Patients’ follow-up using biomechanical analysis of rehabilitation exercises
DOI:
https://doi.org/10.17083/ijsg.v4i1.121Keywords:
Serious games, new technology, assessment, biomechanical analysisAbstract
Thanks to the evolution of game controllers video games are becoming more and more popular in physical rehabilitation. The integration of serious games in rehabilitation has been tested for various pathologies. Parallel to this clinical research, a lot of studies have been done in order to validate the use of these game controllers for simple biomechanical evaluation. Currently, it is thus possible to record the motions performed by the patients during serious gaming exercises for later analysis. Therefore, data collected during the exercises could be used for monitoring the evolution of the patients during long term rehabilitation. Before using the parameters extracted from the games to assess patients’ evolution two important aspects must be verified: the reproducibility of measurement and a possible effect of learning of the task to be performed. Ten healthy adults played 9 sessions of specific games developed for rehabilitation over a 3-weeks period. Nineteen healthy children played 2 sessions to study the influence of age. Different parameters were extracted from the games: time, range of motion, reaching area. Results of this study indicates that it is possible to follow the evolution of the patients during the rehabilitation process. The majority of the learning effect occurred during the very first session. Therefore, in order to allow proper regular monitoring, the results of this first session should not be included in the follow-up of the patient.
References
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[25] http://www.microsoft.com/en-us/kinectforwindows/develop/downloads-docs.aspx
[26] Bonnechère, B., Jansen, B., Salvia, P., Bouzahouene, H., Sholukha, V., Cornelis, J., Rooze, M., Van Sint Jan, S. “Determination of the precision and accuracy of morphological measurements using the Kinect™ sensor: comparison with standard stereophotogrammetry.” Ergonomics. vol 57(4), pp. 622-31. 2014 https://doi.org/10.1080/00140139.2014.884246
[27] Kagerer, F.A.. “Control of discrete bimanual movements: How each hand benefits from the other”. Neurosci Lett. vol 584, pp. 33-8. 2015 https://doi.org/10.1016/j.neulet.2014.10.002
[28] Lee, D., Lee, M., Lee, K., Song, C.. “Asymmetric training using virtual reality reflection equipment and the enhancement of upper limb function in stroke patients: a randomized controlled trial”. J Stroke Cerebrovasc Dis. vol 23(6), pp. 1319-26. 2014 https://doi.org/10.1016/j.jstrokecerebrovasdis.2013.11.006
[29] van Delden, A.L., Beek, P.J, Roerdink, M., Kwakkel, G., Peper, C.L. “Unilateral and Bilateral Upper-Limb Training Interventions After Stroke Have Similar Effects on Bimanual Coupling Strength”. Neurorehabil Neural Repair. [Epub ahead of print]. 2014
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[2] Putrino, D., “Telerehabilitation and emerging virtual reality approaches to stroke rehabilitation.” Curr Opin Neurol. vol 27(6), pp. 631-6. 2014 https://doi.org/10.1097/WCO.0000000000000152
[3] Arias, P., Robles-García, V., Sanmartín, G., Flores, J., Cudeiro, J. “Virtual reality as a tool for evaluation of repetitive rhythmic movements in the elderly andParkinson's disease patients.” PLoS One. vol 7(1), e30021. 2012 https://doi.org/10.1371/journal.pone.0030021
[4] Webster, D., Celik, O. “Systematic review of Kinect applications in elderly care and stroke rehabilitation.” J Neuroeng Rehabil. vol 11, pp. 108-32. 2014 https://doi.org/10.1186/1743-0003-11-108
