Fig. 4: Monitoring the motor recovery trajectory using wearable sensors. | npj Digital Medicine

Fig. 4: Monitoring the motor recovery trajectory using wearable sensors.

From: Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Fig. 4

The time series represent the recovery trajectory of a hypothetical subject undergoing rehabilitation. Clinical scores estimated via the analysis of wearable sensor data (orange circles) provide measures of arm ability across domains of the ICF. Predicted scores (green circles) derived using a model based on the time series of estimated clinical scores (orange circles) and subject’s clinical phenotype provide estimates of the anticipated response to the intervention. A fitting function (e.g., a polynomial equation) represents the recovery trajectory. Confidence intervals are provided for the estimated and predicted scores.

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