The VME is a robust method when there is no need to decompose the whole signal. Indeed, if the aim is to achieve a particular mode from the signal VME is the best choice (just by knowing an approximation of the frequency band of the specific mode of interest). Indeed, VME assumes that signal is composed of two parts: F(t)=Ud(t)+Fr(t); in which F(t) refers to input signal, Ud(t) is the desired mode, and Fr(t) indicates the residual signal.
Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG.” IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, Institute of Electrical and Electronics Engineers (IEEE), July 2018, pp. 1059–67, doi:10.1109/jbhi.2017.2734074.
Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG.” IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, Institute of Electrical and Electronics Engineers (IEEE), July 2018, pp. 1059–67, doi:10.1109/jbhi.2017.2734074.
APA
Nazari, M., & Sakhaei, S. M. (2018). Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG. IEEE Journal of Biomedical and Health Informatics, 22(4), 1059–1067. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Fjbhi.2017.2734074
BibTeX
@article{Nazari_2018,
doi = {10.1109/jbhi.2017.2734074},
url = {https://doi.org/10.1109%2Fjbhi.2017.2734074},
year = 2018,
month = {jul},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
volume = {22},
number = {4},
pages = {1059--1067},
author = {Mojtaba Nazari and Sayed Mahmoud Sakhaei},
title = {Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from {ECG}},
journal = {{IEEE} Journal of Biomedical and Health Informatics}
}