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Fig. 4 | Journal of NeuroEngineering and Rehabilitation

Fig. 4

From: Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops

Fig. 4

Overview of the annotations for four typical IMU trials from two patients. Four typical trials include annotations for IMU trials measured during four settings: a TUG in Off-medication (S3), b TUG in On-medication (S1), c 360Turn in Off-medication (S3), d 360Turn in On-medication (S1). The figures visualize the difference between the manual FOG segmentation by the clinician and the automated FOG segmentation by the DL model. The x-axis denotes the time of the trial in seconds. The gray region indicates the experts’ annotated FOG, and the yellow region indicates the model-annotated FOG. The color gradient visualizes the overlap or discrepancy between the model and experts’ annotations. The figure shows that the model generally annotated broader FOG events compared to experts’ annotation, resulting in a systematic error in %TF shown in Fig. 3

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