Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques

被引:0
|
作者
Taehoon Kim
Jeong-Whun Kim
Kyogu Lee
机构
[1] Seoul National University,Music and Audio Research Group, Graduate School of Convergence Science and Technology
[2] Seoul National University College of Medicine,Department of Otorhinolaryngology, Seoul National University Bundang Hospital
关键词
Sleep disordered breathing; Acoustic biomarker; Deep neural network; Polysomnography screening test; Apnea–hypopnea index;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Comparison of two biomarkers to assess severity of pediatric sleep disordered breathing
    Evangelisti, Melania
    Barreto, Mario
    Del Pozzo, Marco
    Villa, Maria Pia
    EUROPEAN RESPIRATORY JOURNAL, 2017, 50
  • [42] The correlation between pharyngeal narrowing and the severity of sleep-disordered breathing
    Kim, Hyo Yeol
    Bok, Kwon Hyo
    Dhong, Hun-Jong
    Chung, Seung-Kyu
    OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2008, 138 (03) : 289 - 293
  • [43] Craniofacial photography and association with sleep-disordered breathing severity in children
    Kate Sutherland
    Aidan J Weichard
    Margot J Davey
    Rosemary SC Horne
    Peter A Cistulli
    Gillian M Nixon
    Sleep and Breathing, 2020, 24 : 1173 - 1179
  • [44] PEDIATRIC OSA ASSESSMENT TOOL TO PREDICT SEVERITY OF SLEEP DISORDERED BREATHING
    Bertschy, Calli
    Abdallah, Tarek
    Majid, Ruckshanda
    Sargsyan, Lilit
    Mathew, Reeba
    SLEEP, 2024, 47
  • [45] No association of the severity of sleep disordered breathing with the progression of multiple system atrophy
    Nakayama, H
    Ozawa, T
    Shinoda, H
    Shimohata, T
    Watanabe, T
    Sakai, K
    Yoshizawa, H
    Nishizawa, W
    Gejyo, F
    SLEEP, 2005, 28 : A188 - A189
  • [46] Craniofacial photography and association with sleep-disordered breathing severity in children
    Sutherland, Kate
    Weichard, Aidan J.
    Davey, Margot J.
    Horne, Rosemary S. C.
    Cistulli, Peter A.
    Nixon, Gillian M.
    SLEEP AND BREATHING, 2020, 24 (03) : 1173 - 1179
  • [47] Work of Breathing Estimation during Spontaneous Breathing Test using Machine Learning Techniques
    Buitrago Castro, Luis Felipe
    Enriquez Santacruz, Luis Fernando
    Salazar Sanchez, Maria Bernarda
    2020 IEEE COLOMBIAN CONFERENCE ON APPLICATIONS OF COMPUTATIONAL INTELLIGENCE (IEEE COLCACI 2020), 2020,
  • [48] Tracheal sound analysis for detection of sleep disordered breathing: A comparison to detection using anoronasal thermistor
    Glos, Martin
    Sabil, AbdelKebir
    Jelavic, Katharina Sophie
    Baffet, Guillaume
    Schoebel, Christoph
    Fietze, Ingo
    Penzel, Thomas
    SOMNOLOGIE, 2019, 23 (02): : 80 - 85
  • [49] Diagnosis of sleep disordered breathing in post-stroke population using a portable acoustic device
    Ryan, C.
    Wilton, K.
    Bradley, T. D.
    Alshaer, H.
    INTERNATIONAL JOURNAL OF STROKE, 2015, 10 : 77 - 77
  • [50] Can machine learning techniques help for classification of obstructive sleep apnea severity
    Bozkurt, S.
    Bostanci, A.
    Turhan, M.
    JOURNAL OF SLEEP RESEARCH, 2016, 25 : 252 - 252