These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 32721937)

  • 1. Amplitude spectrum trend-based feature for excitation location classification from snore sounds.
    Sun J; Hu X; Chen C; Peng S; Ma Y
    Physiol Meas; 2020 Sep; 41(8):085006. PubMed ID: 32721937
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Snoring classified: The Munich-Passau Snore Sound Corpus.
    Janott C; Schmitt M; Zhang Y; Qian K; Pandit V; Zhang Z; Heiser C; Hohenhorst W; Herzog M; Hemmert W; Schuller B
    Comput Biol Med; 2018 Mar; 94():106-118. PubMed ID: 29407995
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.
    Qian K; Janott C; Pandit V; Zhang Z; Heiser C; Hohenhorst W; Herzog M; Hemmert W; Schuller B
    IEEE Trans Biomed Eng; 2017 Aug; 64(8):1731-1741. PubMed ID: 28113249
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Apnea and Hypopnea Events Classification Using Amplitude Spectrum Trend Feature of Snores.
    Sun J; Hu X; Zhao Y; Sun S; Chen C; Peng S
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():6036-6039. PubMed ID: 30441712
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A New Feature with the Potential to Detect the Severity of Obstructive Sleep Apnoea via Snoring Sound Analysis.
    Hayashi S; Tamaoka M; Tateishi T; Murota Y; Handa I; Miyazaki Y
    Int J Environ Res Public Health; 2020 Apr; 17(8):. PubMed ID: 32344761
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic classification of excitation location of snoring sounds.
    Sun J; Hu X; Peng S; Peng CK; Ma Y
    J Clin Sleep Med; 2021 May; 17(5):1031-1038. PubMed ID: 33560203
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic classification of the obstruction site in obstructive sleep apnea based on snoring sounds.
    Liu Y; Feng Y; Li Y; Xu W; Wang X; Han D
    Am J Otolaryngol; 2022; 43(6):103584. PubMed ID: 36067537
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Snoring - An Acoustic Definition.
    Janott C; Rohrmeier C; Schmitt M; Hemmert W; Schuller B
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3653-3657. PubMed ID: 31946668
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial neural networks for breathing and snoring episode detection in sleep sounds.
    Emoto T; Abeyratne UR; Chen Y; Kawata I; Akutagawa M; Kinouchi Y
    Physiol Meas; 2012 Oct; 33(10):1675-89. PubMed ID: 22986469
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hidden Markov modelling of intra-snore episode behavior of acoustic characteristics of obstructive sleep apnea patients.
    Herath DL; Abeyratne UR; Hukins C
    Physiol Meas; 2015 Dec; 36(12):2379-404. PubMed ID: 26501965
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Low Level Texture Features for Snore Sound Discrimination.
    Demir F; Sengur A; Cummins N; Amiriparian S; Schuller B
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():413-416. PubMed ID: 30440421
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Obstructive sleep apnea screening by integrating snore feature classes.
    Abeyratne UR; de Silva S; Hukins C; Duce B
    Physiol Meas; 2013 Feb; 34(2):99-121. PubMed ID: 23343563
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Acoustics of snoring and automatic snore sound detection in children.
    Çavuşoğlu M; Poets CF; Urschitz MS
    Physiol Meas; 2017 Oct; 38(11):1919-1938. PubMed ID: 28871074
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Investigation of Critical Frequency Sub-bands of Snoring Sounds for OSA Diagnosis.
    Herath DL; Abeyratne UR; Hukins C; Markandeya MN
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2568-2571. PubMed ID: 31946421
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SnoreNet: Detecting Snore Events from Raw Sound Recordings.
    Sun J; Hu X; Zhao Y; Sun S; Chen C; Peng S
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4977-4981. PubMed ID: 31946977
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of substitution box of present cipher for automated detection of snoring sounds.
    Dogan S; Akbal E; Tuncer T; Acharya UR
    Artif Intell Med; 2021 Jul; 117():102085. PubMed ID: 34127246
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Snoring sound classification from respiratory signal.
    Shokrollahi M; Saha S; Hadi P; Rudzicz F; Yadollahi A
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3215-3218. PubMed ID: 28268992
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An OSAHS evaluation method based on multi-features acoustic analysis of snoring sounds.
    Jiang Y; Peng J; Song L
    Sleep Med; 2021 Aug; 84():317-323. PubMed ID: 34217922
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review.
    Qian K; Janott C; Schmitt M; Zhang Z; Heiser C; Hemmert W; Yamamoto Y; Schuller BW
    IEEE J Biomed Health Inform; 2021 Apr; 25(4):1233-1246. PubMed ID: 32750978
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bag of Wavelet Features for Snore Sound Classification.
    Qian K; Schmitt M; Janott C; Zhang Z; Heiser C; Hohenhorst W; Herzog M; Hemmert W; Schuller B
    Ann Biomed Eng; 2019 Apr; 47(4):1000-1011. PubMed ID: 30701397
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.