Independent component analysis of multiple-site auditory evoked potentials

Independent Component Analysis (ICA) is an algorithm used to remove artifacts from the EEG. However, there is little current literature about the impact of preprocessing stages of this signal on the performance of ICA. In this paper the effect of applying two different digital filters - lowpass and bandpass -, in a pre-processing step to ICA, was compared. This to remove the cochlear implant artifact from the Auditory Evoked Potentials. Recordings from 10 cochlear implant users were analyzed. In 5 of these records using the pre-lowpass filtering, the highest Signal Interference Ratio (SIR) was obtained; this index was used to assess the quality of ICA separation. The greatest effect of removing the cochlear implant artifact is noted in both T4 and T6 electrodes, which correspond to the area where the subjects have placed their implants (right temporal area).

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Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis

Medical & Biological Engineering & Computing ◽

10.1007/s11517-006-0123-4 ◽

2006 ◽

Vol 45 (1) ◽

pp. 69-77 ◽

Cited By ~ 3

Author(s):

A. C. Fisher ◽

W. El-Deredy ◽

R. P. Hagan ◽

M. C. Brown ◽

P. J. G. Lisboa

Keyword(s):

Independent Component Analysis ◽

Evoked Potentials ◽

Eye Movement ◽

Single Channel ◽

Component Analysis ◽

Independent Component ◽

Single Channel Recordings ◽

Dynamical Embedding

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The Effects of Filter’s Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers

Sensors ◽

10.3390/s19112610 ◽

2019 ◽

Vol 19 (11) ◽

pp. 2610 ◽

Cited By ~ 2

Author(s):

Muhammad Samran Navid ◽

Imran Khan Niazi ◽

Dina Lelic ◽

Asbjørn Mohr Drewes ◽

Heidi Haavik

Keyword(s):

Independent Component Analysis ◽

Evoked Potentials ◽

Healthy Volunteers ◽

Median Nerve ◽

Impulse Response ◽

Somatosensory Evoked Potentials ◽

Finite Impulse Response ◽

Component Analysis ◽

Independent Component ◽

Infinite Impulse Response

Objective: The aim of this study was to investigate the effects of different preprocessing parameters on the amplitude of median nerve somatosensory evoked potentials (SEPs). Methods: Different combinations of two classes of filters (Finite Impulse Response (FIR) and Infinite Impulse Response (IIR)), three cutoff frequency bands (0.5–1000 Hz, 3–1000 Hz, and 30–1000 Hz), and independent component analysis (ICA) were used to preprocess SEPs recorded from 17 healthy volunteers who participated in two sessions of 1000 stimulations of the right median nerve. N30 amplitude was calculated from frontally placed electrode (F3). Results: The epochs classified as artifacts from SEPs filtered with FIR compared to those filtered with IIR were 1% more using automatic and 140% more using semi-automatic methods (both p < 0.001). There were no differences in N30 amplitudes between FIR and IIR filtered SEPs. The N30 amplitude was significantly lower for SEPs filtered with 30–1000 Hz compared to the bandpass frequencies 0.5–1000 Hz and 3–1000 Hz. The N30 amplitude was significantly reduced when SEPs were cleaned with ICA compared to the SEPs from which non-brain components were not removed using ICA. Conclusion: This study suggests that the preprocessing of SEPs should be done carefully and the neuroscience community should come to a consensus regarding SEP preprocessing guidelines, as the preprocessing parameters can affect the outcomes that may influence the interpretations of results, replicability, and comparison of different studies.

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