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The rehabilitation robot Lokomat has been developed at Balgrist University Hospital Zurich. It allows automated treadmill training for patients with motor impairments in the lower limbs. Originally, the Lokomat was only position-controlled. Thus, the patient’s legs were guided along a fixed reference gait pattern.
Patients can remain completely passive in this kind of training, which is not ideal for the rehabilitation process. Therefore, we aim at developing new control strategies, which promote active participation of patients during the training.
Ideally, the robot should provide as much freedom as possible to the patient and supports him or her just as much as needed. To optimize conditions for motor relearning, patients need to experience the results of their efforts and move as freely as possible – the robot needs to “get out of the way”. However, at the same time, the robot has to provide at least the amount of support that the patient needs to maintain stable walking.
Patient-cooperative robotic behavior is based on the following basic control strategies:
We have finished a study addressing the question how cooperative robot-aided training influences the level of active participation of subjects with incomplete spinal cord injury. Together with our partners at Rehabilitation Institute of Chicago we will test the strategies also with stroke patients.
Current engineering research concentrates on improving the adaptive components of our cooperative strategies. Further studies will investigate whether increased patient activity due to cooperative training also translates to better rehabilitation outcome. We will evaluate this cooperative control framework with stroke patients, together with our partners at the Rehabilitation Institute of Chicago.
Subproject: Cooperative Control Strategies for the Lokomat
Subproject: Gait Train 3D
Subproject: Multimodal Feedback in the Lokomat
Team & Collaborations
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