1 research outputs found
The influence of filters on EEG-ERP testing: Analysis of motor cortex in healthy subjects
The raw EEG signal is always contaminated with many different artifacts, such as muscle
movements (electromyographic artifacts), eye blinking (electrooculographic artifacts) or power line
disturbances. All artifacts must be removed for correct data interpretation. However, various noise
reduction methods significantly influence the final shape of the EEG signal and thus its characteristic
values, latency and amplitude. There are several types of filters to eliminate noise early in the
processing of EEG data. However, there is no gold standard for their use. This article aims to
verify and compare the influence of four various filters (FIR, IIR, FFT, NOTCH) on the latency and
amplitude of the EEG signal. By presenting a comparison of selected filters, the authors intend to
raise awareness among researchers as regards the effects of known filters on latency and amplitude
in a selected area—the sensorimotor area