Table 1 Validation of individuals participating in the EEG signal recording process in order to identify positive and negative emotions43.

From: Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes

Subject number

Sex

Age

BDI

Mean valence for positive emotion

Mean arousal for positive emotion

Mean valence for negative emotion

Mean arousal for negative emotion

Validation result

Reason for subject removal

1

Male

25

16

9

9

1.8

1

Valid

–

2

Male

24

22

6.8

6.2

3.6

2

Invalid

Beck depression (22 > 21)

3

Female

27

19

6.2

7.4

4.2

4.6

Invalid

Mismatch of the control question in the SAM test

4

Male

24

4

7.4

7.6

2.4

2.6

Valid

–

5

Male

24

0

5.8

5

4.4

5.6

Invalid

Mismatch of the control question in the SAM test

6

Male

28

10

5.6

5.4

2

1.6

Invalid

Lack of desired induction in positive emotional class

7

Male

28

13

7.2

7.4

3.8

3.8

Invalid

Lack of desired induction in negative emotional class

8

Male

20

19

7.8

7.4

2.8

3

Valid

–

9

Male

26

9

7.4

7

3.4

5.4

Invalid

Lack of desired induction in negative emotional class

10

Female

23

9

6.8

6.6

3.8

3.2

Invalid

Lack of desired induction in negative emotional class

11

Female

25

22

7.8

8

4.5

3

Invalid

Beck depression (22 > 21)

12

Female

27

1

8.6

8.6

2

1.2

Valid

–

13

Female

29

9

6

6

2

1.2

Valid

–

14

Male

26

8

8

8

1.8

1.6

Valid

–

15

Female

25

12

–

–

–

–

Invalid

Motion noise

16

Male

27

0

7.4

8

1.8

2

Valid

–

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