Is it possible to convert EEG dataset into csv file and then analyse using R tool or weka??

I would like to train 20 file EEG on Neural Networks so for easy to train them I need to change them to CSV file and pack them to rows. That bring in the Question, Is it possible to convert EEG raw cnt to csv on python?

Actually, We are doing Epilepsy Detection Project. Due to some reasons it is compulsory for us to convert .edf files into csv format. if anyone knows about the code please tell me. I didn't find any helping material from internet.

Hi Everyone, I have an EEG signal with 4000x56 data, where 56 is the number of trials and 4000 are the data points.

I am looking to separate data according to frequency ranges (theta, delta, gamma) in python. How can I do this?

Can you kindly let me know how can I get data for different frequency bands?

Thank you.

Hello Sleep and EEG researchers,

I am very new to the field of EEG analysis, but am beginning a clinical trial wherein we will use an EEG device to monitor sleep onset. Our instrument (BioGraph Infiniti from Thought Technologies) exports our raw data as a text file. I am wondering:

(1) Does anyone know of sleep analysts who can read or will accept text files?

(2) Does anyone know how to convert text files to EDF format?

(3) If I have to purchase a new device and software, what are your recommendations on quality and affordable EEG devices capable of measuring sleep?

Thank you so much in advance!

I am new with EEG related terms and I am experimenting using BCI Competition IV #1 dataset. What does EEG signal epoching mean? and how can i extract epochs knowing that my eeg data is a matrix (time x channels).

Thank you

Hi sir,

1.can you please suggest to me how to convert the EDF (European Data format) file into a Mat(Matlab) file for EEG datasets?.

2. Also suggest some publicly available EEG Motor Imagery Datasets with more than 10 subjects Including evaluating classification results?

Thanks,

Thenmozhi

I want to perform short time Fourier transform using python on an EEG dataset. I couldn't find any code related to that, if anyone could help please share any python code.

Greetings everyone.

I am new in the brain signals processing field so maybe my question is not so difficult.

I have a doubt of how to perform an EEG signal normalization between subjects and in different acquisition days so that I can compare their results?

I performed an EEG acquisition on 11 subjects and repeated that acquisition with different stimuli in a second day. Now I need to use their data com perform comparisons of the signals between days of acquisition and also in the same day between subjects. I have a baseline of 100 ms before each stimulus application.

I know I need to normalize signals first because each person has a different impedance on the electrodes and also each person has a stronger or weaker signal. Also, for the same subject there are differences in the signal between acquisition days. How do I do this normalization? I think I have to use a standard deviation (SD) but I don't know which standard deviation to use that can be applied to everyone.

Thank you.