Development of image-projective desktop arm trainer, IDAT

Aim to improve upper limb rehabilitation effect, we design and develop an Image-projective Desktop Arm Trainer (IDAT). Compared with conventional therapy, IDAT provides a more effective and interesting training method. IDAT's goal is to maintain and improve patients' upper limb function by training their eye-hand coordination. We select step-on interface (SOI) as the input system which makes trainees can operate IDAT with hand directly. Trainees can make a customized training setting. It can provide motivation and accomplishment to trainees and maintain their enthusiasm and interest. So IDAT provides a much different human robot interaction with pervious upper limb rehabilitation robots that equip a joystick or controller to operate remotely. We propose this idea in 2007 and have applied SOI on some mobile robots. Now we apply it on IDAT to make a new way to upper limb rehabilitation.

[1]  C. Burgar,et al.  MIME robotic device for upper-limb neurorehabilitation in subacute stroke subjects: A follow-up study. , 2006, Journal of rehabilitation research and development.

[2]  Yuichi Ito,et al.  Truly-Tender-Tailed Tag-Playing Robot Interface Through Friendly Amusing Mobile Function , 2010, J. Robotics Mechatronics.

[3]  N. Hogan,et al.  The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. , 1997, Archives of neurology.

[4]  Ruth Bonita,et al.  The worldwide burden of stroke: current status and future projections. , 2009, Handbook of clinical neurology.

[5]  C. Burgar,et al.  Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. , 2002, Archives of physical medicine and rehabilitation.

[6]  Stefanie van Kaick,et al.  Reo assessment to guide the ReoGo Therapy: Reliability and validity of novel robotic scores , 2009, 2009 Virtual Rehabilitation International Conference.

[7]  H. Krebs,et al.  Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review , 2008, Neurorehabilitation and neural repair.

[8]  Grant D. Huang,et al.  Robot-assisted therapy for long-term upper-limb impairment after stroke. , 2010, The New England journal of medicine.

[9]  Robert Riener,et al.  Online learning and adaptation of patient support during ADL training , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[10]  Takafumi Matsumaru,et al.  Step-on interface on mobile robot to operate by stepping on projected button , 2009 .

[11]  Takafumi Matsumaru A Characteristics Measurement of Two-Dimensional Range Scanner and its Application , 2009 .

[12]  Hermano Igo Krebs,et al.  MIT-MANUS: a workstation for manual therapy and training II , 1993, Other Conferences.

[13]  C. Mathers,et al.  Preventing stroke: saving lives around the world , 2007, The Lancet Neurology.

[14]  Hermano Igo Krebs,et al.  MIT-MANUS: a workstation for manual therapy and training. I , 1992, [1992] Proceedings IEEE International Workshop on Robot and Human Communication.

[15]  B. Brewer,et al.  Poststroke Upper Extremity Rehabilitation: A Review of Robotic Systems and Clinical Results , 2007, Topics in stroke rehabilitation.

[16]  Robert Riener,et al.  ARMin: a robot for patient-cooperative arm therapy , 2007, Medical & Biological Engineering & Computing.

[17]  H. F. Machiel van der Loos,et al.  Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. , 2000, Journal of rehabilitation research and development.