Dear professor, recently I am doing my PhD on combined effect of EEG and fNIRS on movement analysis. I have a deep interest on EEG nonlinear behaviour. It would be nice to discuss with you about the Processing of that EEG data. I will wait for your response. You can mail me as well [email protected].

Regards

Md. Asadur Rahman

BME, KUET

EEG is only once art of registration of brain elektrical activity. It is very difficult and very simple to make relationship between EEG and brain functions.

What does that mean 'very difficult and very simple', it is kind a contradictory statement? EEG seemed to be neglected for a long time and electroencephalographers beleived it contained a lots of 'noise'; it turned out we can extract quite a lot of information out of that 'noise'. By applying nonlinear analysis on EEG we can find out about physiological complexity which can inform us about the dynamics of the system generating that electrical signal (i.e. Brain). There are growing number of studies on this topic in several different fields, and I find many of them useful. Like early detection of disorders (for example Parkinson's disease, Depression, etc), measuring the depth of anaesthesia, understanding the ageing processes and many more. Also, from my experience, resting state EEG is most information rich, and I am advocating minimal intervention while pre-processing. We are still learning how to interpret the results of fractal and nonlinear analysis, as well as different data mining applications, and its possible translation to clinical practice.

Md.Asadur Rahman, What movement analysis you are focusing on? I am mainly experienced in electromagnetic stimulation of the brain and lately in mood disorders physiological complexity, but had some experience in movement disorders previously.