Ambulatory monitoring of postural instability and gait disorder in Parkinson's Disease.
- Conditions
- Ambulatory moniotringParkinson's DiseaseKinematicsPIGD
- Registration Number
- NL-OMON23798
- Lead Sponsor
- Dr. J.P.P. van Vugtj.vanvugt@mst.nl Medisch Spectrum TwenteAfdeling neurologiePostbus 500007500 KA Enschede+31 (0)53-487 2841Dr. Ir. T. Heida Function: Assistant professorBiomedical Signals and Systems University of Twente Drienerlolaan 57522 NB EnschedeBuilding: Zuidhorst 226+31 (0)53 489 2759S. Sharifi s.sharifi@student.utwente.nl MSc. Student Technical Medicine Medical Signalling+31 (0)53 4873064
- Brief Summary
/A
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- Not specified
- Target Recruitment
- 25
Inclusion Criteria
Parkinson patients, which are confirmed idiopathic PD diagnosis according to the UK Parkinson’s disease society criteria, in stages 1 to 4 in Hoehn and Yahr scale are recruited for the study. The patients must be able to walk independently without walking aids. The age-matched controle group will be able to walk without any visible gait problems.
Exclusion Criteria
1. Impairments or diseases other than PD that affect gait or balance (e.g. orthopedic, neurological other than PD);
2. Inability to walk multiple short distances, together totaling approximately half an hour;
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The subjects walk in a defined environment with six sensors and all activities will be filmed in order to correlate postural disability and gait disorders with the signals registrated by the sensors. The characteristics in gait are to be detected that cause PIGD and the corresponding signal. From this data several features are extracted that would be able to detect and classify PIGD.<br><br /><br>Furthermore, with the appointed features an optimal and minimal sensor configuration (amount and position of sensors) will be determined in which these features are still effective in detection and classification.
- Secondary Outcome Measures
Name Time Method During the measurements also clinical tests are conducted (UPDRS 10 meter timed walking test + Timed-Up-and-Go), which give a clinical assessment of the stadium of the disease. The features that are derived from the sensors are correlated with the clinical scales.