of Event-Related Potentials

for MATLAB and GNU Octave

**
Copyright © 2003-2015 Vladimir Bostanov
<bostanov bioinformatics.org>
**

t-CWT comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to redistribute it under certain conditions. See the Terms of Use below. For more details see the GNU General Public License.

Event-related brain potentials (ERPs) are usually assessed with univariate statistical tests although they are essentially multivariate objects. Brain-computer interface (BCI) applications are a notable exception to this practice. Multivariate ERP assessment can be facilitated by feature extraction methods. One such method is t-CWT, a mathematical-statistical algorithm based on the continuous wavelet transform (CWT) and Student's t-test.

A detailed description of the mathematical algorithm implemented by the t-CWT software as well as the results from the assessment of the example ERP data can be found in

Bostanov V. (2015). Multivariate Assessment of Event-Related Potentials with the t-CWT Method.BMC Neuroscience 16:73.doi:10.1186/s12868-015-0185-z BibTeX reference

The first version of t-CWT was introduced in

Bostanov V. (2004). BCI Competition 2003 – data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram.IEEE Trans Biomed Eng51:1057-61. BibTeX reference

If you use t-CWT in your research, please cite, either Bostanov (2015), or both Bostanov (2015) and Bostanov (2004) – whichever fits best.

t-CWT 2.01 Documentation: A single HTML file (also included in the ZIP archive).

File | Size | Description | |
---|---|---|---|

t-CWT.2.01.zip | 180 | KB | t-CWT version 2.01, source code. MD5: af38affe40519687be723912aa487bed |

t-CWT.example.ERP.data.zip | 94 | MB | Oddball ERPs, 27 ASCII datasets. MD5: 322a35c5462da1fcb6931fe91f547d6f |

t-CWT is free software: you can redistribute it and/or modify

it under the terms of the
GNU General Public License
as published

by the Free Software Foundation, either version 3 of the License,

or (at your option) any later version.

t-CWT is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty

of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

See the GNU General Public License for more details.

@article{bostanov15tcwt, author={Bostanov, Vladimir}, title={Multivariate Assessment of Event-Related Potentials with the {t-CWT} Method}, journal={BMC Neuroscience}, volume={16}, pages={73}, note={doi:10.1186/s12868-015-0185-z}, year={2015}}

@article{bostanov04tcwt, author={Bostanov, Vladimir}, title={{BCI} {C}ompetition 2003 - Data Sets {I}b and {II}b: {F}eature Extraction from Event-Related Brain Potentials with the Continuous Wavelet Transform and the t-Value Scalogram}, journal={IEEE Trans Biomed Eng}, volume={51}, pages={1057-1061}, year={2004}}