Parkinson’s disease (PD) is a degenerative and progressive neurological disorder that can severely affect the mobility, particularly in advanced stages. Deep brain stimulation (DBS) is a surgical procedure used to treat the motor symptoms of Parkinson disease patients by implanting electrodes into the brain.  Motor symptoms of PD like slowness of movement, tremor, walking and speech difficulty, and dyskinesia, are the key parameters that are taken into consideration by clinicians to program the DBS device. These motor symptoms differ across the body and are unique to each patient. Moreover, patient variability in terms of medication and non-motor symptoms like sleep and mood makes programming DBS electrode setting a significant challenge. On the other hand, the biomechanics of the whole-body are too complex to accurately assess visually due to the multitude of simultaneous movements. Therefore, a detailed, quantitative method of assessment needs to be employed to make the DBS setting optimization as accurate as possible.

Industry Partner(s):MDDT

PI & Academic Institution:Andrew Parrent, Western University

PI Name: Mandar Jog

# of HQPs: 4

Focus Areas/Industry Sector: Advanced Manufacturing, Health

Platforms: Cloud

Technology: Internet of Things, Sensors