InMotion® Interactive Therapy enables clinicians to efficiently deliver intensive motor therapy to help patients regain motor function following a neurological condition or injury. This new generation InMotion ARM® is an evidence-based neurorehabilitation technology that provides patients with real-time Assistance-as-Needed™. The InMotion ARM® quietly monitors the patient’s movements during therapy while it gently assists where needed to help them complete various motor therapy activities.
The InMotion® Robots are used for neurorehabilitation in over 20 countries, including the United States. Extensive research has shown InMotion® robots to be effective for wide range of motor impairments including: Stroke, Cerebral Palsy, Spinal Cord Injury, Multiple Sclerosis, Parkinson’s Disease, hemiplegic shoulder pain and muscle spasticity.
For more information, or to schedule an on-site demonstration of the New Generation InMotion ARM®, please email us at firstname.lastname@example.org or call our U.S. office at (617) 926-4800.
Tailor motor therapy to the patient’s needs with adaptive therapy protocols and easy-to-use InMotion® Software:
* Bosecker Caittlyn MS, Dipietro Laura, Volpe BT, Krebs HI “Kinematic Robot-Based Evaluation Scales and Clinical Counterparts to Measure Upper Limb Motor Performance in Patients With Chronic Stroke” Neurorehabilitation and Neural Repair 24(1) 62-69 , 2010.
1 Robot training enhanced motor outcome in patients with stroke maintained over 3 years. Neurology. Volpe BT, Krebs HI, Hogan N, Edelsteinn L, Diels CM, Aisen ML. 1999;53:1874 –1876.
2 Krebs, H.I., et al., “Rehabilitation Robotics: Pilot Trial of a Spatial Extension for MIT-MANUS,” Journal of NeruoEngineering and Rehabilitation, Biomedcentral, 1:5 (2004)
Klein Julius, Spencer Steven J,Reinkensmeyer David J. “Breaking It Down Is Better: Haptic Decomposition of Complex Movements Aids in Robot-Assisted Motor Learning” ieee Transactions On Neural Systems And Rehabilitation Engineering, VOL. 20, NO. 3, MAY 2012
Krakauer John W, Carmichael Thomas S, Corbett Dale, Wittenberg George F, “Getting neurorehabilitation right: What Can Be Learned From Animal Models?” Neurorehabilitation and Neural Repair, published online March 30 2012
Dipietro, H.I. Krebs, B.T. Volpe, J. Stein, C. Bever, S.T. Mernoff, S.E. Fasoli, and N. Hogan “Learning, not Adaptation, Characterizes Stroke Motor Recovery: Evidence from Kinematic Changes Induced by Robot-Assisted Therapy in Trained and Untrained Task in the Same Workspace.” IEEE transactions on neural systems and rehabilitation engineering 2012 Jan:20(1):48-57