Control systems for robotic gloves

A robotic glove designed to help stroke patients regain movement of their hands has been developed as part of a collaborative project in Romania. The robotic glove has been designed to facilitate repetitive movement and exercise of the hand of patients within the chronic stage of illness and after they have been released from hospital. A method for the analysis of flexion-extension movement of both human and anthropomorphic robotic finger is presented. Two types of control systems developed for robotic gloves and two implemented methods of recuperative actions are presented, too.

[1]  M. Chen,et al.  An intention driven hand functions task training robotic system , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[2]  S. Leonhardt,et al.  A survey on robotic devices for upper limb rehabilitation , 2014, Journal of NeuroEngineering and Rehabilitation.

[3]  Paul D McGeoch,et al.  The appearance of new phantom fingers post-amputation in a phocomelus , 2012, Neurocase.

[4]  George M. Whitesides,et al.  Towards a soft pneumatic glove for hand rehabilitation , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Yongji Wang,et al.  A Wearable Rehabilitation Robotic Hand Driven by PM-TS Actuators , 2010, ICIRA.

[6]  G. Gini,et al.  An EMG-controlled exoskeleton for hand rehabilitation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[7]  Dongrong Xu,et al.  Functional reorganization associated with outcome in hand function after stroke revealed by regional homogeneity , 2013, Neuroradiology.

[8]  Nikos G. Tsagarakis,et al.  A portable rehabilitation device for the Hand , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[9]  Rahsaan J. Holley,et al.  Hand Spring Operated Movement Enhancer (HandSOME): A Portable, Passive Hand Exoskeleton for Stroke Rehabilitation , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  W. Rymer,et al.  Effect of robot-assisted and unassisted exercise on functional reaching in chronic hemiparesis , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  P. Gallina,et al.  Design of a new 5 d.o.f. wire-based robot for rehabilitation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[12]  Steven C Cramer,et al.  Robotics, motor learning, and neurologic recovery. , 2004, Annual review of biomedical engineering.

[13]  L. Der-Yeghiaian,et al.  Robot-based hand motor therapy after stroke. , 2007, Brain : a journal of neurology.

[14]  J. Patton,et al.  Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors , 2005, Experimental Brain Research.

[15]  J. Mehrholz,et al.  Computerized Arm Training Improves the Motor Control of the Severely Affected Arm After Stroke: A Single-Blinded Randomized Trial in Two Centers , 2005, Stroke.

[16]  Paul S Addison,et al.  Wavelet transforms and the ECG: a review , 2005, Physiological measurement.

[17]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..