Methodological aspects of EEG and body dynamics measurements during motion.
EEG involves the recording, analysis, and interpretation of voltages recorded on the human scalp which originate from brain gray matter. EEG is one of the most popular methods of studying and understanding the processes that underlie behavior. This is so, because EEG is relatively cheap, easy to wear, light weight and has high temporal resolution. In terms of behavior, this encompasses actions, such as movements that are performed in response to the environment. However, there are methodological difficulties which can occur when recording EEG during movement such as movement artifacts. Thus, most studies about the human brain have examined activations during static conditions. This article attempts to compile and describe relevant methodological solutions that emerged in order to measure body and brain dynamics during motion. These descriptions cover suggestions on how to avoid and reduce motion artifacts, hardware, software and techniques for synchronously recording EEG, EMG, kinematics, kinetics, and eye movements during motion. Additionally, we present various recording systems, EEG electrodes, caps and methods for determinating real/custom electrode positions. In the end we will conclude that it is possible to record and analyze synchronized brain and body dynamics related to movement or exercise tasks.
Department of Sports and Exercise Medicine, Institute of Sport Science and Sport, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.
Pedro M R
PM
Reis
Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.
Felix
F
Hebenstreit
Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.
Florian
F
Gabsteiger
Human Performance Laboratory, Faculty of Kinesiology, University of Calgary Calgary, AB, Canada.
Vinzenz
V
von Tscharner
Department of Sports and Exercise Medicine, Institute of Sport Science and Sport, Friedrich-Alexander-University Erlangen-Nuremberg Erlangen, Germany.
Matthias
M
Lochmann
artifacts reduction; electrodes digitalization; electroencephalography; hardware and software; methodology; movement and exercise