A reliability assessment software using Kinect to complement the clinical evaluation of Parkinson's disease

Area of Science:

• Biomedical Engineering
• Neurology
• Rehabilitation Technology

Background:

• Parkinson's disease (PD) significantly alters gait patterns, increasing fall risk.
• Objective measurement of gait variations is crucial for tracking PD progression and pharmacotherapy effects.
• Current clinical assessments lack objective, replicable gait analysis methods.

Purpose of the Study:

• To introduce and validate the e-Motion Capture System software for objective gait analysis in Parkinson's disease.
• To compare the accuracy of e-Motion software against a benchmark 3D motion capture system.
• To assess the software's ability to quantify key motor and spatiotemporal gait parameters.

Main Methods:

• Development of the interdisciplinary e-Motion Capture System software.
• Comparison of e-Motion software with a multi-camera 3D motion capture system.
• Tracking of ankle spatial locations during gait under controlled indoor conditions.

Main Results:

• The e-Motion Capture System software calculates essential motor parameters (cadence, stride length, step length).
• The software quantifies critical spatiotemporal parameters (velocity, acceleration) impacting quality of life.
• Excellent agreement was observed between e-Motion software and the benchmark 3D motion capture system.

Conclusions:

• The e-Motion Capture System provides a valid and replicable method for objective gait analysis in Parkinson's disease.
• This technology can effectively monitor gait changes related to disease evolution and pharmacotherapy.
• Objective gait parameter measurement using e-Motion software has the potential to improve patient care and quality of life.