
Lexo
closedRobotic gait trainer for lower limb rehabilitation.
Date | Investors | Amount | Round |
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Total Funding | 000k |
Lexo is a robotic gait training device for restoring lower limb activity and gait after a neurological event. The system is an end-effector device, where the patient's feet are attached to robotic foot plates that replicate a natural walking pattern, allowing for fluid movement in the hips and knees. It provides dynamic bodyweight support and can be used in both passive and active modes to help retrain gait.
Developed by Tyromotion, a company based in Graz, Austria, Lexo is designed to increase the intensity of exercise by allowing for a higher number of steps per session. The device incorporates gamification and immediate biofeedback to engage and motivate patients. It is highly adaptable, with adjustable parameters such as cadence, step length, and pelvic displacement to cater to individual needs. The system is suitable for a wide range of patients, including those with stroke, traumatic brain injury, spinal cord injury, multiple sclerosis, cerebral palsy, and Parkinson's disease. It also features a pediatric kit, making it usable for children aged six and up, as well as adults.
Key features include various transfer options for patients with different mobility levels, a PELVIS PLUS guidance system for lateral and vertical support, and a compact design. The quick setup time is intended to maximize effective therapy time and reduce the workload for therapists, allowing for more direct patient interaction. The training focuses on demanding self-activity from the patient to retrain physiological walking patterns and prevent learned non-use of an affected side.
Keywords: robotic rehabilitation, gait training, neurological recovery, lower limb therapy, end-effector device, neurorehabilitation, physical therapy technology, stroke rehabilitation, spinal cord injury therapy, active walking, biofeedback, gamification in therapy, Tyromotion, patient mobilization, physical medicine, assistive technology, movement restoration, motor pattern retraining, rehabilitation robotics, gait analysis