Stroke
Conditions
Interventions
Every participant will receive one of the implicit learning strategies (analogy, errorless or observational learning). Allocation of the strategies is determined at random. During a session within the
Sponsors
Zuyd University of applied sciences
Maastricht University
Adelante
Zuyderland
Acedmic Hospital Maastricht
Eligibility
Inclusion criteria
Inclusion criteria: Potential participants will need to fulfill the following criteria: -have a hemiparesis -be able to walk 10 meters without manual assistance -would like to improve their walking ability -have a low walking speed (cut-off for self-selected gait speed <1.0m/s56) -are able to visit one of the motion labs (either at Zuyd University in Heerlen or at Maastricht University) -understanding of the Dutch language, enough to follow the a simple instruction -signed informed consent
Exclusion criteria
Exclusion criteria: -additional impairments which are not related to stroke but can influence the gait pattern (e.g. severe osteoarthritis or amputation of the lower limb, -additional neurological impairment (e.g. Parkinson’s Disease).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Primary outcome variable are changes in temporal and spatial aspects of the gait pattern (amongst others gait width and step length), measured by the Vicon 3D motion capture system. | — |
Secondary
| Measure | Time frame |
|---|---|
| Compensatory movements will be analyzed separately and for each strategy apart. Data will be screened for often occurring compensation like e.g., increase in lateral flexion of the trunk, or hip hitching. | — |
Contacts
Public ContactSusy Braun
Centre of Expertise in Life Sciences, Kenniskring Autonomie & Participatie, Fac. Gezondheid & Techniek, HsZuyd
Outcome results
None listed