Dear Professsors and studend friends,
I am an undergraduate student and I want to desing an experimental graduation project with one of my friends by using EEG. However, we do not have any data aquations and processing experiences. Can you give me some recomendations. from your experiences.
Here are the recommendations:
1. Understanding EEG Data: Familiarise yourself with how EEG works and what the data signifies.
2. Data Acquisition: Learn how to use your EEG device.
3. Data Cleaning: Learn how to clean EEG data using software like EEGLAB or FieldTrip.
4. Data Analysis: Perform analysis appropriate to your project, such as time-frequency analysis or event-related potential analysis.
There are many data processing methods for EEG data, including mathematical signal analysis, machine learning techniques, and pre-processing methods such as Electrooculogram (EOG) artifact correction and filtering. Some specific techniques commonly used in EEG data analysis include t-tests, ANOVAs, and non-parametric procedures. Additionally, simultaneous acquisition of EEG with functional magnetic resonance imaging (fMRI) has shown promise in EEG-informed fMRI analysis . Overall, the specific data processing methods used for EEG data analysis will depend on the research question and the available resources.
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