pandemic, where users can check their breathing sound pattern frequently through the app.
Description
Citation
Miad Faezipour and Abdelshakour Abuzneid.Telemedicine and e-Health.Oct 2020.1202-1205.http://doi.org.libproxy.bridgeport.edu/10.1089/tmj.2020.0114
Publisher
Mary Ann Liebert, Inc.