The effect of an assist-as-needed algorithm applied by a robotic gait trainer on walking in neurologic patients.

The effect of an assist-as-needed-algorithm in stroke and SCI patients.

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

NL-OMON

Registry ID

NL-OMON28175

Enrollment

Registered

2012-12-12

Start date

2103-04-01

Completion date

Unknown

Last updated

2024-06-11

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

Conditions

Assist-as-needed Robotics rehabilitation locomotor training walking neurologic patients

Interventions

An Assist-as-Needed algorithm will be applied by a robotic gait trainer, LOPES II. A position-controlled algorithm will be applied as control.

Eligibility

Inclusion criteria

Inclusion criteria: 1. Age > 18 years; 2. A stable medical condition; 3. A physical condition which allows for 1 minute of supported walking; 4. A first ever motor incomplete SCI or stroke.

Exclusion criteria

Exclusion criteria: 1. Current orthopedic problems; 2. Other neurological disorders; 3. A history of cardiac or pulmonary conditions that interfere with physical load; 4. No independent ambulation prior to SCI or stroke; 5. Chronic joint pain; 6. Inapproriate or unsafe fit of the robotic gait trainer due to the participants body size (>140kg) and/or joint contractures.

Design outcomes

Primary

Measure	Time frame
The primary outcome is walking quality, expressed by kinematics and spatio-temporal parameters.	—

Secondary

Measure	Time frame
Secondary outcomes are muscle function, walking ability and energy consumption.	—

Contacts

Public ContactB.M. Fleerkotte

Roessingh Research and Development Roessinghsbleekweg 33b

b.fleerkotte@rrd.nl+31 (0)53 4875753

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)