Intelligent Analysis of Premature Ventricular Contraction Based on Features and Random Forest

被引：12
|
作者：
Xie, Tiantian [1 ,2 ]
Li, Runchuan [1 ,2 ]
Shen, Shengya [3 ]
Zhang, Xingjin [1 ,2 ,4 ]
Zhou, Bing [1 ,2 ]
Wang, Zongmin [1 ,2 ]
机构：
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450000, Henan, Peoples R China
[2] Zhengzhou Univ, Cooperat Innovat Ctr Internet Healthcare, Zhengzhou 450000, Henan, Peoples R China
[3] Zhongyuan Univ Technol, Coll Informat & Business, Zhengzhou 450000, Henan, Peoples R China
[4] State Key Lab Math Engn & Adv Comp, Zhengzhou 450000, Henan, Peoples R China
来源：
JOURNAL OF HEALTHCARE ENGINEERING | 2019年 / 2019卷
基金：
中国国家自然科学基金;
关键词：
FUZZY NEURAL-NETWORK; WAVELET TRANSFORM; CLASSIFICATION; SELECTION;
D O I：
10.1155/2019/5787582
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
Premature ventricular contraction (PVC) is one of the most common arrhythmias in the clinic. Due to its variability and susceptibility, patients may be at risk at any time. The rapid and accurate classification of PVC is of great significance for the treatment of diseases. Aiming at this problem, this paper proposes a method based on the combination of features and random forest to identify PVC. The RR intervals (pre_RR and post_RR), R amplitude, and QRS area are chosen as the features because they are able to identify PVC better. The experiment was validated on the MIT-BIH arrhythmia database and achieved good results. Compared with other methods, the accuracy of this method has been significantly improved.
引用
收藏
页数：10
相关论文
共 50 条
  • [21] Premature ventricular contraction-induced cardiomyopathy
    Lee, Andrea K. Y.
    Deyell, Marc W.
    CURRENT OPINION IN CARDIOLOGY, 2016, 31 (01) : 1 - 10
  • [22] Ablation of Premature Ventricular Contraction with the Help of a Notch
    Ozcan, Firat
    Lu, Serkan Topalog
    Turak, Osman
    Cay, Serkan
    Aras, Dursun
    ARQUIVOS BRASILEIROS DE CARDIOLOGIA, 2014, 103 (04) : 55 - 56
  • [23] Impact of idiopathic premature ventricular contraction on the left ventricular function
    Yang Donghui
    Chen Tongfeng
    Yang Chuang
    Li Bo
    Shi Yongfeng
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2014, 64 (16) : C158 - C158
  • [24] DETECTION OF ORIGIN IN VENTRICULAR PREMATURE CONTRACTION BY ECHOCARDIOGRAPHY
    MATSUZAKI, H
    SUZUKI, N
    HORIKOSHI, J
    TANAKA, T
    ITO, N
    UKAI, K
    MACHII, K
    JAPANESE CIRCULATION JOURNAL-ENGLISH EDITION, 1988, 52 (09): : 1052 - 1053
  • [25] Premature Ventricular Contraction-Induced Cardiomyopathy
    Saurav, Alok
    Smer, Aiman
    Abuzaid, Ahmed
    Bansal, Ojas
    Abuissa, Hussam
    CLINICAL CARDIOLOGY, 2015, 38 (04) : 251 - 258
  • [26] Preoperative Analysis for Clinical Features of Unsuspected Gallbladder Cancer Based on Random Forest
    Zhang, Zhen
    Li, Na
    Gao, Hengyi
    Cai, Zhiqiang
    Si, Shubin
    Geng, Zhimin
    2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM), 2018, : 1160 - 1164
  • [27] Application of Intelligent Taste Analysis Based on Random Forest Algorithm in Food Quality Inspection
    Zhang, Xinghua
    Sun, Yongjie
    Sun, Yongxin
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [28] Lane change strategy analysis and recognition for intelligent driving systems based on random forest
    Sun, Qinyu
    Wang, Chang
    Fu, Rui
    Guo, Yingshi
    Yuan, Wei
    Li, Zhen
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 186
  • [29] EFFICACY OF VARIOUS ANTIARRHYTHMICS FOR VENTRICULAR PREMATURE CONTRACTION
    IIDA, N
    SUZUKI, T
    NEJIMA, J
    SAITO, T
    OSUGA, E
    IIDA, K
    MARUYAMA, J
    SATO, T
    HAYAKAWA, H
    JAPANESE CIRCULATION JOURNAL-ENGLISH EDITION, 1985, 49 (08): : 785 - 785
  • [30] Manifold Learning for Premature Ventricular Contraction Detection
    Ribeiro, B. R.
    Henirques, J. H.
    Marques, A. M.
    Antunes, M. A.
    COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2, 2008, : 917 - +
12345