[Eeglablist] Pre-processing the EEG signals collected from walking

[stefan.debener]

Hi
In my experience the amount of (interference and other) artifact during walking depends strongly on the eeg amp system and cap used. We managed to collect single trial eeg data of good quality from subjects walking outdoors - with a cheap, small and wireless system, as described in:
Debener et al. (2012). Psychophysiology.


Best,
Stefan
Ryan McKindles <ryan.mckindles at marquette.edu> hat geschrieben:Hi Lin,

Here are a few papers I would suggest to get you started on preprocessing EEG signals during walking. 

EEGLAB Toolbox
--------------------------
Gwin 2010 Removal of movement artifact from high-density EEG recorded during walking and running. (pubmed)
Gwin 2011 Electrocortical activity is coupled to gait cycle phase during treadmill walking. (pubmed)
Wagner 2012 Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects. (pubmed)
Petersen 2012 The motor cortex drives the muscles during walking in human subjects. (pubmed)
Lau 2012 Weighted phase lag index stability as an artifact resistant measure to detect cognitive EEG activity during locomotion. (pubmed)


Fieldtrip Toolbox
------------------------
Severens 2012 Feasibility of measuring event Related Desynchronization with electroencephalography during walking. (pubmed)


If you are looking for a BCI application see: 
Presacco 2011 Towards a non-invasive brain-machine interface system to restore gait function in humans. (pubmed)

I hope you find these publications helpful, please let me know if you have any questions.

Kind Regards,


Ryan McKindles
------------------------
www.ryanmckindles.com
Integrative Neural Engineering &
Rehabilitation Laboratory (INERL)
Department of Biomedical Engineering
Marquette University, Milwaukee, WI


On Tue, Feb 12, 2013 at 3:42 PM, Lin Du <ldu at ele.uri.edu> wrote:
Hi list,

I have a question about pre-processing the EEG signals by EEGLAB. The
data were collected from human subject who is walking on the treadmill.

Because the signals were collected when the subject was walking, there
must be some artifacts and noises in the data. Could you give me some
suggestions on how to process the data to remove the artifacts and
noises before I epoch the data and do some time domain/time-frequency
domain analysis?

For example, filter the data first; reject bad channels ; run ICA to
remove artifacts; epoch the data...

I also would like to know what is the best order of these processing
procedures.

Best regards,

Lin



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