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Table 8 FOG Detection: One-freezer-held-out cross validation using the 2-layer LSTM model on only active states and on both active and inactive states

From: Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks

Participant held out

Only active states

Both active and inactive states

Sensitivity (%)

Specificity (%)

Sensitivity (%)

Specificity (%)

1

79.2

95.8

83.0

92.5

2

77.2

96.8

77.2

90.3

3

72.5

93.6

72.5

92.8

6

85.9

94.8

85.9

90.2

7

77.9

92.3

77.4

89.5

8

86.2

84.2

86.2

81.2

9

92.2

95.4

92.2

89.8

Mean ± SD

81.6 ± 6.3

93.3 ± 4.0

82.1 ± 6.2

89.5 ± 3.6

  1. Active states include walking and turning but exclude standing