Machine learning model using heart rate variability for the prediction of vasovagal syncope

被引：0
|
作者：
Cho, J. H. [1 ]
机构：
[1] Chung Ang Univ, Gwangmyeong Hosp, Seoul, South Korea
来源：
EUROPEAN HEART JOURNAL | 2024年 / 45卷
关键词：
D O I：
10.1093/eurheartj/ehae666.3457
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：1
相关论文
共 50 条
  • [21] Postural Heart Rate Changes in Young Patients With Vasovagal Syncope
    Medow, Marvin S.
    Merchant, Sana
    Suggs, Melissa
    Terilli, Courtney
    O'Donnell-Smith, Breige
    Stewart, Julian M.
    PEDIATRICS, 2017, 139 (04)
  • [22] Spectral analysis of heart rate variability during tilt-table testing in patients with vasovagal syncope
    Kochiadakis, GE
    Kanoupakis, EM
    Igoumenidis, NE
    Marketou, ME
    Solomou, MC
    Vardas, PE
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 1998, 64 (02) : 185 - 194
  • [23] Differentiating between patients with vasovagal syncope using the analysis of heart rate variability during head-up tilt test
    Khodor, Nadine
    Amoud, Hassan
    Khalil, Mohamad
    Khodor, Nadine
    Matelot, David
    Hernandez, Alfredo
    Carrault, Guy
    Carre, Francois
    2013 FIRST INTERNATIONAL CONFERENCE ON COMMUNICATIONS SIGNAL PROCESSING, AND THEIR APPLICATIONS (ICCSPA'13), 2013,
  • [24] The attempt of swallowing discrimination by heart rate variability using machine learning
    Egashira, Yosuke
    Bando, Shizuka
    Oiwa, Kosuke
    Nozawa, Akio
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2017, 12 : S137 - S138
  • [25] Machine learning model for aberrant driving behaviour prediction using heart rate variability: a pilot study involving highway bus drivers
    Tsai, Cheng-Yu
    Majumdar, Arnab
    Wang, Yija
    Hsu, Wen-Hua
    Kang, Jiunn-Horng
    Lee, Kang-Yun
    Tseng, Chien-Hua
    Kuan, Yi-Chun
    Lee, Hsin-Chien
    Wu, Cheng-Jung
    Houghton, Robert
    Cheong, He-in
    Manole, Iulia
    Lin, Yin-Tzu
    Li, Lok-Yee Joyce
    Liu, Wen-Te
    INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2022, : 1429 - 1439
  • [26] Syncope recurrence and long-term heart rate variability after cardioneuroablation for vasovagal syncope: a systematic review and meta-analysis
    Vandenberk, B.
    Lei, L. Y.
    Ballantyne, B.
    Vickers, D.
    Liang, Z.
    Sheldon, R. S.
    Chew, D. S.
    Aksu, T.
    Raj, S. R.
    Morillo, C. A.
    EUROPEAN HEART JOURNAL, 2022, 43 : 655 - 655
  • [27] Optimal Length of Heart Rate Variability Data and Forecasting Time for Ventricular Fibrillation Prediction Using Machine Learning
    Jeong, Da Un
    Taye, Getu Tadele
    Hwang, Han-Jeong
    Lim, Ki Moo
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2021, 2021
  • [28] Autonomic control of heart rate variability in vasovagal syncope: a study of the nighttime period in 24-hour recordings
    Lagi, A
    Tamburini, C
    Fattorini, L
    Cencetti, S
    CLINICAL AUTONOMIC RESEARCH, 1999, 9 (04) : 179 - 183
  • [29] Frequency Domain Indices of Heart Rate Variability are Useful for Differentiating Vasovagal Syncope and Postural Tachycardia Syndrome in Children
    Wang, Yuanyuan
    Zhang, Chunyu
    Chen, Selena
    Li, Xueying
    Jin, Hongfang
    Du, Junbao
    JOURNAL OF PEDIATRICS, 2019, 207 : 59 - 63
  • [30] A Model of Judging Age by Heart Rate Variability Based on Machine Learning Methods
    He, Zhendong
    Qiu, Bo
    Shen, Dai
    Zheng, Zipeng
    Li, Mengci
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 54 - 54
12345