Design of a robotic device for assessment and rehabilitation of hand sensory function

This paper presents the design and implementation of the Robotic Sensory Trainer, a robotic interface for assessment and therapy of hand sensory function. The device can provide three types of well controlled stimuli: (i) angular displacement at the metacarpophalangeal (MCP) joint using a remote-center-of-motion double-parallelogram structure, (ii) vibration stimuli at the fingertip, proximal phalange and palm, and (iii) pressure at the fingertip, while recording position, interaction force and feedback from the user over a touch screen. These stimuli offer a novel platform to investigate sensory perception in healthy subjects and patients with sensory impairments, with the potential to assess deficits and actively train detection of specific sensory cues in a standardized manner. A preliminary study with eight healthy subjects demonstrates the feasibility of using the Robotic Sensory Trainer to assess the sensory perception threshold in MCP angular position. An average just noticeable difference (JND) in the MCP joint angle of 2.46° (14.47%) was found, which is in agreement with previous perception studies.

[1]  D. McCloskey,et al.  Detections of movements imposed on finger, elbow and shoulder joints. , 1983, The Journal of physiology.

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

[3]  R. Johansson,et al.  Tactile sensibility in the human hand: relative and absolute densities of four types of mechanoreceptive units in glabrous skin. , 1979, The Journal of physiology.

[4]  Y. Matsuoka,et al.  Perceptual limits for a robotic rehabilitation environment using visual feedback distortion , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[5]  S Weinstein,et al.  Testing sensibility, including touch-pressure, two-point discrimination, point localization, and vibration. , 1993, Journal of hand therapy : official journal of the American Society of Hand Therapists.

[6]  Grigore C. Burdea,et al.  Force and Touch Feedback for Virtual Reality , 1996 .

[7]  T. Platz,et al.  Electromechanical and robot-assisted arm training for improving arm function and activities of daily living after stroke. , 2008, The Cochrane database of systematic reviews.

[8]  Roger A. Baumann,et al.  The PantoScope: a spherical remote-center-of-motion parallel manipulator for force reflection , 1997, Proceedings of International Conference on Robotics and Automation.

[9]  Joachim Hermsdörfer,et al.  Grip force behavior during object manipulation in neurological disorders: Toward an objective evaluation of manual performance deficits , 2005, Movement disorders : official journal of the Movement Disorder Society.

[10]  R. Gassert,et al.  A Cable Driven Robotic System to Train Finger Function After Stroke , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[11]  R. Gassert,et al.  Augmented white cane with multimodal haptic feedback , 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[12]  M. Risling,et al.  Distribution of Human Pacinian Corpuscles in the Hand , 1998, Journal of hand surgery.

[13]  Christine M. Haslegrave,et al.  Bodyspace: Anthropometry, Ergonomics and the Design of Work, Third Edition , 2016 .

[14]  J. Kalker,et al.  Biomechanics of the finger with anatomical restrictions--the significance for the exercising hand of the musician. , 1992, Journal of biomechanics.

[15]  M. Griffin,et al.  Thresholds for the perception of hand-transmitted vibration: Dependence on contact area and contact location , 2005, Somatosensory & motor research.

[16]  M A Srinivasan,et al.  Manual discrimination of compliance using active pinch grasp: The roles of force and work cues , 1995, Perception & psychophysics.

[17]  P. Yarnell,et al.  Light Touch Thresholds in Normal Persons and Cerebral Vascular Disease Patients: Bilateral Deficit After Unilateral Lesion , 1980, Stroke.

[18]  M. Hollins,et al.  Vibrotaction and texture perception , 2002, Behavioural Brain Research.

[19]  Maurizio Corbetta,et al.  Thumb-pointing in humans after damage to somatic sensory cortex , 1996, Experimental Brain Research.

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

[21]  N. Hogan,et al.  A comparison of functional and impairment-based robotic training in severe to moderate chronic stroke: a pilot study. , 2008, NeuroRehabilitation.

[22]  Etienne Burdet,et al.  Rehabilitation of grasping and forearm pronation/supination with the Haptic Knob , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[23]  A. Meyer-Heim,et al.  A Paediatric Interactive Therapy System for arm and hand rehabilitation , 2008, 2008 Virtual Rehabilitation.

[24]  B. Volpe,et al.  Kinematic Robot-Based Evaluation Scales and Clinical Counterparts to Measure Upper Limb Motor Performance in Patients With Chronic Stroke , 2010, Neurorehabilitation and neural repair.

[25]  Maarten J. IJzerman,et al.  Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. , 2006, Journal of rehabilitation research and development.

[26]  Hong Z. Tan,et al.  Discrimination and identification of finger joint-angle position using active motion , 2007, TAP.

[27]  J. Krakauer,et al.  Error correction, sensory prediction, and adaptation in motor control. , 2010, Annual review of neuroscience.

[28]  W.J. Tompkins,et al.  Electrotactile and vibrotactile displays for sensory substitution systems , 1991, IEEE Transactions on Biomedical Engineering.

[29]  B. Bobath.  Adult hemiplegia: Evaluation and treatment , 1978 .

[30]  Sally Bennett,et al.  Interventions for sensory impairment in the upper limb after stroke. , 2010, The Cochrane database of systematic reviews.

[31]  M Yekutiel,et al.  A controlled trial of the retraining of the sensory function of the hand in stroke patients. , 1993, Journal of neurology, neurosurgery, and psychiatry.