A time-frequency decomposition was applied to rare target and frequent non-target event-related potentials (ERPs) elicited in an oddball condition to assess whether multiple functional components occur in the P300 latency range. The wavelet transform (WT) was used because it allows capture of simultaneous or partly overlapping components in ERPs without loosing their temporal relationships. The application of a four-octave quadratic B-spline wavelet transform at the level of single-sweep data allowed us to obtain new information and revealed the presence of separate events during P300 development. Several delta, theta, and alpha frequency components in the P300 latency range differed between target and non-target processing. These findings ...
A traditional frequency analysis is not appropriate for observation of properties of non-stationary ...
This technical paper deals with the application of the Wavelet Transform to the study of evoked pote...
Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more ...
A time-frequency decomposition was applied to rare target and frequent non-target event-related pote...
The wavelet transform (WT) was applied to event-related potentials (ERPs) elicited in oddball paradi...
A time-frequency decomposition was applied to the event-related potentials (ERPs) elicited in an aud...
Event related brain potential (ERP) waveforms consist of several components extending in time, frequ...
Consecutive and overlapping time-frequency (TF) components of auditory event-related brain potential...
This paper presents an application of wavelet filtering to single-trial P300 component analysis. The...
. .The comparative wavelet analysis presented in details by Demiralp et al. 1999, Ademoglu 1995 and ...
Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or ...
The purpose of this study was to apply a nonlinear wavelet denoising Alter to the extraction of tran...
A challenging task in psychophysiology is the extraction of event-related potentials (ERPs) from the...
International audienceThe main transforms of Cohen's class allow signal representation simultaneousl...
On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ER...
A traditional frequency analysis is not appropriate for observation of properties of non-stationary ...
This technical paper deals with the application of the Wavelet Transform to the study of evoked pote...
Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more ...
A time-frequency decomposition was applied to rare target and frequent non-target event-related pote...
The wavelet transform (WT) was applied to event-related potentials (ERPs) elicited in oddball paradi...
A time-frequency decomposition was applied to the event-related potentials (ERPs) elicited in an aud...
Event related brain potential (ERP) waveforms consist of several components extending in time, frequ...
Consecutive and overlapping time-frequency (TF) components of auditory event-related brain potential...
This paper presents an application of wavelet filtering to single-trial P300 component analysis. The...
. .The comparative wavelet analysis presented in details by Demiralp et al. 1999, Ademoglu 1995 and ...
Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or ...
The purpose of this study was to apply a nonlinear wavelet denoising Alter to the extraction of tran...
A challenging task in psychophysiology is the extraction of event-related potentials (ERPs) from the...
International audienceThe main transforms of Cohen's class allow signal representation simultaneousl...
On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ER...
A traditional frequency analysis is not appropriate for observation of properties of non-stationary ...
This technical paper deals with the application of the Wavelet Transform to the study of evoked pote...
Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more ...