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  5. SpiroMask: measuring Lung function using consumer-grade masks
 
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SpiroMask: measuring Lung function using consumer-grade masks

Source
arXiv
Date Issued
2022-01-01
Abstract
According to the World Health Organisation (WHO), 235 million people suffer from respiratory illnesses and four million people die annually due to air pollution. Regular lung health monitoring can lead to prognoses about deteriorating lung health conditions. This paper presents our system SpiroMask that retrofits a microphone in consumer-grade masks (N95 and cloth masks) for continuous lung health monitoring. We evaluate our approach on 48 participants (including 14 with lung health issues) and find that we can estimate parameters such as lung volume and respiration rate within the approved error range by the American Thoracic Society (ATS). Further, we show that our approach is robust to sensor placement inside the mask.
URI
http://arxiv.org/abs/2201.09280
http://repository.iitgn.ac.in/handle/IITG2025/19826
Subjects
Human-Computer Interaction
Machine Learning
Lung Function
Consumer-Grade Masks
Spirometry
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