Perform the following activities in Python:

1. Load data in input Matlab data file into a data frame in Python, as described above.
2. Compute the mean EEG values across 34 channels for each sample. This will generate an array of 63296 values.
3. Compute the standard deviation of the EEG values across 34 channels for each sample. This will generate an array of 63296 values.
4. Draw scatterplots of mean-stdev., mean, mean+stdev on the same plot, using different colors to distinguish different scatterplots. Here, mean denotes the means computed in Step 2, and stdev denotes the standard deviations computed in Step 3.
5. Compute alpha PSIs as depicted above.
6. Compute the mean alpha PSI values across 34 channels for each sample.
7. Compute the standard deviation of the alpha PSI values across 34 channels for each sample.
8. Draw scatterplots of mean-stdev., mean, mean+stdev on the same plot, using different colors to distinguish different scatterplots. Here, mean denotes the means computed in Step 6, and stdev denotes the standard deviations computed in Step 7.
9. Save the scatterplots created in Steps 4 and 8 in a Word document.
10. Save the alpha PSI dataset in a CSV file named Acquisition-15-alphaPSI.csv.