Identify subjects at risk for falling using an acceleration based gait analysis system
Completed
- Conditions
- effects of ageing on fall risk100283021000147410005944
- Registration Number
- NL-OMON31509
- Lead Sponsor
- niversiteit Maastricht
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 100
Inclusion Criteria
- able to walk without walking aids
- signed informed consent
- willing to participate
- healthy volunteers <= no musculo skeletal or neurological disease
- the younger volunteers are aged between 18 and 40 years, while the elderly are 60 years or older
Exclusion Criteria
- history of dizziness, vestibular dysfunction, neurological disorders, low-back pain, lower extremity infirmity/pathology
- suffering from any osteoarthritic or musculo skeletal disease at the time of testing
- unable to walk
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>The primary study outcome is the possibility to determine fall risk objective.<br /><br><br /><br>Important parameters are for<br /><br>- cognitive test: the average reaction time and the amount of errors are<br /><br>calculated for each time interval<br /><br>- Strength test: maximal force is measured during extension and flexion<br /><br>- gait analysis: walk speed, frequency, step length, variability, vertical<br /><br>displacement, asymmetry and regularity<br /><br>- balance: sway area, frequency, velocity and root mean square<br /><br>- stumble experiment: to develop an inertial based algorithm to detect<br /><br>stubmles, to registrate the compensation mechanism and which can be applied for<br /><br>younger subjects and elderly.</p><br>
- Secondary Outcome Measures
Name Time Method <p>Subject data is collected like height, weight and date of birth, but also<br /><br>information about health state is collected.</p><br>