Analysis methods of short-term non-linear heart rate variability and their application in clinical medicine

被引:0
|
作者
Chi, Xianglin [1 ,2 ]
Zhou, Jianhua [3 ]
Shi, Ping [4 ]
Liu, Chengyu [5 ,6 ]
机构
[1] Department of Neurology, Weihai City Central Hospital Affiliated to Weifang Medical College, Weihai,264400, China
[2] Shandong University School of Medicine, Jinan,250012, China
[3] Department of Cardiology, Weihai City Central Hospital Affiliated to Weifang Medical College, Weihai,264400, China
[4] Graduate School, Clinical School, Weifang Medical College, Weifang,261053, China
[5] School of Information Science and Engineering, Shandong University, Jinan,250100, China
[6] Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne,NE1 4LP, United Kingdom
关键词
Time domain analysis - Fractal dimension - Frequency domain analysis - Clinical research - Heart;
D O I
10.7507/1001-5515.20160035
中图分类号
学科分类号
摘要
The linear analysis for heart rate variability (HRV), including time domain method, frequency domain method and time-frequency analysis, has reached a lot of consensus. The non-linear analysis has also been widely applied in biomedical and clinical researches. However, for non-linear HRV analysis, especially for short-term non-linear HRV analysis, controversy still exists, and a unified standard and conclusion has not been formed. This paper reviews and discusses three short-term non-linear HRV analysis methods (fractal dimension, entropy and complexity) and their principles, progresses and problems in clinical application in detail, in order to provide a reference for accurate application in clinical medicine. © 2016, Editorial Office of Journal of Biomedical Engineering. All right reserved.
引用
收藏
页码:193 / 200
相关论文
共 50 条
  • [1] Non-Linear Analysis of Heart Rate Variability
    German-Sallo, Z.
    [J]. INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, MEDITECH 2016, 2017, 59 : 173 - 176
  • [2] Comparison of methods for editing of ectopic beats in measurements of short-term non-linear heart rate dynamics
    Tarkiainen, Tuula H.
    Kuusela, Tom A.
    Tahvanainen, Kari U. O.
    Hartikainen, Juha E. K.
    Tiittanen, Pekka
    Timonen, Kirsi L.
    Vanninen, Esko J.
    [J]. CLINICAL PHYSIOLOGY AND FUNCTIONAL IMAGING, 2007, 27 (02) : 126 - 133
  • [3] Short- and long-term variations in non-linear dynamics of heart rate variability
    Kanters, JK
    Hojgaard, MV
    Agner, E
    HolsteinRathlou, NH
    [J]. CARDIOVASCULAR RESEARCH, 1996, 31 (03) : 400 - 409
  • [4] Short-term system imbalance forecast using linear and non-linear methods
    Balazs, Istvan
    Fodor, Attila
    Magyar, Attila
    [J]. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2024,
  • [5] Spot and Freight Rate Futures in the Tanker Shipping Market: Short-Term Forecasting with Linear and Non-Linear Methods
    von Spreckelsen, Christian
    von Mettenheim, Hans-Joerg
    Breitner, Michael H.
    [J]. OPERATIONS RESEARCH PROCEEDINGS 2012, 2014, : 247 - 252
  • [6] Role of the autonomic nervous system in generating non-linear dynamics in short-term heart period variability
    Porta, Alberto
    Guzzetti, Stefano
    Borroni, Ester
    Furlan, Raffaello
    Montano, Nicola
    Malliani, Alberto
    [J]. BIOMEDIZINISCHE TECHNIK, 2006, 51 (04): : 174 - 177
  • [7] Non-linear analysis of heart rate variability in patients with coronary heart disease
    Krstacic, G
    Krstacic, A
    Martinis, M
    Vargovic, E
    Knezevic, A
    Smalcelj, A
    Jembrek-Gostovic, M
    Gamberger, D
    Smuc, T
    [J]. COMPUTERS IN CARDIOLOGY 2002, VOL 29, 2002, 29 : 673 - 675
  • [8] Application of the Discriminant Analysis for Diagnostics of the Arterial Hypertension Analysis of Short-Term Heart Rate Variability Signals
    Kublanov, Vladimir
    Dolganov, Anton
    Borisov, Vasilii
    [J]. NEUROTECHNIX: PROCEEDINGS OF THE 4TH INTERNATIONAL CONGRESS ON NEUROTECHNOLOGY, ELECTRONICS AND INFORMATICS, 2016, : 45 - 52
  • [9] Short-term studies of heart rate variability: comparison of two methods for recording
    Migliaro, ER
    Canetti, R
    Contreras, P
    Hakas, M
    Eirea, G
    Machado, A
    [J]. PHYSIOLOGICAL MEASUREMENT, 2004, 25 (06) : N15 - N20
  • [10] Short and long term non-linear analysis of RR variability series
    Baselli, G
    Cerutti, S
    Porta, A
    Signorini, MG
    [J]. MEDICAL ENGINEERING & PHYSICS, 2002, 24 (01) : 21 - 32