LetsWave is an EEG signal-processing toolbox written in Borland Delphi 7 and running under Microsoft Windows. It was developped to perform fast multi-subject analyses of event-related potentials with specific focus on time-frequency analysis methods using the Wavelet transform. Letswave is composed of a multitude of signal-processing 'modules' which are all controlled through a single user-interface. Time-frequency decomposition is performed using an optimized Morlet wavelet transform algorithm. Besides time-frequency decomposition, several modules allow the processing of EEG either in the time, the frequency, or the time-frequency domain. Furthermore, several statistical modules allow comparing results across multiple conditions.

3D representation of phase as a function of time and frequency. Image obtained by applying a wavelet transform to a continuous EEG recording.
3D representation of EEG phase as a function of time and frequency


amplitude time frequency representation EEG event-related potentials wavelet morlet 3d
3D representation of EEG amplitude changes as a function of time and frequency induced by a noxious cutaneous thermal laser stimulus

LetsWave Software Free Download EEG ERP Event-related potentials Evoked Potentials Wavelet Analysis Denoising Morlet Decomposition Time-frequency analysis FFT SEP LEP VEP AEP ICA Independent Component Analysis EP Electroencephalogram independent components single-trials neurophysiology electrophysiology.



Contact

André Mouraux

Unité READ
Faculté de médecine
Université catholique de Louvain
Belgium


+32-2-764-9349