Spectral-Based Analysis of Progressive Dynamical Changes in the Fetal Heart Rate Signal During Labor by Using Empirical Mode Decomposition

被引:2
|
作者
Fuentealba, Patricio [1 ,2 ]
Illanes, Alfredo [1 ]
Ortmeier, Frank [1 ]
机构
[1] Otto Von Guericke Univ, Magdeburg, Germany
[2] Univ Austral Chile, Valdivia, Chile
关键词
INTRAPARTUM; GUIDELINES;
D O I
10.22489/CinC.2018.095
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this work, we propose to study the progressive fetal response along the fetal heart rate (FHR) signal by using empirical mode decomposition and time-varying spectral-based analysis. The main idea is to investigate if a particular FHR signal episode in the time-domain reflects dynamical changes in the frequency-domain that can help to assess the fetal condition. Results show that the spectral components associated with the neural sympathetic fetal reactivity exhibit significant spectral energy differences between normal and acidotic fetuses.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine
    Krupa, Niranjana
    Ali, Mohd M. A.
    Zahedi, Edmond
    Ahmed, Shuhaila
    Hassan, Fauziah M.
    BIOMEDICAL ENGINEERING ONLINE, 2011, 10
  • [22] Estimation of the foetal heart rate baseline based on singular spectrum analysis and empirical mode decomposition
    Lu, Yu
    Zhang, Xi
    Jing, Liwen
    Li, Xiaoqing
    Fu, Xianghua
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 112 : 126 - 135
  • [23] Fetal heart rate extraction from abdominal electrocardiograms through multivariate empirical mode decomposition
    Gupta, Praveen
    Sharma, K. K.
    Joshi, S. D.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2016, 68 : 121 - 136
  • [24] Direct Graphical Analysis of the Fetal Heart Rate Variability during Labor
    Mohydeen, Ali
    Bazzi, Oussama
    Moslem, Bassam
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ICABME), 2015, : 77 - 80
  • [25] Pathological speech signal analysis and classification using empirical mode decomposition
    Kaleem, Muhammad
    Ghoraani, Behnaz
    Guergachi, Aziz
    Krishnan, Sridhar
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2013, 51 (07) : 811 - 821
  • [26] Pathological speech signal analysis and classification using empirical mode decomposition
    Muhammad Kaleem
    Behnaz Ghoraani
    Aziz Guergachi
    Sridhar Krishnan
    Medical & Biological Engineering & Computing, 2013, 51 : 811 - 821
  • [27] Electrocardiogram Signal Analysis using Empirical Mode Decomposition and Hilbert Spectrum
    Paithane, A. N.
    Bormane, D. S.
    2015 INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING (ICPC), 2015,
  • [28] Terahertz signal analysis for biological tissues based on empirical mode decomposition
    Zhang, Rui
    Wu, Tong
    Zhao, Yuejin
    OPTIK, 2019, 183 : 906 - 911
  • [29] Analysis of Acoustic Signal Based on Modified Ensemble Empirical Mode Decomposition
    Kwon, Sundeok
    Cho, Sangjin
    TRANSACTIONS ON ENGINEERING TECHNOLOGIES: SPECIAL ISSUE OF THE WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE 2013, 2014, : 377 - 386
  • [30] Analysis of Foetal Heart Rate Variability Components by Means of Empirical Mode Decomposition
    Romano, M.
    Faiella, G.
    Clemente, F.
    Iuppariello, L.
    Bifulco, P.
    Cesarelli, M.
    XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016, 2016, 57 : 71 - 74