Mobile Apnea Screening System for at-home Recording and Analysis of Sleep Apnea Severity.

Mathias P. Bonnesen, Helge B.D. Sorensen, Poul Jennum

1 Citation (Scopus)

Abstract

Obstructive Sleep Apnea (OSA) is a common sleep disorder affecting >10\% of the middle-aged population. The gold standard diagnostic procedure is the Polysomnography (PSG), which is both costly and time consuming. A simple and non-expensive screening therefore would be of great value. This study presents a novel at-home screening method for OSA using a smartphone, a microphone and a modified armband, to measure continuous biological signals during a whole night sleep. A signal-processing algorithm was used to classify the subjects, into classes according to severity of the disorder. The system was validated by conducting a routine sleep study parallel to the data acquisition on a total of 23 subjects. Both binary and 4-class classification problems were tested. The binary classifications showed the best results with sensitiv- ities between 92.3 % and 100 %, and accuracies between 78.3 % and 91.3 %. The 4-class classification was not as successful with a sensitivity of 75 %, and accuracies of 56.5 % and 60 %. We conclude that mobile smartphone technology has a potential for OSA ambulatory screening.

Original languageEnglish
Title of host publication2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Number of pages4
PublisherIEEE
Publication date2018
Pages457-460
ISBN (Print)978-1-5386-3647-3
ISBN (Electronic)978-1-5386-3646-6, 978-1-5386-3645-9
DOIs
Publication statusPublished - 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 18 Jul 201821 Jul 2018

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period18/07/201821/07/2018
SeriesProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN1557-170X

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