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Table 5 Training and validation time complexity comparison between spatial-frequency- sequential features and spatial-frequency features with respect to “Dataset 2a Subject 7” and “Dataset 2b Subject 8”

From: Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

Datasets and subjects

Spatial-frequency-sequential relationships

Spatial-frequency features

  

LSTM-RNN

GRU-RNN

CNN

SVM-linear

Training time

“Dataset 2a S7”

272.26

214.34

478.08

8.19

complexity (/s)

“Dataset 2b S8”

169.80

148.11

342.00

22.83

Validation time

“Dataset 2a S7”

1.89

1.49

3.32

2.01

complexity (/s)

“Dataset 2b S8”

3.40

2.96

6.84

4.17