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Detection of sleep breathing sound based on artificial neural network analysis

  • Published:2018-03 Issue: Volume:41 Page:81-89
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Emoto Takahiro,Abeyratne Udantha R.,Kawano Kenichiro,Okada Takuya,Jinnouchi Osamu,Kawata Ikuji

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI

Australian Research Council

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference42 articles.

Cited by 25 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. Recent Trends in Human Breathing Detection Using Radar, WiFi and Acoustics;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

2. A Classification Method Related to Respiratory Disorder Events Based on Acoustical Analysis of Snoring;Archives of Acoustics;2023-07-26

3. Sleep Snoring Sound Recognition Based on Wavelet Packet Transform;Archives of Acoustics;2023-07-26

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

5. Sleep Disorder Detection through PSD-Based Short-Time Frequency Analysis of Electrocardiogram Signal;2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP);2023-03-04
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