Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.

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Abstract

Obstructive sleep apnea (OSA) is a serious chronic disease and a risk factor for cardiovascular diseases. Snoring is a typical symptom of OSA patients. Knowledge of the origin of obstruction and vibration within the upper airways is essential for a targeted surgical approach. Aim of this paper is to systematically compare different acoustic features, and classifiers for their performance in the classification of the excitation location of snore sounds.

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Journal

Journal ID (iso-abbrev): IEEE Trans Biomed Eng

Title: IEEE transactions on bio-medical engineering

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Electronic): 1558-2531

ISSN (Print): 0018-9294

Publication date (Electronic): August 2017

Volume: 64

Issue: 8

Affiliations

[1 ] Machine Intelligence and Signal Processing Group, MMK, Technische Universität München, Munich, Germany.

[2 ] Institute for Medical EngineeringTechnische Universität München.

[3 ] Chair of Complex and Intelligent SystemsUniversity of Passau.

[4 ] Department of Otorhinolaryngology/Head and Neck SurgeryTechnische Universität München.

[5 ] Clinic for ENT Medicine, Head and Neck SurgeryAlfried Krupp Krankenhaus.

[6 ] Clinic for ENT Medicine, Head and Neck SurgeryCarl-Thiem-Klinikum Cottbus.

[7 ] Department of ComputingImperial College London.

Article

Publisher Item ID: 7605472

DOI: 10.1109/TBME.2016.2619675

PubMed ID: 28113249

SO-VID: 6d3dc17d-0c75-488a-ba6e-1f35074ebf3d

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