Movement Disorder Quantification Algorithm Development
The purpose of this study is to collect kinematic motion data from subjects with movement disorders such as Parkinson's disease (PD) and essential tremor (ET) to develop and validate algorithms for quantifying motor symptoms such as tremor, bradykinesia (slowed movements), dyskinesias (sudden, involuntary movements), gait, and balance during standardized tasks and/or activities of daily living.
|Study Design:||Observational Model: Case-Only
Time Perspective: Prospective
- Processed kinematics [ Time Frame: During assessment ] [ Designated as safety issue: No ]Motion data collected during various motor tasks will be processed and compared to video review.
|Study Start Date:||February 2012|
|Estimated Primary Completion Date:||December 2016 (Final data collection date for primary outcome measure)|
Please refer to this study by its ClinicalTrials.gov identifier: NCT01534650
|Contact: Elizabeth Brokaw, Ph.D.||firstname.lastname@example.org|
|United States, Ohio|
|Great Lakes NeuroTechnologies Inc. Movement Disorders Laboratory||Recruiting|
|Valley View, Ohio, United States, 44125|
|Principal Investigator: Dustin A Heldman, Ph.D.|
|Principal Investigator:||Dustin A Heldman, PhD||Great Lakes NeuroTechnologies Inc.|