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Fig. 6 | BioMedical Engineering OnLine

Fig. 6

From: Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson’s disease

Fig. 6

Evaluation of automated FOG-detection. We applied our FOG detection machine learning framework to IMU data collected during stages B and C, using observer analysis of video data as ground truth. The receiver operating characteristic (ROC) curve of the Random Forest Classifier for FOG detection is shown, with specificity (X-axis) plotted against sensitivity (Y-axis)

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