Julius/semesterproject_lecture_eeg
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Edited some comments

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Julius Voggesberger
2021-03-28 15:45:14 +02:00
parent bb3406bd88
commit cfa950b85b
5 changed files with 45 additions and 20 deletions
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erp_analysis.py
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@@ -93,16 +93,18 @@ def create_peak_difference_feature(df, max_subj=40):
def analyze_erp(channels, precompute=True):
"""
Execute several statistical tests for different hypothesis, to analyze ERPs
Execute several statistical tests for different hypothesis, to analyse ERPs
:param channels: The channels for which the tests are executed
:param precompute: If true, the peak-difference data will be computed. Else it will be loaded from a precomputed file,
if it exists. This should only be set 'False' if the method was already executed once!
"""
if precompute:
# Precompute the erp peaks
precompute_erp_df('N170')
for c in channels:
print("CHANNEL: " + c)
# Load the erp peak data and create the features for the t-tests
erp_df = pd.read_csv('cached_data/erp_peaks/erp_peaks_' + c + '.csv', index_col=0)
feature_df = create_peak_difference_feature(erp_df)
# 1. H_a : There is a difference between the N170 peak of recognizing faces and cars