Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis

By B. Mijovic, M. de Vos, I. Gligorijevic, J. Taelman, S. Van Huffel. IEEE Transactions on Biomedical Engineering, 2010

379 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b9c4bd5d81bfa2c314a526bf4cfa233990bb05ca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Begonya García-Zapirain Soto
2. Jose Antonio Urigüen

In Cognitive Neuroscience

1. Guibin Bian
2. Zean Tian
3. Xiao Jiang
4. Begonya García-Zapirain Soto
5. Jose Antonio Urigüen

In Signal Processing

1. Guibin Bian
2. Zean Tian
3. Xiao Jiang
4. Begonya García-Zapirain Soto
5. Jose Antonio Urigüen

Citations in the corpus

• EEG artifact removal—state-of-the-art and guidelines (2015, methodology): “along with BSS methods [57, 58], when the signal and the”
• Removal of Artifacts from EEG Signals: A Review (2019, background): “In some case, the reconstructed remaining IMFs can be entered to an extra artifact removal environment to enhance the quality of EEG data [77].”