Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation

Our study suggests that a sensor-based technique might be an important adjunct to existing clinical measures to improve the management of patients undergoing Parkinson's control therapy via deep-brain stimulation. In the future, clinicians could gather accelerometer data for approximately one week before and after outpatient visits for deep-brain stimulation adjustments. An expert system could then merge clinical observations and results of the accelerometer data analyses to recommend optimal settings. Physicians would decide how to apply these recommendations as one option for the clinical management of motor symptoms, including adjustments in medication intake as well as changes in settings for deep-brain stimulation.

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