LINarm: a low-cost variable stiffness device for upper-limb rehabilitation

This paper presents LINarm, a device for at-home robotic upper-limb neurorehabilitation. Exploiting peculiar aspects of variable-stiffness actuators, it features functionalities widely addressed by devices specifically designed for assisted rehabilitation as controlled motion, force feedback and safety, together with the low-cost requirement for a widespread installation at patients' home.

[1]  R Colombo,et al.  Robot-aided neurorehabilitation in sub-acute and chronic stroke: does spontaneous recovery have a limited impact on outcome? , 2013, NeuroRehabilitation.

[2]  N. Pedrocchi,et al.  Proprioceptivity and upper-extremity dynamics in robot-assisted reaching movement , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[3]  N. Hogan,et al.  Robotics and other devices in the treatment of patients recovering from stroke , 2004, Current neurology and neuroscience reports.

[4]  N. Hogan,et al.  Interactive robots for neuro-rehabilitation. , 2004, Restorative neurology and neuroscience.

[5]  Matteo Malosio,et al.  Upper limb robotic rehabilitation: Treatment customization , 2013 .

[6]  Eliseo Stefano Maini,et al.  Using Kinematic Analysis to Evaluate Constraint-Induced Movement Therapy in Chronic Stroke Patients , 2008, Neurorehabilitation and neural repair.

[7]  K. Sunnerhagen,et al.  Movement Kinematics During a Drinking Task Are Associated With the Activity Capacity Level After Stroke , 2012, Neurorehabilitation and neural repair.

[8]  N. Hogan,et al.  Overview of clinical trials with MIT-MANUS: a robot-aided neuro-rehabilitation facility. , 1999, Technology and health care : official journal of the European Society for Engineering and Medicine.

[9]  A. Prochazka.  Passive Devices for Upper Limb Training , 2012 .

[10]  Maria Chiara Carrozza,et al.  Upper Limb Robot-Assisted Therapy in Chronic and Subacute Stroke Patients: A Kinematic Analysis , 2013, American journal of physical medicine & rehabilitation.

[11]  D. Reinkensmeyer,et al.  Review of control strategies for robotic movement training after neurologic injury , 2009, Journal of NeuroEngineering and Rehabilitation.

[12]  Manuel G. Catalano,et al.  Variable impedance actuators: A review , 2013, Robotics Auton. Syst..