Sleep Apnea Detection With Respiratory Sounds

被引：0
|
作者：
Dogan, Bekir [1 ]
Olmez, Tamer [1 ]
机构：
[1] HAVELSAN AS, Ankara, Turkey
来源：
2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO) | 2015年
关键词：
Sleep Apnea; Respiratory Sounds;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
One of the important researches in healthcare is studies in sleep and sleep apnea. In this study the apnea is tried to be determined by the Polysomnography records of the patients. It is aimed to determine the apnea occurred during sleep with a very low error ratio. Thus, new decision supports systems to help the doctor on diagnosis is tried to be formed.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Detection of Post Apnea Sounds and Apnea Periods from Sleep Sounds
    Karci, Ersin
    Dogrusoz, Yesim Serinagaoglu
    Ciloglu, Tolga
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 6075 - 6078
  • [2] SLEEP APNEA DIAGNOSIS USING TRACHEAL RESPIRATORY SOUNDS AND MOVEMENT
    Saha, S.
    Kabir, M. M.
    Montazeri, N.
    Gavrilovic, B.
    Zhu, K.
    Alshaer, H.
    Yadollahi, A.
    SLEEP MEDICINE, 2019, 64 : S331 - S331
  • [3] Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning
    Wang, Bochun
    Tang, Xianwen
    Ai, Hao
    Li, Yanru
    Xu, Wen
    Wang, Xingjun
    Han, Demin
    NATURE AND SCIENCE OF SLEEP, 2022, 14 : 2033 - 2045
  • [4] Respiratory sound recordings for detection of sleep apnea
    Waldemark, K
    Agehed, K
    Lindblad, T
    NINTH WORKSHOP ON VIRTUAL INTELLIGENCE/DYNAMIC NEURAL NETWORKS: ACADEMIC/INDUSTRIAL/NASA/DEFENSE TECHNICAL INTERCHANGE AND TUTORIALS, 1999, 3728 : 408 - 431
  • [5] Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset
    Kim, Jeong-Whun
    Kim, Taehoon
    Shin, Jaeyoung
    Choel, Goun
    Lim, Hyun Jung
    Rhee, Chae-Seo
    Lee, Kyogu
    Cho, Sung-Woo
    CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY, 2019, 12 (01) : 72 - 78
  • [6] Detection of Apnea-Hypopnea Events Using Actigraphy and Sleep Sounds
    Rostek, Kornel
    ADVANCED SOLUTIONS IN DIAGNOSTICS AND FAULT TOLERANT CONTROL, 2018, 635 : 328 - 335
  • [7] Sleep Apnea Detection Using With EEG, ECG and Respiratory Signals
    Aksahin, Mehmet Feyzi
    Erdamar, Aykut
    Isik, Atakan
    Karaduman, Asena
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [8] Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea
    Van Steenkiste, Tom
    Groenendaal, Willemijn
    Ruyssinck, Joeri
    Dreesen, Pauline
    Klerkx, Susie
    Smeets, Christophe
    de Francisco, Ruben
    Deschrijver, Dirk
    Dhaene, Tom
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 449 - 452
  • [9] Accuracy of oximetry for detection of respiratory disturbances in sleep apnea syndrome
    Levy, P
    Pepin, JL
    DeschauxBlanc, C
    Paramelle, B
    Brambilla, C
    CHEST, 1996, 109 (02) : 395 - 399
  • [10] Continuous Respiratory Monitoring Device for Detection of Sleep Apnea Episodes
    Rotariu, Cristian
    Cristea, Ciprian
    Arotaritei, Dragos
    Bozomitu, Radu G.
    Pasarica, Alexandru
    2016 IEEE 22ND INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY AND ELECTRONIC PACKAGING (SIITME), 2016, : 106 - 109
12345