Table 4 Dataset overview: Distribution of participants by gender and pathology with corresponding age ranges

From: Interpretable feature-based machine learning for automatic sleep detection using photoplethysmography

 

Female

Male

Total

All participants (n)

33

51

84

Age [years]

41.4 ± 16.8 (16–76)

48.7 ± 21.1 (14–82)

45.8 ± 19.7 (14–82)

No pathology (n)

3

1

4

Age [years]

32.7 ± 4.0(28–35)

34

33.0 ± 3.4 (28–35)

Insomnia (n)

4

3

7

Age [years]

54.5 ± 5.4 (47–59)

63.3 ± 9.0 (54–72)

58.3 ± 8.0 (47–72)

Narcolepsy (n)

2

2

4

Age [years]

36.5 ± 10.6 (29–44)

33.5 ± 13.4 (24–43)

35.0 ± 10.0 (24–44)

Nocturnal frontal lobe epilepsy (n)

18

21

39

Age [years]

33.2 ± 13.2 (16–67)

27.8 ± 8.3 (14–44)

30.3 ± 11.0 (14–67)

Periodic leg movement (n)

3

6

9

Age [years]

51.3 ± 1.2 (50–52)

55.8 ± 7.9 (40–61)

54.3 ± 6.6 (40–61)

REM behavior disorder (n)

3

15

18

Age [years]

74.7 ± 1.5 (73–76)

71.1 ± 6.6 (59–82)

71.7 ± 6.2 (59–82)

Sleep disordered breathing (n)

0

3

3

Age [years]

N/A

69.0 ± 6.9 (65–77)

69.0 ± 6.9 (65–77)