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Frailty screening using gait analysis and physical activity

Frailty screening using gait analysis and physical activity - FSGAIT

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON57195
Enrollment
350
Registered
2023-07-14
Start date
2024-04-19
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

vulnerability - fragility

Interventions

None listed

Sponsors

Universitair Medisch Centrum Groningen
Lead Sponsor

Eligibility

Age
65 Years to 99 Years

Inclusion criteria

Inclusion criteria: - Be able to walk independently without or with a walking aid other than a walker, for at least 3 minutes continuously inside and/or outside. - Capacity to consent - Evaluated as being frail or pre-frail or frail by the clinical assessment [for frail/prefrail group]

Exclusion criteria

Exclusion criteria: - A history of central neurological problems (e.g., cerebral vascular accident, acquired brain damage, or Parkinson*s Disease). - The participant is terminally ill (i.e., life expectancy

Design outcomes

Primary

MeasureTime frame
The primary endpoint is the classification accuracy, sensitivity, and specificity of frailty obtained by different machine learning methods. Different models will be generated based on gait variables collected by wearables sensors during daily life.

Secondary

MeasureTime frame
The secondary endpoint is the comparison of classification models of gait variables collected by wearables sensors with the standard clinical assessments.

Countries

Netherlands

Contacts

Public ContactCJC Lamoth

Universitair Medisch Centrum Groningen

c.j.c.lamoth@umcg.nl+31 (0)625646585

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)