Separation of the fetal heart signal in a synchronous network consisting of maternal and fetal hearts

被引:0
作者
Zandi-Mehran, N. [1 ]
Golpayegani, S. M. R. Hashemi [1 ]
机构
[1] Amirkabir Univ Technol, Dept Biomed Engn, Tehran 158754413, Iran
关键词
Fetal monitoring; Non-invasive; Feto-maternal; monitoring; Networks; Synchronization; Chaos; Signal separation; CHAOTIC DYNAMICS; ECG EXTRACTION; SYNCHRONIZATION; MODEL; OSCILLATORS; SYSTEM;
D O I
10.24200/sci.2021.57540.5292
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper studies the heart oscillation model to separate fetal ECG from maternal ECG based on abdominal recordings. To this end, two phases are designed. A modified version of the Duffing-Van der Pol oscillator is considered a computational heart model at the modeling phase. To evaluate the effect of the interaction between maternal and fetal hearts as well as the differences and features of the fetal heart structure, the fetal heart model is modified based on the maternal heart model. A non-identical network is employed as an interactive network of the maternal and fetal hearts. Then, the degree of network synchronization is measured using a pattern synchronization index of the nonidentical network. An attempt is made to separate the fetal signal from the maternal signal in abdominal signals at the separation phase. Two problem-solving approaches are explained: the step-by-step mode that calculates the signal at any given moment and the construction of general equations. These approaches are used to calculate the variables, including maternal and fetal signals, making it possible to separate the maternal ECG from fetal one. (c) 2023 Sharif University of Technology. All rights reserved.
引用
收藏
页码:577 / 591
页数:15
相关论文
共 78 条
  • [1] Fetal Cardiac Doppler Signal Processing Techniques: Challenges and Future Research Directions
    Alnuaimi, Saeed Abdulrahman
    Jimaa, Shihab
    Khandoker, Ahsan H.
    [J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2017, 5
  • [2] Agent-based models in translational systems biology
    An, Gary
    Mi, Qi
    Dutta-Moscato, Joyeeta
    Vodovotz, Yoram
    [J]. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 2009, 1 (02) : 159 - 171
  • [3] An assessment of the impact of wireless interferences on IoT emitter identification using Time Frequency representations and CNN
    Baldini, Gianmarco
    Giuliani, Raimondo
    [J]. 2019 GLOBAL IOT SUMMIT (GIOTS), 2019,
  • [4] Barlas Y, 1996, SYST DYNAM REV, V12, P183, DOI 10.1002/(SICI)1099-1727(199623)12:3<183::AID-SDR103>3.0.CO
  • [5] 2-4
  • [6] Behar J, 2013, COMPUT CARDIOL CONF, V40, P297
  • [7] The ''independent components'' of natural scenes are edge filters
    Bell, AJ
    Sejnowski, TJ
    [J]. VISION RESEARCH, 1997, 37 (23) : 3327 - 3338
  • [8] Synchronization in dynamical networks: Evolution along commutative graphs
    Boccaletti, S.
    Hwang, D. -U.
    Chavez, M.
    Amann, A.
    Kurths, J.
    Pecora, L. M.
    [J]. PHYSICAL REVIEW E, 2006, 74 (01):
  • [9] Agent-based modeling: Methods and techniques for simulating human systems
    Bonabeau, E
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 : 7280 - 7287
  • [10] Finite-Time Synchronization of Markovian Jumping Complex Networks with Non-Identical Nodes and Impulsive Effects
    Chen, Tao
    Peng, Shiguo
    Zhang, Zhenhua
    [J]. ENTROPY, 2019, 21 (08)