Pattern recognition and differential diagnosis of neurological gait disorders in instrument-based and clinical gait analysis
Not Applicable
Recruiting
- Conditions
- R26Abnormalities of gait and mobility
- Registration Number
- DRKS00009599
- Lead Sponsor
- Klinikum der Universität München, Campus Großhadern, Neurologische Klinik und Poliklinik und Deutsches Schwindel- und Gleichgewichtszentrum, DSGZ
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 240
Inclusion Criteria
patients with confirmed gait disorder
Exclusion Criteria
unclear gait disorders
Study & Design
- Study Type
- interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The aim of the study is to compare the outcome of clinical gait analysis and the standardized instrument-based gait analysis.<br><br>Clinically confirmed cases of gait disturbances will be recruited for this study. The patients will undergo different gait measurements walking across a GAITRite® sensor carpet, while standardized gait parameters and video data are being collected. For analysis clinicians will be divided into different groups. Each group will analyze the gait data of different packages with a limited data set. Accuracy of the clinician’s diagnoses will be compared among all groups. Furthermore, an automated pattern recognition system for gait pattern classification will be used to compare the computed results with the clinician’s results.
- Secondary Outcome Measures
Name Time Method identification of important gait conditions and variables, identification of physician's information, important factors and characteristics for accuracy of diagnoses, automated pattern recognition, comparison between physician's gait analysis and automated pattern recognition analysis