Wearable sensors for the combined use of early detection of postural instability and fall risk prediction in Parkinson s disease patients

This is a prospective study aimed at quantifying walking and balance in patients with parkinsonism in the clinical setting in addition to a living environment setting. To accomplish this, we will use a portable motion capture system that is widely used to study biomechanics in humans. Once quantified, we want to test the effects of deep brain stimulation (DBS) frequency in patients who already have DBS systems in place. Thus, our objectives are: 1. Demonstrate that parkinsonism patient-specific kinematics can be used to detect postural instability in the clinic using wearable IMUs. 2. Demonstrate that individualized, home-based postural response curves can detect postural instability and prospectively predict fall risk in patients with parkinsonism.