A Portable Telerehabilitation System for Remote Evaluations of Impaired Elbows in Neurological Disorders

A portable teleassessment system was designed for remote evaluation of elbow impairments in patients with neurological disorders. A master device and a slave device were used to drive a mannequin arm and the patient's arm, respectively. The elbow flexion angle and torque were measured at both the master and slave devices, and sent to each other for teleoperation. To evaluate spasticity/contracture of the patient's elbow remotely, the clinician asked the patient to relax the elbow, moved the mannequin arm at a selected velocity, and haptically felt the resistance from the patient's elbow. In other tasks, the patient moved his/her elbow voluntarily and the clinician observed the corresponding mannequin arm movement and determined the active range of motion (ROM). The clinician could also remotely resist the patient's movement and evaluate the muscle strength. To minimize the effect of network latency, two different teleoperation schemes were used depending on the speed of the tasks. For slow movement tasks, real-time teleoperations were performed using control architectures that considered causality of the tasks, with performance similar to that during an in-person examination. For tasks involving fast movements, a teach-and-replay teleoperation scheme was used which provided the examiner with transparent and stable haptic feeling. Overall, the teleassessment system allowed the clinician to remotely evaluate the impaired elbow of stroke survivors, including assessment of the passive ROM, active ROM, muscle strength, velocity-dependent spasticity, and catch angle.

[1]  Qiyu Peng,et al.  Measurement of ankle spasticity in children with cerebral palsy using a manual spasticity evaluator , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Lance Jw Disordered muscle tone and movement. , 1981 .

[3]  Blake Hannaford,et al.  Stable haptic interaction with virtual environments , 1999, IEEE Trans. Robotics Autom..

[4]  R. Salter,et al.  The biologic concept of continuous passive motion of synovial joints. The first 18 years of basic research and its clinical application. , 1989, Clinical orthopaedics and related research.

[5]  Sreeram Dhurjaty The economics of telerehabilitation. , 2004, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[6]  Hyung-Soon Park,et al.  A low-cost portable tele-rehabilitation system for the treatment and assessment of the elbow deformity of stroke patients , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[7]  D.J. Reinkensmeyer,et al.  Web-based telerehabilitation for the upper extremity after stroke , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  Linsey M Barker,et al.  The effect of videoconference-based telerehabilitation on story retelling performance by brain-injured subjects and its implications for remote speech-language therapy. , 2004, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[9]  Manuel Menezes de Oliveira Neto,et al.  Transatlantic Touch: A Study of Haptic Collaboration over Long Distance , 2004, Presence: Teleoperators & Virtual Environments.

[10]  Yutaka Ishibashi,et al.  Group synchronization control for haptic media in networked virtual environments , 2004, 12th International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2004. HAPTICS '04. Proceedings..

[11]  Huiru Zheng,et al.  Position-sensing technologies for movement analysis in stroke rehabilitation , 2005, Medical and Biological Engineering and Computing.

[12]  L. Mackenzie,et al.  Starting out in rural New South Wales: the experiences of new graduate occupational therapists. , 2003, The Australian journal of rural health.

[13]  V L Phillips,et al.  Depression, fatigue, and health-related quality of life among people with advanced multiple sclerosis: results from an exploratory telerehabilitation study. , 2003, NeuroRehabilitation.

[14]  J. Spetz,et al.  The Nursing Shortage: Is It Really About Image? , 2006, Journal of healthcare management / American College of Healthcare Executives.

[15]  Mark W. Spong,et al.  Bilateral control of teleoperators with time delay , 1989 .

[16]  G. Johnson,et al.  A systematic review of the Tardieu Scale for the measurement of spasticity , 2006, Disability and rehabilitation.

[17]  P Mattioli,et al.  Practical evaluation of standard-based low-cost video conferencing in telemedicine and epidemiological applications. , 1999, Medical informatics and the Internet in medicine.

[18]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[19]  C. Hui-Chan,et al.  Evaluating the efficacy of tele-cognitive rehabilitation for functional performance in three case studies. , 2003, Occupational therapy international.

[20]  A. Moseley,et al.  The effect of casting combined with stretching on passive ankle dorsiflexion in adults with traumatic head injuries. , 1997, Physical therapy.

