EVALUATION OF A SOUND-BASED DEEP LEARNING MODEL FOR HOME- BASED OBSTRUCTIVE SLEEP APNEA DETECTION USING LEVEL 2 HOME PSG DATA

被引：0
作者：
Vu Linh Le
Hong, Jaden
Jung, Jinhwan
Cho, Eunsung
Keum, Moonsik
Lee, Dongheon
Yoon, In-Young
Kim, Jeong-Whun
Kushida, Clete A.
Kim, Daewoo
机构：
来源：
CHEST | 2023年 / 164卷 / 04期
关键词：
D O I：
10.1016/j.chest.2023.07.4049
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
引用
收藏
页码：6291A / 6292A
页数：2
相关论文
共 50 条
  • [1] EVALUATION OF A SOUND-BASED, DEEP-LEARNING MODEL WITH POLYSOMNOGRAPHY IN A PATIENT WITH OBSTRUCTIVE SLEEP APNEA USING POSITIVE AIRWAY PRESSURE THERAPY
    Lee, Taeyoung
    Cha, Kwang Su
    Kim, Seunghun
    Keum, Moonsik
    Sim, Ahrum
    Kim, Daewoo
    Lee, Dongheon
    Kushida, Clete A.
    Kim, Jeong-Whun
    Cho, Younghoon
    [J]. CHEST, 2023, 164 (04) : 6346A - 6347A
  • [2] In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography
    Han, Seung Cheol
    Kim, Daewoo
    Rhee, Chae-Seo
    Cho, Sung-Woo
    Le, Vu Linh
    Cho, Eun Sung
    Kim, Hyunggug
    Yoon, In-Young
    Jang, Hyeryung
    Hong, Joonki
    Lee, Dongheon
    Kim, Jeong-Whun
    [J]. JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2024, 150 (01) : 22 - 29
  • [3] Towards automatic home-based sleep apnea estimation using deep learning
    Retamales, Gabriela
    Gavidia, Marino E.
    Bausch, Ben
    Montanari, Arthur N.
    Husch, Andreas
    Goncalves, Jorge
    [J]. NPJ DIGITAL MEDICINE, 2024, 7 (01):
  • [4] SCREENING FOR OBSTRUCTIVE SLEEP APNEA AT HOME BASED ON DEEP LEARNING FEATURES DERIVED FROM RESPIRATION SOUNDS
    Romero, H. E.
    Ma, N.
    Hill, E. A.
    Brown, G. F.
    [J]. SLEEP, 2020, 43 : A219 - A220
  • [5] 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
    [J]. NATURE AND SCIENCE OF SLEEP, 2022, 14 : 2033 - 2045
  • [6] Acoustic Screening for Obstructive Sleep Apnea in Home Environments Based on Deep Neural Networks
    Romero, Hector E.
    Ma, Ning
    Brown, Guy J.
    Hill, Elizabeth A.
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (07) : 2941 - 2950
  • [7] Deep-learning based sleep apnea detection using sleep sound, SpO2, and pulse rate
    Singtothong C.
    Siriborvornratanakul T.
    [J]. International Journal of Information Technology, 2024, 16 (8) : 4869 - 4874
  • [8] Evaluation of Laboratory Polysomnography (PSG) vs Home Based Sleep Studies in the Diagnosis of Sleep Apnea-Hypopnea (OSAH).
    Ferreira, S. A.
    Esteves, I.
    Nogueira, C.
    Ferreira, D.
    Ferreira, D. S.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2009, 179
  • [9] ENHANCING BOTH SLEEP STAGE CLASSIFICATION AND OBSTRUCTIVE SLEEP APNEA EVENT DETECTION TASKS WITH A UNIFIED SOUND-BASED MULTI-TASK MODEL
    Le, V. L.
    Kim, J.
    Cho, E.
    Lee, D.
    Hong, J.
    Kim, D.
    Lee, M.
    Moon, S. H.
    Kushida, C.
    Kim, J. -W.
    Yoon, I. -Y.
    [J]. SLEEP MEDICINE, 2024, 115 : 102 - 103
  • [10] An Economic Evaluation of Home Versus Laboratory-Based Diagnosis of Obstructive Sleep Apnea
    Kim, Richard D.
    Kapur, Vishesh K.
    Redline-Bruch, Julie
    Rueschman, Michael
    Auckley, Dennis H.
    Benca, Ruth M.
    Foldvary-Schafer, Nancy R.
    Iber, Conrad
    Zee, Phyllis C.
    Rosen, Carol L.
    Redline, Susan
    Ramsey, Scott D.
    [J]. SLEEP, 2015, 38 (07) : 1027 - 1037
12345