Validation of algorithms for imu-based gait bout detection and spatiotemporal measures in real-world activities

Validation of algorithms for imu-based gait bout detection and spatiotemporal measures in real-world activities - Remote gait bout detection

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON56501

Enrollment

Registered

2024-01-24

Start date

2024-03-25

Completion date

Unknown

Last updated

2025-09-01

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

Conditions

Loop aandoening als gevolg van CVA, incomplete dwarslaesie of hereditaire motorische en sensorische neuropathie 'Gait impairement' 'neuromuscular disorder'

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - Age of at least 18 years - Sufficient cognition to understand the task - Able to walk without orthopedic shoes - Shoe size within the range 38-43 Additional inclusion criteria for healthy participants: - No pain or impairment affecting gait Additional inclusion cirteria for patient participants: - Gait impairment due to a stroke, incomplete spinal cord injury (iSCI) or  hereditary motor and sensory neuropathy (HMSN), indicated by a specialized  physical therapist.  - No clear or absent first and/or third rocker

Exclusion criteria

Exclusion criteria: - Unable to walk for 10 minutes (rests and walking aids are allowed) - Gait and/or balance impairment due to (neurological or musculoskeletal)  disease other than stroke, iSCI or HMSN.

Design outcomes

Primary

Measure	Time frame
Sensitivity, specificity and accuracy of the algorithm for detecting gait and steps.	—

Secondary

Measure	Time frame
Accuracy of the measured stepduration and steplength during walking.	—

Countries

Netherlands

Outcome results