Efficient syncope prediction from resting state clinical data using wavelet bispectrum and multilayer perceptron neural network-Reference-Cited by-同舟云学术

Efficient syncope prediction from resting state clinical data using wavelet bispectrum and multilayer perceptron neural network

Published:2021-05-06 Issue:6 Volume:59 Page:1311-1324
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Myrovali Evangelia^ORCID,Fragakis Nikolaos,Vassilikos Vassilios,Hadjileontiadis Leontios J.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-021-02353-7.pdf

Reference63 articles.

1. Addison PS (2005) Wavelet transforms and the ECG: a review. Physiol Meas 26(5):R155

2. Addison PS (2017) The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance. CRC Press

3. Akizuki H, Hashiguchi N (2019) Heart rate variability in patients presenting with neurally mediated syncope in an emergency department. Amer J Emerg Med

4. Bandt C, Pompe B (2002) Permutation entropy: a natural complexity measure for time series. Phys Rev Lett 88(17):174102

5. Bari V, Marchi A, De Maria B, Rossato G, Nollo G, Faes L, Porta A (2016) Nonlinear effects of respiration on the crosstalk between cardiovascular and cerebrovascular control systems. Phil TransRoyal Soc A Math Phys Eng Sci 374(2067):20150179

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