Methodological aspects of EEG and body dynamics measurements during motion

被引:120
作者
Reis, Pedro M. R. [1 ]
Hebenstreit, Felix [2 ]
Gabsteiger, Florian [2 ]
von Tscharner, Vinzenz [3 ]
Lochmann, Matthias [1 ]
机构
[1] Univ Erlangen Nurnberg, Dept Sports & Exercise Med, Inst Sport Sci & Sport, D-91058 Erlangen, Germany
[2] Univ Erlangen Nurnberg, Dept Comp Sci, Digital Sports Grp, Pattern Recognit Lab, D-91058 Erlangen, Germany
[3] Univ Calgary, Human Performance Lab, Fac Kinesiol, Calgary, AB, Canada
关键词
electroencephalography; methodology; hardware and software; movement and exercise; artifacts reduction; electrodes digitalization; MOTOR CORTEX; TREADMILL WALKING; CORTICAL CONTROL; EMG ACTIVITY; MOVEMENT; MUSCLE; SENSOR; OSCILLATIONS; FREQUENCY; NECK;
D O I
10.3389/fnhum.2014.00156
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
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页数:19
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