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Table 6 FOG Detection: One-freezer-held-out cross validation for the 3-layer LSTM model (32 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 83.6 86.3 20.2 0.33
2 9270 110,130 83.5 90.1 41.5 0.55
3 1502 142,157 71.7 92.0 8.6 0.15
6 4240 191,309 86.9 90.7 17.2 0.29
7 33,841 159,787 77.1 89.2 60.1 0.68
8 3640 101,415 87.6 74.7 11.1 0.20
9 683 141,373 93.6 88.6 3.8 0.07
Mean (SD)    83.4 ± 6.7 87.4 ± 5.4 23.2 ± 18.8 0.32 ± 0.20