Identify subjects at risk for falling using an acceleration based gait analysis system

Identify subjects at risk for falling using an acceleration based gait analysis system - fall risk assessment using accelerometer

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON31509

Enrollment

100

Registered

2007-08-15

Start date

2008-03-01

Completion date

Unknown

Last updated

2024-05-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

effects of ageing on fall risk

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - able to walk without walking aids - signed informed consent - willing to participate - healthy volunteers

Exclusion criteria

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

Design outcomes

Primary

Measure	Time frame
The primary study outcome is the possibility to determine fall risk objective. Important parameters are for - cognitive test: the average reaction time and the amount of errors are calculated for each time interval - Strength test: maximal force is measured during extension and flexion - gait analysis: walk speed, frequency, step length, variability, vertical displacement, asymmetry and regularity - balance: sway area, frequency, velocity and root mean square - stumble experiment: to develop an inertial based algorithm to detect stubmles, to registrate the compensation mechanism and which can be applied for younger subjects and elderly.	—

Measure

Time frame

The primary study outcome is the possibility to determine fall risk objective. Important parameters are for - cognitive test: the average reaction time and the amount of errors are calculated for each time interval - Strength test: maximal force is measured during extension and flexion - gait analysis: walk speed, frequency, step length, variability, vertical displacement, asymmetry and regularity - balance: sway area, frequency, velocity and root mean square - stumble experiment: to develop an inertial based algorithm to detect stubmles, to registrate the compensation mechanism and which can be applied for younger subjects and elderly.

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Secondary

Measure	Time frame
Subject data is collected like height, weight and date of birth, but also information about health state is collected.	—

Countries

Netherlands

Outcome results