cerebrovascular accident / spinal cord injury Myelopathy Stroke
Conditions
Interventions
None listed
Sponsors
Universiteit Twente
Eligibility
Age
18 Years to 99 Years
Inclusion criteria
Inclusion criteria: In general the inclusion criteria are: -age > 18 years - a stable medical condition - a physical condition which allows for 3 minutes of supported walking - have sufficient cognitive abilities (Mini-Mental State Examination * 22);Specifically inclusion criteria for spinal cord injury patients are: - a first ever SCI - time since injury > 6 months - complete or incomplete lesion (AIS A,B, C or D) - injury to the spinal cord from below C6, on at least one side of the body - able to sit unsupported (to sit upright without using the hands or an external support);Stroke patients are explicitly included in the study if they: - are diagnosed with a hemiparesis as the result of a stroke - have had the stroke > 6 months ago - score 1 to 4 on the functional ambulation classification - have sufficient communication abilities (Utrechtse Communicatie Onderzoek * 3)
Exclusion criteria
Exclusion criteria: Spinal cord injury patients and stroke patients are excluded if they: - have current orthopaedic problems - other neurological diseases - have a history of cardiac conditions that interfere with physical load - had no independent ambulation prior to SCI or stroke, - have contraindication for lower extremity weight bearing (chronic joint pain, fracture) - inappropriate or unsafe fit of the robotic trainer due to the participant*s body size (bodyweight > 100 kg) and/ or joint contractures. - have spin-stabilizing devices for whom their treating surgeon contraindicates gait - have pressure sore stage 2 or higher
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The feasibility of a control algorithm will be assessed based on its ability to provide the patient with the required support in a safe and comfortable way, its ability to bring about the desired walking pattern | — |
Secondary
| Measure | Time frame |
|---|---|
| The measured muscle activity will be used to determine whether the control algorithm encourages patients in self generating muscle activity. The responses in the joint movements to the robotically applied forces will be used to derive the subject specific impairments. | — |
Countries
Netherlands
Outcome results
None listed