DIGITAL HEALTH, 2023 · DOI: 10.1177/20552076231176653 · Published: May 2, 2023
This study uses a Kinect depth camera to objectively measure bradykinesia in Parkinson's disease (PD) patients, comparing them to healthy controls (HC). The system analyzes kinematic features from motor tasks to assess and differentiate PD patients from healthy individuals. The research aims to evaluate the diagnostic value of various motor tasks and bradykinesia elements in PD patients, aiding in objective assessment for diagnosis and management of the disease. The motion analysis system evaluates bradykinesia by incorporating amplitude, speed, and frequency components, relating these objective measurements to standardized rating scales.
The Kinect-based system offers an objective method for assessing bradykinesia, reducing the subjectivity inherent in clinical scales.
Combining kinematic features from multiple motor tasks can significantly enhance the accuracy of diagnosing Parkinson's disease.
Fine-grained measurements allow for customized treatment plans based on individual patient motor performance.