Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis-Reference-Cited by-同舟云学术

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

Published:2017-08 Issue:8 Volume:64 Page:1731-1741
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Qian Kun,Janott Christoph,Pandit Vedhas,Zhang Zixing,Heiser Clemens,Hohenhorst Winfried,Herzog Michael,Hemmert Werner,Schuller Bjorn

Funder

China Scholarship Council

European Union's Seventh Framework

Horizon 2020

ARIA-VALUSPA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/7981410/07605472.pdf?arnumber=7605472

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2. Identification of OSAHS patients based on ReliefF-mRMR feature selection;Physical and Engineering Sciences in Medicine;2023-10-25

3. AHI estimation of OSAHS patients based on snoring classification and fusion model;American Journal of Otolaryngology;2023-09

4. Automatic monitoring of obstructive sleep apnea based on multi-modal signals by phone and smartwatch;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Automatic identifying OSAHS patients and simple snorers based on Gaussian mixture models;Physiological Measurement;2023-04-01

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