[5] Anton, D., Goni, A, Illarramendi, A. “Exercise recognition for Kinect-based Telerehabilitation”. Methods Inf Med, vol 54(2), pp145-55. 2015 https://doi.org/10.3414/ME13-01-0109
[6] van Dooren, M., Visch, V., Spijkerman, R., Goossens, R., Hendriks, V. “Personalization in Game Design for Healthcare: a literature review on its definitions and effects”. IJSG, vol 3(4), pp. 3-25. 2016 https://doi.org/10.17083/ijsg.v3i4.134
[7] Omelina, L., Jansen, B., Bonnechère, B., Van Sint Jan, S., Cornelis, J. “Serious games for physical rehabilitation : designing highly configurable and adaptable games.” In Proc 9th Intl Conf. Disability, Virutal Reality & Associated Technologies, Laval, France. 2012. 195-201
[8] van Diest, M., Stegenga, J., Wörtche, H.J., Postema, K., Verkerke, G.J., Lamoth, C.J.. “Suitability of Kinect for measuring whole body movement patterns during exergaming”. J Biomech. Vol 47(12), pp.2925-32. 2014 https://doi.org/10.1016/j.jbiomech.2014.07.017
[9] Clark, R.A., Bryant, A.L., Pua, Y., McCrory, P., Bennell, K., Hunt, M. Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. Gait Posture. vol 31(3), pp. 307-10. 2010 https://doi.org/10.1016/j.gaitpost.2009.11.012
[10] Huurnink, A., Fransz, D.P., Kingma, I., van Dieën, J.H.. “Comparison of a laboratory grade force platform with a Nintendo Wii Balance Board on measurement of postural control in single-leg stance balance tasks”. J Biomech. vol 46(7): pp.1392-5. 2013 https://doi.org/10.1016/j.jbiomech.2013.02.018
[11] Bartlett, H.L., Ting, L.H., Bingham, J.T.. “Accuracy of force and center of pressure measures of the Wii Balance Board”. Gait Posture. vol 39(1), pp. 224-8. 2014 https://doi.org/10.1016/j.gaitpost.2013.07.010
[12] Holmes, J.D., Jenkins, M.E., Johnson, A.M., Hunt, M.A., Clark, R.A.. (2013) “Validity of the Nintendo Wii® balance board for the assessment of standing balance in Parkinson's disease”. Clin Rehabil. vol 27(4), pp. 361-6. 2013 https://doi.org/10.1177/0269215512458684
[13] Howells, B.E., Clark, R.A., Ardern, C.L., Bryant, A.L., Feller, J.A., Whitehead, T.S., Webster, K.E.. (2013) “The assessment of postural control and the influence of a secondary task in people with anterior cruciate ligament reconstructed knees using a Nintendo Wii Balance Board”. Br J Sports Med. vol 47(14), pp. 914-9. 2013 https://doi.org/10.1136/bjsports-2012-091525
[14] Koslucher, F., Wade, M.G., Nelson, B., Lim, K., Chen, F.C., Stoffregen, T.A. (2012) “Nintendo Wii Balance Board is sensitive to effects of visual tasks on standing sway in healthy elderly adults”. Gait Posture. vol 36(3), pp. 605-8. 2012 https://doi.org/10.1016/j.gaitpost.2012.05.027
[15] Young, W., Ferguson, S., Brault, S., Craig, C., “Assessing and training standing balance in older adults: a novel approach using the 'Nintendo Wii' Balance Board”. Gait Posture. vol 33(2), pp. 303-5. 2011 https://doi.org/10.1016/j.gaitpost.2010.10.089
[16] Pagnacco, G., Bundle, M.W., Carrick, F.R., Wright, C.H., Oggero, E. “Letter to the editor: On “Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance” by R.A. Clark et al. [Gait & Posture 31 (2010) 307–310]: are the conclusions stated by the authors justified?” Gait Posture. vol 39(4), pp. 1150-1. 2014
[17] Pagnacco, G., Wright, C.H., Oggero, E., Bundle, M.W., Carrick, F.R. “On "Comparison of a laboratory grade force platform with a Nintendo Wii Balance Board on measurement of postural control in single-leg stance balance tasks" by Huurnink, A., et al. [J. Biomech 46(7) (2013) 1392]: Are the conclusions stated by the authors justified?” J Biomech. vol 47(3), pp. 759-60. 2014 https://doi.org/10.1016/j.jbiomech.2013.06.039
