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Open AccessArticle

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

Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, 9000 Aalborg, Denmark
Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark
Centre for Chiropractic Research, New Zealand College of Chiropractic, 1060 Auckland, New Zealand
Faculty of Health & Environmental Sciences, Health & Rehabilitation Research Institute, AUT University, 0627 Auckland, New Zealand
Centre for Sensory-Motor Interactions (SMI), Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2610;
Received: 29 March 2019 / Revised: 14 May 2019 / Accepted: 4 June 2019 / Published: 8 June 2019
(This article belongs to the Section Biosensors)
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. View Full-Text
Keywords: EEG; preprocessing; SEPs; filtering; ICA EEG; preprocessing; SEPs; filtering; ICA
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Navid, M.S.; Niazi, I.K.; Lelic, D.; Drewes, A.M.; Haavik, H. The Effects of Filter’s Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers. Sensors 2019, 19, 2610.

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