Effect of signal length on the performance of independent component analysis when extracting the lambda wave
| Autor: | Naira A. Taroyan, L. Vigon, John E. W. Mayhew, Reza Saatchi, John P. Frisby |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Adult
Male Computer science Speech recognition Biomedical Engineering Electroencephalography Signal Saccades medicine Humans Preprocessor Waveform Evoked potential Clinical Trials as Topic Signal processing medicine.diagnostic_test business.industry Signal Processing Computer-Assisted Pattern recognition Electrooculography Independent component analysis Computer Science Applications Evoked Potentials Visual Female Artificial intelligence business Algorithms |
| Zdroj: | Medical & Biological Engineering & Computing. 40:260-268 |
| ISSN: | 1741-0444 0140-0118 |
| DOI: | 10.1007/bf02348134 |
| Popis: | The aim of the study was to investigate the effect of signal length on the performance of a signal source separation method, independent component analysis (ICA), when extracting the visual evoked potential (EP) lambda wave from saccade-related electro-encephalogram (EEG) waveforms. A method was devised that enabled the effective length of the recorded EEG traces to be increased prior to processing by ICA. This involved abutting EEG traces from an appropriate number of successive trials (a trial was a set of waveforms recorded from 64 electrode locations in a study investigating saccade performance). ICA was applied to the saccade-related EEG and electro-oculogram (EOG) waveforms recorded from the electrode locations. One spatial and five temporal features of the lambda wave were monitored to assess the performance of ICA applied to both abutted and non-abutted waveforms. ICA applied to abutted trials managed to extract all six features across all seven subjects included in the study. This was not the case when ICA was applied to the non-abutted trials. It was quantitatively demonstrated that the process of abutting EEG waveforms was useful for ICA preprocessing when extracting lambda waves. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink