An efficient method for snore/nonsnore classification of sleep sounds-Reference-Cited by-同舟云学术

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An efficient method for snore/nonsnore classification of sleep sounds

Published:2007-07-06 Issue:8 Volume:28 Page:841-853
ISSN:0967-3334
Container-title:Physiological Measurement
language:
Short-container-title:Physiol. Meas.

Author:

Cavusoglu M,Kamasak M,Erogul O,Ciloglu T,Serinagaoglu Y,Akcam T

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Reference22 articles.

1. Pitch jump probability measures for the analysis of snoring sounds in apnea

Cited by 76 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Snoring Sound Recognition Using Multi-Channel Spectrograms;Archives of Acoustics;2024-05-28

2. Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review;Journal of Thoracic Disease;2024-04

3. Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks;Applied Acoustics;2024-01

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

5. Automatic snoring detection using a hybrid 1D–2D convolutional neural network;Scientific Reports;2023-08-28

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