Tele-Evaluation Based on Quality and Quantity of Hemiplegic Children’s Movements

M. Elsaeh (1) , M. Djemai (2) , M. Bouri (3)
(1) Faculty of Information Technology, Sebha University, Sebha, Libya,
(2) Laboratory of Industrial and Human Automation control, Mechanical Engineering and Computer Science CNRS UMR 8201, Université Polytechnique Hauts-de-France, France,
(3) Robotic Systems Laboratory, Institute for Microengineering École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland

Abstract

Continuation of rehabilitation processes is a key element for success. Home-based therapy has become one of the major types of therapy in terms of continuation. Evaluating patients’ progress in home therapy is critical for therapeutics. This study concerns mainly simulating human techniques of evaluation by recruiting available mathematics methods in order to make assessment decisions. A haptic device is embedded with virtual reality scenarios in order to build the upper limb tele-rehabilitation system. The fuzzy logic concept is used in this novel evaluation method to enable us to ensemble both I) data related to the quality of movements and II) data related to the quantity of those movements. Then, calculate the functional enhancement of concerned affected upper limbs by studying the changes of the function motions of those limbs. Finally, provide therapists with objective evaluation to help them judge the rehab process. The evaluation system was used for two children who were using the rehab system.     

Full text article

Generated from XML file

References

[1]-Newman, Michael. "The process of recovery: After hemiplegia."Stroke3.6 (1972): 702-710.

[2]-Trombly, Catherine Anne, and Anna Deane Scott.Occupational therapy for physical dysfunction. Baltimore: Williams & Wilkins, 1977.

[3]-Mohammed Elsaeh, Philippe Pudlo, Mohamed Djemai, Mohamed Bouri, Andre Thevenonand Isabelle Heymann (0212) “Stratégie de contrôle haptique pour la réhabilitation du member supérieur atteint de l'enfant hémiplégique”, Actualités en Médecine Physique et de Réadaptation, jan-fév-mars 2017, pp. 28-29

[4]-C. A. Giuliani, Dorsal rhizotomy forchildren with cerebral palsy: support for concepts of motor control, J Phys Ther 71 (1991) 248/59.

[5]-Nicholson, J. H., et al. "Assessment of upper-limb function and movement in children with cerebral palsy wearing lycra garments."Developmental Medicine andChild Neurology43.6 (2001): 384-391.

[6]-Sukal-Moulton, Theresa, et al. "Motor impairment factors related to brain injury timing in early hemiparesis, part I: expression of upper-extremity weakness."Neurorehabilitation and neural repair28.1 (2014): 13-23.

[7]-

[7] Song, Chiang-Soon. "Effects of task-oriented approach on affected arm function in children with spastic hemiplegia due to cerebral palsy."Journal of physical therapy science26.6 (2014): 797-800.

[8]-Klamroth-Marganska, Verena, et al. "Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial."The Lancet Neurology13.2 (2014): 159-166.

[9]-Elsaeh, M., et al. "The effects of haptic-virtual reality game therapy on brain-motor coordination for childrenwith hemiplegia: A pilot study."2017 International Conference on Virtual Rehabilitation (ICVR). IEEE, 2017.

[10]-Berglund, K., and A. R. Fugl-Meyer. "Upper extremity function in hemiplegia. A cross-validation study of two assessment methods."Scandinavian Journal of Rehabilitation Medicine18.4 (1986): 155-157.

[11]-Garland, S. Jayne, Ted J. Stevenson, and T. Ivanova. "Postural responses to unilateral arm perturbation in young, elderly, and hemiplegic subjects."Archives of physical medicine and rehabilitation78.10(1997): 1072-1077.

[12]-Lang, Catherine E., et al. "Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making."Journal of Hand Therapy26.2 (2013): 104-115.

[13]-Swinkels, Raymond AHM, et al. "Current use and barriers and facilitators for implementation of standardised measures in physical therapy in the Netherlands."BMC musculoskeletal disorders12.1 (2011): 106.

[14]-K. Potter, Outcome measures in neurological physical therapy practice: Part i. making sound decisions, J Neurol Phys Ther 35 (2011) 5764.

[15]-D. U. Jette, Use of standardized outcome measures in physical therapist practice : Perceptions and applications, Phys The r 89 (2009) 125135.

[16]-Takahashi, Yoshiyuki, et al. "Haptic Device System for Upper Limband Cognitive Rehabilitation–Application for Development Disorder Children."Haptics rendering and applications. IntechOpen, 2012.

[17]-Lam, Paul, et al. "A haptic-robotic platform for upper-limb reaching stroke therapy: Preliminary design and evaluation results."Journal of NeuroEngineering and Rehabilitation5.1 (2008): 15.

[18]-Broeren, Jurgen, et al. "Rehabilitation after stroke using virtual reality, haptics (force feedback) and telemedicine."Studies in health technology and informatics124 (2006): 51.

[19]-Hesse, Stefan, et al. "Upper and lower extremity robotic devices for rehabilitation and for studying motor control."Current opinion in neurology16.6 (2003): 705-710.

[20]-Lum, Peter S., et al. "Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke."Archives of physical medicine and rehabilitation83.7 (2002): 952-959.

[21]-Hussain, Shahid, Sheng Q. Xie, and Prashant K. Jamwal. "Adaptiveimpedance control of a robotic orthosis for gait rehabilitation."IEEE transactions on cybernetics43.3 (2013): 1025-1034.

[22]-Hesse, Stefan, et al. "Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects."Archives of physical medicine and rehabilitation84.6 (2003): 915-920.

[23]-K. Y. Chan, U. Engelke, Fuzzy regression for perceptual image quality assessment, Engineering Applications of Artificial Intelligence 43 (2015) 102 –110.

[24]-T. Kempowsky, A. Subias, J. Aguilar-Martin, Process situation assessment: From a fuzzy partition to a finite state machine, Engineering Applications of Artificial Intelligence 19 (5) (2006) 461 –477.

[25]-L. A. Zadeh, Fuzzy sets, Information and Control 8 (3) (1965) 338353.

Authors

M. Elsaeh
M. Djemai
M. Bouri
Elsaeh, M., Djemai, M., & Bouri, M. (2020). Tele-Evaluation Based on Quality and Quantity of Hemiplegic Children’s Movements. Journal of Pure & Applied Sciences , 19(1), 1-10. https://doi.org/10.51984/jopas.v19i1.534

Article Details

How to Cite

Elsaeh, M., Djemai, M., & Bouri, M. (2020). Tele-Evaluation Based on Quality and Quantity of Hemiplegic Children’s Movements. Journal of Pure & Applied Sciences , 19(1), 1-10. https://doi.org/10.51984/jopas.v19i1.534

Similar Articles

You may also start an advanced similarity search for this article.