Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Speech as a Biomarker for Obstructive Sleep Apnea Detection

Abstract: 

Obstructive sleep apnea (OSA) is a prevalent sleep disorder, responsible for a decrease of people’s quality of life, and significant morbidity and mortality associated with hypertension and cardiovascular diseases. OSA is caused by anatomical and functional alterations in the upper airways, thus we hypothesize that the speech properties of OSA patients are altered, making it possible to detect OSA through voice analysis. To address this hypothesis, we collected speech recordings from 25 OSA subjects and 20 controls, designed a feature set, and compared different machine learning algorithms for binary classification. We achieved a True-Positive-Rate of 88% and a True-Negative-Rate of 80% with a majority vote ensemble of SVM, LDA and kNN classifiers. These results were validated with in-the-wild data acquired from Youtube. Moreover, the negative impact of sleep disorders on working memory was also shown by the results obtained in one of the recorded verbal tasks.

up
0 users have voted:

Paper Details

Authors:
M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva
Submitted On:
10 May 2019 - 12:55pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Catarina Botelho
Paper Code:
3465
Document Year:
2019
Cite

Document Files

Speech as a Biomarker for Obstructive Sleep Apnea Detection - Presentation Slides

(17)

Subscribe

[1] M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva, "Speech as a Biomarker for Obstructive Sleep Apnea Detection", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4373. Accessed: Jul. 19, 2019.
@article{4373-19,
url = {http://sigport.org/4373},
author = {M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva },
publisher = {IEEE SigPort},
title = {Speech as a Biomarker for Obstructive Sleep Apnea Detection},
year = {2019} }
TY - EJOUR
T1 - Speech as a Biomarker for Obstructive Sleep Apnea Detection
AU - M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4373
ER -
M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva. (2019). Speech as a Biomarker for Obstructive Sleep Apnea Detection. IEEE SigPort. http://sigport.org/4373
M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva, 2019. Speech as a Biomarker for Obstructive Sleep Apnea Detection. Available at: http://sigport.org/4373.
M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva. (2019). "Speech as a Biomarker for Obstructive Sleep Apnea Detection." Web.
1. M. Catarina Botelho; Isabel Trancoso; Alberto Abad; Teresa Paiva. Speech as a Biomarker for Obstructive Sleep Apnea Detection [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4373