NDLI: Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Gutierrez-Tobal, G.C. Alvarez, D. Gomez, J. del Campo, F. Hornero, R.
Copyright Year	2013
Description	Author affiliation: Biomed. Eng. Group, Univ. of Valladolid, Valladolid, Spain (Gutierrez-Tobal, G.C.; Alvarez, D.; Gomez, J.; Hornero, R.) \|\| Hosp. Univ. Rio Hortega in Valladolid, Valladolid, Spain (del Campo, F.)
Abstract	In this work, we analyze power spectral density (PSD) from single-channel airflow (AF) in the context of sleep apnea-hypopnea syndrome (SAHS) diagnosis. PSDs from SAHS-positive and SAHS-negative subjects were compared through Mann-Whitney test to find bands of interest. Thereby, we characterized three spectral bands $(B_{W1}-B_{W3})$ by their relative power $(P_{R1}-P_{R3})$ and established relationships with apneas and hypopneas. Then, the single and joint diagnostic ability of $P_{R1}-P_{R3}$ was assessed by means of K-nearest neighbours (KNN), Fisher's linear discriminant (FLD), and logistic regression (LR) classifiers. The KNN and LR models, obtained from $P_{R1}-P_{R3},$ showed the best diagnostic ability after a leave-one-out cross-validation procedure. 87.7%-84.2% accuracy and 0.799-0.853 area under receiver operating characteristics curve (AROC) were achieved, respectively. Our results suggest that the bands of interest we defined are related to apneas and hypopneas and, therefore, can be useful in SAHS diagnosis.
Starting Page	5021
Ending Page	5024
File Size	2119740
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep apnea Indexes Accuracy Logistics Correlation Artificial intelligence
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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