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Table 5 FOG Detection: One-freezer-held-out cross validation for the 2-layer LSTM model (16 units per LSTM layer)

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 FOG data Non-FOG data Sensitivity (%) Specificity (%) Precision (%) F1 score
1 3454 82,943 83.0 92.5 31.6 0.46
2 9270 110,130 77.2 90.3 40.0 0.53
3 1502 142,157 72.5 92.8 9.6 0.17
6 4240 191,309 85.9 90.2 16.3 0.27
7 33,841 159,787 77.4 89.5 61.0 0.68
8 3640 101,415 86.2 81.2 14.1 0.24
9 683 141,373 92.2 89.8 4.2 0.08
Mean (SD)    82.1 ± 6.2 89.5 ± 3.6 25.3 ± 18.6 0.35 ± 0.20