eegandbiofeedbackexperiments（7页）.doc

EEG Based Experiments and pre-processing of EEG data Isabella Hinterleitner, 0006380 Abstract - The article explains how to teach basic EEG skills for engineering students based on the example of three experiments to measure Alpha, Beta and Theta waves. It explains the conditions how they were conducted and the interpreted results. Key Words – Biofeedback, Neurofeedback, EEG, Progressive Muscle Relaxation Method, Pattern Recognition Methods 1 Introduction Biofeedback as a field has been growing since the late 1960s. Of particular interest to psychologysts is the electrcal functioning of the brain. The form of biofeedback that enables people to alter brain electrical is called “neurofeedback” (or EEG biofeedback). The reason that neurofeedback is of special concern to psychologists is, because the brain is a central contributor to the emotions, physical symptom, thoughts and behaviours that define many problems for which people seek psychological consulation. The goal of my work is to design EEG biofeedback experiments for students. The experiments deal with measuring Alpha, Beta and Theta waves during a specific task, the students have to solve. For measurement, there is used the 10/20 electrode placement system. The results of the experiments will be pre-processed by using LMS Least Mean Square filtration method. The results will serve for development of a set of tasks that will constitute a basis for training of, for example, better concetration during tasks solving or relaxation when the person feels tired. 2 Motivations The aim of the study was to design experiments that support teachers, professors and assistents in teaching EEG based techniques. There is an extremly high afford to do this since teaching these methods requires teachers to spend time in labs and to assist their students in the experimenting tasks. By designing these experiments it was taken in account that teachers have a lot of students to supervise and little time to actually ass