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Analyze EEG Frequency
Pipe 1: Provides an overall analysis of the EEG data by analyzing all channels together, irrespective of labels or timestamps. Using the following metrics:
Frequency Spectrum for All Channels (Combined):
Frequency Spectrum for Each Channel (Separate Subplots):
Correlation Matrix:
Spectrogram for Each Channel:
Session S01S08:
Session S03S08:
Session S09S08:
Pipe 2: Analyzes EEG data for each unique label independently, focusing on label-specific behaviors.
Frequency Spectrum (Per Label):
Spectrograms (Per Label):
Correlation Matrix (Per Label):
Session S01S08:
Table 5
Channel
Stop (Hz)
Turn Left (Hz)
Reverse (Hz)
Turn Right (Hz)
Forward (Hz)
FP1
4.5
10
14
20
31
FP2
4.5
10
14
20
31
C3
4.5
10
14
20
31
C4
4.5
10
14
20
31
T3
4.5
10
14
20
31
T4
4.5
10
14
20
31
O1
4.5
10
14
20
31
O2
4.5
10
14
20
31
F7
4.5
10
14
20
31
F8
4.5
10
14
20
31
F3
4.5
10
13.5
20
31
F4
4.5
10
13.5
20
31
T5
4.5
10
14
20
31
T6
4.5
10
14
20
31
P3
4.5
10
14
20
31
P4
4.5
10
14
20
31
There are no rows in this table
Session S03S08:
Table 4
Channel
Stop (Hz)
Turn Left (Hz)
Reverse (Hz)
Turn Right (Hz)
Forward (Hz)
FP1
4.5
8.5
13.5
18.5
29
FP2
4.5
8.5
13.5
18.5
29
C3
4.5
8.5
13.5
18.5
29
C4
4.5
8.5
13.5
18.5
29
T3
4.5
8.5
13.5
18.5
29
T4
4.5
8.5
13.5
18.5
29
O1
4.5
8.5
13.5
18.5
29
O2
4.5
8.5
13.5
18.5
29
F7
4.5
8.5
13.5
18.5
29
F8
4.5
8.5
13.5
18.5
30
F3
4.5
8.5
13.5
18.5
29
F4
4.5
8.5
13.5
18.5
30
T5
4.5
8.5
13.5
18.5
29
T6
4.5
8.5
13.5
18.5
30
P3
4.5
8.5
13.5
18.5
29
P4
4.5
8.5
13.5
18.5
29
There are no rows in this table
Session S09S08:
Table 6
Channel
Stop (Hz)
Turn Left (Hz)
Reverse (Hz)
Turn Right (Hz)
Forward (Hz)
FP1
4.5
8.5
13.5
18.5
31
FP2
4.5
8.5
13.5
18.5
31
C3
4.5
8.5
13.5
18.5
31
C4
4.5
8.5
13.5
18.5
31
T3
4.5
8.5
13.5
18.5
31
T4
4.5
8.5
13.5
18.5
31
O1
4.5
8.5
13.5
18.5
31
O2
4.5
8.5
13.5
18.5
31
F7
4.5
8.5
13.5
18.5
30.5
F8
4.5
8.5
13.5
18.5
30.5
F3
4.5
8.5
13.5
18.5
30.5
F4
4.5
8.5
13.5
18.5
30.5
T5
4.5
8.5
13.5
18.5
30.5
T6
4.5
8.5
13.5
18.5
30.5
P3
4.5
8.5
13.5
18.5
30.5
P4
4.5
8.5
13.5
18.5
30.5
There are no rows in this table
Pipe3: Further divides the labeled EEG data into 5-minute segments for detailed time-based analysis.
Same plots as Code 2 but generated for each 5-minute segment within a label to add temporal details to the analysis.
Session S01S08:
Forward:
Reverse:
Stop:
Turn Right:
Turn Left:
Session S03S08:
Forward:
Reverse:
Stop:
Turn Right:
Turn Left:
Session S09S08:
Forward:
Reverse:
Stop:
Turn Right:
Turn Left:
Key Differences in EEGNets:
Table 7
Model
Specialization
Key Features
Use Case
EEGNet (2018)
General-purpose EEG tasks
Depthwise + Separable Convolutions, Dropout or SpatialDropout2D
Most EEG classification tasks
EEGNet SSVEP Variant
SSVEP-specific
Larger kernLengthkernLengthkernLength, fewer channels, tailored for visual evoked
SSVEP tasks
EEGNet (2016)
General-purpose (obsolete)
Standard Conv2D, no depthwise/separable convolutions, regularization
Early EEGNet architecture
EEGNeX
Noisy EEG decoding
LayerNormalization, dilated convolutions
Noisy or complex EEG tasks
There are no rows in this table
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