[21]  C. Patten,et al.  Reliability of elbow stretch reflex assessment in chronic post-stroke hemiparesis , 2005, Clinical Neurophysiology.

[22]  Yupeng Ren,et al.  Measurement of Elbow Spasticity in Stroke Patients Using a Manual Spasticity Evaluator , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[23]  Laura H Schopp,et al.  Design of a peer-to-peer telerehabilitation model. , 2004, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[24]  Jean-Jacques E. Slotine,et al.  Stable Adaptive Teleoperation , 1990, 1990 American Control Conference.

[25]  S. Munir,et al.  Internet based teleoperation using wave variables with prediction , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

[26]  W. Rymer,et al.  Guidance-based quantification of arm impairment following brain injury: a pilot study. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[27]  Hyung-Soon Park,et al.  Significance of Causality Analysis for Transparent Teleoperation , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[28]  R. Young,et al.  Spasticity, disordered motor control , 1980 .

[29]  Pyung Hun Chang,et al.  Causality analysis using bond-graph and its significance in bilateral teleoperation , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  Craig R. Carignan,et al.  Cooperative control of virtual objects over the Internet using force-reflecting master arms , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[31]  Kawaljeet Kaur,et al.  Prototype database for telerehabilitation. , 2004, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[32]  T. Sanger Pathophysiology of Pediatric Movement Disorders , 2003, Journal of child neurology.

[33]  George R. Hepburn,et al.  Case Studies: Contracture and Stiff Joint Management with Dynasplint™* , 1987 .

[34]  Dale A. Lawrence Stability and transparency in bilateral teleoperation , 1993, IEEE Trans. Robotics Autom..

[35]  E. Roth,et al.  Development of an intelligent stretching device for ankle joints with contracture/spasticity , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[36]  Septimiu E. Salcudean,et al.  Analysis of Control Architectures for Teleoperation Systems with Impedance/Admittance Master and Slave Manipulators , 2001, Int. J. Robotics Res..

[37]  W.K. Durfee,et al.  Technical Feasibility of Teleassessments for Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[38]  Blake Hannaford,et al.  Time domain passivity control of haptic interfaces , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[39]  Blake Hannaford,et al.  Stable teleoperation with time-domain passivity control , 2004, IEEE Trans. Robotics Autom..

[40]  Shigeyuki Hosoe,et al.  Cooperative control with haptic visualization in shared virtual environments , 2004 .

[41]  Cagatay Basdogan,et al.  An experimental study on the role of touch in shared virtual environments , 2000, TCHI.

[42]  Hermano I Krebs,et al.  Telerehabilitation robotics: bright lights, big future? , 2006, Journal of rehabilitation research and development.

[43]  J. E. Gamble,et al.  Value-chain analysis of a rural health program: toward understanding the cost benefit of telemedicine applications. , 2004, Hospital Topics.

[44]  Blake Hannaford,et al.  Stable teleoperation with time-domain passivity control , 2002, IEEE Transactions on Robotics and Automation.

[45]  B. Ashworth PRELIMINARY TRIAL OF CARISOPRODOL IN MULTIPLE SCLEROSIS. , 1964, The Practitioner.

[46]  R Adams,et al.  Measurement of passive ankle dorsiflexion: Procedure and reliability. , 1991, The Australian journal of physiotherapy.

[47]  Roslyn N. Boyd,et al.  Objective measurement of clinical findings in the use of botulinum toxin type A for the management of children with cerebral palsy , 1999 .

[48]  S. Palsbo,et al.  Medicaid payment for telerehabilitation. , 2004, Archives of physical medicine and rehabilitation.

[49]  Linsey M. Barker,et al.  Telerehabilitation and its effect on story retelling by adults with neurogenic communication disorders , 2004 .

[50]  Elsie Hui,et al.  Telerehabilitation — a new model for community-based stroke rehabilitation , 2004, Journal of telemedicine and telecare.

[51]  R. Young Spasticity: A review , 1994, Neurology.

[52]  Ying Zhang,et al.  Understanding network delay changes caused by routing events , 2007, SIGMETRICS '07.

[53]  Grigore C. Burdea,et al.  A virtual-reality-based telerehabilitation system with force feedback , 2000, IEEE Transactions on Information Technology in Biomedicine.