Movement assessment in patients with cerebral motor disorders using accelerometers
(2012)
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Details
- Authors
- Supervisors
- Macq, Benoit
- Abstract
- (en) This thesis investigates the limitations of the existing solutions for movement assessment in daily clinical practices. The Clinical Cerebral Movement Assessment Tool (CCMAT) is presented as a cost-effective and portable solution for movement assessment in daily clinical practices. The tool has been based on the actual needs of movement disorder specialists for movement assessment. The CCMAT is solely based on accelerometer sensors. It has been validated for two of the main cerebral motor disorders, i.e. stroke and Parkinson's disease (PD). The CCMAT is first validated against the gold standard Codamotion system during a reach and grasp task which is generally used for post-stroke rehabilitation. An error model Kalman filter is used to extract the dynamic accelerations due to the movements from the CCMAT which are then placed in the global Codamotion frame instead of the sensor frames for comparison. Features are extracted from both systems and compared, showing similar performances. The CCMAT is then used to predict finger tapping clinimetric scores in PD in order to improve the diagnosis accuracy of the disease. Clinimetric rating scales such as the Unified Parkinson's Disease Rating Scale (UPDRS) are widely used in the medical community even though they may be subjective. The CCMAT is used to provide clinimetric scores based on movement features used to depict the finger tapping performances. Finally, the CCMAT is used for gait assessment in PD. The system allows to extract spatio-temporal parameters which can help identify gait deviations, perform better diagnosis, determine appropriate therapy, and monitor patient progress. The CCMAT also allows to detect PD specific impairments such as gait asymmetries and freezing of gait.
- Affiliations
Citations
Stamatakis, J. (2012). Movement assessment in patients with cerebral motor disorders using accelerometers. https://hdl.handle.net/2078.5/75878