Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation

摘要

The pilot work presented here represents a first step toward implementing advanced strategies to optimize clinical outcomes of deep brain stimulation in Parkinsonȁ9;s disease using systematic data capture and analysis. The authors reliably predicted clinical outcomes by processing accelerometer data that captured motor responses to changes in deep-brain stimulation parameters. Deep-brain stimulation can help manage Parkinsonȁ9;s symptoms. This department is part of a special issue on implantable electronics.