I have opened the file in Matlab and am using MNE Python too. This is a processed EEG file in Matlab data format instead of raw EEG (Screenshot 1).
Screenshot 1: struct of the 801_1_PD_REST
Now the problem is that inside the Matlab data file, the values inside EEG are very large (see screenshot 2), and what are their units? I have read on the internet that generally the microvolt as a unit is used for EEG analysis, but these are too large values to be in microvolts, so what are these values exactly? Even in the organized data file, the values don't look like voltages (see screenshot 3)
Screenshot 2: Inside the 801_1_PD_REST
Screenshot 3: Organized data with eyes closed
I have also opened some raw EEG files with MNE in Python (https://neuraldatascience.io/7-eeg/mne_data.html).
and accessing the data, the general unit of every channel voltage is already mentioned (see screenshot 4), and the data inside it also looks like EEG voltages (see screenshot 5). But in the processed data, what are those values? I don't understand. They can't be voltages, right? Also as the unit mentioned in micro volt in screenshot 4 so if the value is -7.68e-6 it meant -7.68 micro volts or -7.68e-6 micro volts
Screenshot 4: Every channel's unit is specified as microvolts and in the data actual voltages in raw eeg from IOWA out of sample dataset
In 63th(array indexing from 0) channel printing out first 10 data
Dataset Description:
Methods: We included a total of 41 PD patients and 41 demographically-matched controls from New Mexico and Iowa. Data for all participants from New Mexico (27 PD patients and 27 controls) were used to evaluate insample LEAPD performance, with extensive cross-validation. Participants from Iowa (14 PD patients and 14 controls) were used for out-of-sample tests. Our method utilized data from six EEG leads which were as little as 2 min long.
Paper Link: Linear predictive coding distinguishes spectral EEG features of Parkinson's disease Dataset Link: Available Data
I am working on detecting PD from EEG signals as my thesis work.