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Table 1 Subject characteristics

From: Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

 

Dataset 1

Dataset 2

Controls

Non-freezers

Freezers

Freezers

Age

65 ± 6.8

67 ± 7.4

69 ± 7.4

67 ± 9.3

PD duration

 

7.8 ± 4.8

9.0 ± 4.8

10 ± 6.3

MMSE [81]

29 ± 1.3

29 ± 1.2

28 ± 1.1

28 ± 1.3

UPDRS III [82]

 

34 ± 9.9

38 ± 14

39 ± 12

H&Y [83]

 

2.4 ± 0.3

2.5 ± 0.5

2.4 ± 0.5

  1. The subject characteristics of the fourteen healthy control subjects (controls), fourteen PwPD and without FOG (non-freezers), fourteen PwPD and FOG (freezers) of dataset 1, and seventeen PwPD and FOG (freezers) of dataset 2 at the baseline assessment. All characteristics are given in terms of mean ± standard deviation. For dataset 1, the characteristics were measured during the ON-phase of the medication cycle, while for dataset 2 the characteristics were measured while OFF medication