LEAP a New Overground Body Weight Support Robot: Usability Trial

People with central nervous system disorders such as spinal cord injury, stroke, cerebral palsy, Parkinson's disease, multiple sclerosis, etc… often have impaired lower extremity function that limits activities of daily life and independence. Different body-weight support systems have been developed to facilitate the rehabilitation process by compensating for the user's residual abilities. However, studies on weight-supported gait training on a treadmill have failed to show superiority over conventional rehabilitation programs for spinal cord injury and stroke. A recent study by the group around Grégoire Courtine showed that body-weight support systems that provide assistance only in the vertical direction disrupt the production of gait and balance, suggesting that current practices may even be detrimental for relearning to walk. For the past year, the Clinique Romande de Réadaptation (CRR) worked together with the G-Lab at EPFL and G-Therapeutics on a new robot platform specifically developed to provide adjustable trunk support along four independent degrees of freedom (LEAP). The investigators were able to draw on their long-term experience, which consists of different body weight support training systems for stroke and spinal cord injury. This knowledge, combined with the input of our therapists and physicians and the specific requirements for people with neurological/musculoskeletal disorders, has resulted in a design that can provide adjustable bodyweight support during over-ground locomotion, treadmill, stairs training, standing up and sitting down and for support during the training of activities of daily living. The scope of this study is to examine how well the robot can be used for rehabilitation therapy in everyday clinical practice. This includes, among other things, technical aspects such as the handling of the hardware, the adaptability of the robot to the patient, and the safety during operation (such as the fall prevention). Various patient-specific