Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking

Frontiers in Human Neuroscience
Kevin Nathan, Jose L Contreras-Vidal

Abstract

Recent mobile brain/body imaging (MoBI) techniques based on active electrode scalp electroencephalogram (EEG) allow the acquisition and real-time analysis of brain dynamics during active unrestrained motor behavior involving whole body movements such as treadmill walking, over-ground walking and other locomotive and non-locomotive tasks. Unfortunately, MoBI protocols are prone to physiological and non-physiological artifacts, including motion artifacts that may contaminate the EEG recordings. A few attempts have been made to quantify these artifacts during locomotion tasks but with inconclusive results due in part to methodological pitfalls. In this paper, we investigate the potential contributions of motion artifacts in scalp EEG during treadmill walking at three different speeds (1.5, 3.0, and 4.5 km/h) using a wireless 64 channel active EEG system and a wireless inertial sensor attached to the subject's head. The experimental setup was designed according to good measurement practices using state-of-the-art commercially available instruments, and the measurements were analyzed using Fourier analysis and wavelet coherence approaches. Contrary to prior claims, the subjects' motion did not significantly affect their EEG during t...Continue Reading

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Citations

Mar 26, 2016·Frontiers in Neuroscience·Julia E KlineDaniel P Ferris
Aug 19, 2016·Frontiers in Neuroscience·Eduardo López-LarrazLuis Montesano
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Aug 10, 2021·Psychophysiology·Gordon DodwellThomas Töllner

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Software Mentioned

Matlab
EEGLAB
Wavelet Coherence
BrainVision Recorder
FASTER
Crosswavelet
Crosswavelet and Wavelet Coherence

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