[18] Clark, R.A., Pua, Y.H., Fortin, K., Ritchie, C., Webster, K.E., Denehy, L., Bryant, A. L.”Validity of the Microsoft Kinect for assessment of postural control.” Gait Posture. vol 36(3), pp. 372-7. 2012 https://doi.org/10.1016/j.gaitpost.2012.03.033
[19] Pfister, A., West, A.M., Bronner, S., Noah, J. A. “Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis”. J Med Eng Technol.vol 38(5), pp. 274-80. 2014 https://doi.org/10.3109/03091902.2014.909540
[20] Bonnechère, B., Jansen, B., Salvia, P., Bouzahouene, H., Omelina, L., Moiseev, F., Sholukha, V., Cornelis, J., Rooze, M., Van Sint Jan, S. “Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry”. Gait Posture. vol 39(1), pp. 593-8. 2014 https://doi.org/10.1016/j.gaitpost.2013.09.018
[21] González, A., Hayashibe, M., Bonnet, V., Fraisse, P. “Whole body center of mass estimation with portable sensors: using the statically equivalent serial chain and a Kinect”. Sensors (Basel). vol 14(9), 16955-71. 2014 https://doi.org/10.3390/s140916955
[22] Bonnechère, B., Sholukha, V., Jansen, B., Omelina, L., Rooze, M., Van Sint Jan, S. “Determination of repeatability of kinect sensor.” Telemed J E Health. vol 20(5), 451-3. 2014 https://doi.org/10.1089/tmj.2013.0247
[23] Sholukha, V., Bonnechère, B., Salvia, P., Moiseev, F., Rooze, M., Van Sint Jan, S. “Model-based approach for human kinematics reconstruction from markerless and marker-based motion analysis systems.” J Biomech. vol 46(14), 2363-71. 2013 https://doi.org/10.1016/j.jbiomech.2013.07.037
[24] Bonnechère, B., Jansen, B., Omelina, L., Da Silva L, Mouraux D, Rooze M, Van Sint Jan S. Patient follow-up using serious games : a feasability study on low back pain patients. in Games for Health, Edition : Springer, Editors : Schouten, B,, Fedtke, S,, Bekker, T,, Schijven, M,, Gekker, A,, pp.185-195 https://doi.org/10.1007/978-3-658-02897-8_14
[25] http://www.microsoft.com/en-us/kinectforwindows/develop/downloads-docs.aspx
[26] Bonnechère, B., Jansen, B., Salvia, P., Bouzahouene, H., Sholukha, V., Cornelis, J., Rooze, M., Van Sint Jan, S. “Determination of the precision and accuracy of morphological measurements using the Kinect™ sensor: comparison with standard stereophotogrammetry.” Ergonomics. vol 57(4), pp. 622-31. 2014 https://doi.org/10.1080/00140139.2014.884246
[27] Kagerer, F.A.. “Control of discrete bimanual movements: How each hand benefits from the other”. Neurosci Lett. vol 584, pp. 33-8. 2015 https://doi.org/10.1016/j.neulet.2014.10.002
[28] Lee, D., Lee, M., Lee, K., Song, C.. “Asymmetric training using virtual reality reflection equipment and the enhancement of upper limb function in stroke patients: a randomized controlled trial”. J Stroke Cerebrovasc Dis. vol 23(6), pp. 1319-26. 2014 https://doi.org/10.1016/j.jstrokecerebrovasdis.2013.11.006
[29] van Delden, A.L., Beek, P.J, Roerdink, M., Kwakkel, G., Peper, C.L. “Unilateral and Bilateral Upper-Limb Training Interventions After Stroke Have Similar Effects on Bimanual Coupling Strength”. Neurorehabil Neural Repair. [Epub ahead of print]. 2014
[30] Law, M.C., Darrah, J., Pollock, N., Wilson, B., Russell, D.J., Walter, S.D., Rosenbaum, P,, Galuppi, B. “Focus on function: a cluster, randomized controlled trial comparing child- versus context-focused intervention for young children with cerebral palsy”. Dev Med Child Neurol. vol 53(7), pp. 621-9. 2011 https://doi.org/10.1111/j.1469-8749.2011.03962.x
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2017-03-22
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Patients’ follow-up using biomechanical analysis of rehabilitation exercises. (2017). International Journal of Serious Games, 4(1). https://doi.org/10.17083/ijsg.v4i1.121
