Imperial College London
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ProfessorDaniloMandic

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hemakom:2016:10.1098/rsta.2015.0199,
author = {Hemakom, A and Goverdovsky, V and Looney, D and Mandic, DP},
doi = {10.1098/rsta.2015.0199},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences},
title = {Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications},
url = {http://dx.doi.org/10.1098/rsta.2015.0199},
volume = {374},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - An extension to multivariate empirical mode decomposition (MEMD), termed adaptive-projection intrinsically transformed MEMD (APIT-MEMD), is proposed to cater for power imbalances and inter-channel correlations in real-world multichannel data. It is shown that the APIT-MEMD exhibits similar or better performance than MEMD for a large number of projection vectors, whereas it outperforms MEMD for the critical case of a small number of projection vectors within the sifting algorithm. We also employ the noise-assisted APIT-MEMD within our proposed intrinsic multiscale analysis framework and illustrate the advantages of such an approach in notoriously noise-dominated cooperative brain–computer interface (BCI) based on the steady-state visual evoked potentials and the P300 responses. Finally, we show that for a joint cognitive BCI task, the proposed intrinsic multiscale analysis framework improves system performance in terms of the information transfer rate.
AU  - Hemakom,A
AU  - Goverdovsky,V
AU  - Looney,D
AU  - Mandic,DP
DO  - 10.1098/rsta.2015.0199
PY  - 2016///
SN  - 1364-503X
TI  - Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications
T2  - Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
UR  - http://dx.doi.org/10.1098/rsta.2015.0199
UR  - http://hdl.handle.net/10044/1/43150
VL  - 374
ER  -
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