Improvements (or not!) in the hand trajectory of stroke patients due to practice of a virtual game
Authors: 
Pedro Passos, Ana Diniz, Aline Braga Galvão Silveira Fernandes, Jacilda Oliveira dos Passos, Lorenna Raquel Dantas de Macedo Borges, Tania Fernandes CamposAuthors Info & Claims
Abstract
Movement trajectories contain important spatio-temporal information to characterise human activities that require displacements (eg grasp an object). A trajectory (dis)similarity measure is highly relevant in trajectory data analysis. The main purpose of this study was to develop a running version of the Procrustes Method to quantify dissimilarity between trajectories along time, as a method that can be used in further research. Empirical data was used to quantify changes in stroke patients’ movements in a daily life task (drinking water) after participating in a combined rehabilitation program (virtual reality plus conventional therapy). Results of the simulation study reflected the reliability of the Running Procrustes Method to quantify the dissimilarity between trajectories continuously over time. For the empirical data, this method identified critical parts of the drinking water task, providing information that might suggest beneficial effects of the combined program in stroke patients’ daily life tasks.
References
[1]
Bernstein N. A. (1967). The co-ordination and regulation of movements. Pergamon Press.
[2]
Biering-Sørensen F., Nielsen J. B., and Klinge K. (2006). Spasticity-assessment: A review. Spinal Cord, 44(12), 708–722. https://doi.org/10.1038/sj.sc.3101928
[3]
Buchin K., Buchin M., Van Kreveld M., and Luo J. (2011). Finding long and similar parts of trajectories. Computational Geometry, 44(9), 465–476. https://doi.org/10.1016/j.comgeo.2011.05.004
[4]
Cameirão M. S., Badia S. B., Duarte E., and Verschure P. F. M. J. (2011). Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: A randomized controlled pilot study in the acute phase of stroke using the rehabilitation gaming system. Restorative Neurology and Neuroscience, 29(5), 287–298. https://doi.org/10.3233/RNN-2011-0599
[5]
Cameirão M. S., Badia S. B., Oller E. D., and Verschure P. F. M. J. (2010). Neurorehabilitation using the virtual reality based rehabilitation gaming system: Methodology, design, psychometrics, usability and validation. Journal of Neuroengineering and Rehabilitation, 7(48), 48–54. https://doi.org/10.1186/1743-0003-7-48
[6]
Decker L., Berge C., Renous S., and Penin X. (2007). An alternative approach to normalization and evaluation for gait patterns: Procrustes analysis applied to the cyclograms of sprinters and middle-distance runners. Journal of Biomechanics, 40(9), 2078–2087. https://doi.org/10.1016/j.jbiomech.2006.10.005
[7]
Dodge S., Laube P., and Weibel R. (2012). Movement similarity assessment using symbolic representation of trajectories. International Journal of Geographical Information Science, 26(9), 1563–1588. https://doi.org/10.1080/13658816.2011.630003
[8]
Dodge S., Weibel R., and Forootan E. (2009). Revealing the physics of movement: Comparing the similarity of movement characteristics of different types of moving objects. Computers Environment and Urban Systems, 33(6), 419–434. https://doi.org/10.1016/j.compenvurbsys.2009.07.008
[9]
Dryden I. L. and Mardia K. V. (1998). Statistical shape analysis. John Wiley & Sons.
[10]
Fugl-Meyer A. R., Jaasko L., Leyman I., Olsson S., and Steglind S. (1975). The post-stroke hemiplegic patient 1. a method for evaluation of physical performance. Scandinavian Journal of Rehabilitation Medicine, 7(1), 13–31. https://doi.org/10.3390/s17030524
[11]
Gower J. C. and Dijskterhuis G. B. (2004). Procrustes problems. Oxford University Press.
[12]
Haggard P. and Richardson J. (1996). Spatial patterns in the control of human arm movement. Journal of Experimental Psychology. Human Perception and Performance, 22(1), 42–62. https://doi.org/10.1037//0096-1523.22.1.42
[13]
Kamper D. G., McKenna-Cole A. N., Kahn L. E., and Reinkensmeyer D. J. (2002). Alterations in reaching after stroke and their relation to movement direction and impairment severity. Archives of Physical Medicine and Rehabilitation, 83(5), 702–707. https://doi.org/10.1053/apmr.2002.32446
[14]
Kasner S. E. (2006). Clinical interpretation and use of stroke scales. The Lancet. Neurology, 5(7), 603–612. https://doi.org/10.1016/S1474-4422(06)70495-1
[15]
Kimura Y., Yamada M., Hamanaka K., Tanaka N., and Muroh Y. (2017). Usefulness of the prediction method based on a logarithmic model for functional recovery in stroke patients: In case of using the motor-functional independence measure score. International journal of rehabilitation research. Internationale Zeitschrift Fur Rehabilitationsforschung. Revue internationale de recherches de readaptation, 40(2), 134–137. https://doi.org/10.1097/MRR.0000000000000219
[16]
Kusoffsky A., Apel I., and Hirschfeld H. (2001). Reaching-lifting-placing task during standing after stroke: Coordination among ground forces, ankle muscle activity, and hand movement. Archives of Physical Medicine and Rehabilitation, 82(5), 650–660. https://doi.org/10.1053/apmr.2001.22611
[17]
Laver K. E., Lange B., George S., Deutsch J. E., Saposnik G., and Crotty M. (2017). Virtual reality for stroke rehabilitation. The Cochrane Database of Systematic Reviews, 11(11), CD008349. https://doi.org/10.1002/14651858.CD008349.pub4
[18]
Lemoine L., Torre K., and Delignieres D. (2006). Testing for the presence of 1/f noise in continuation tapping data. Canadian Journal of Experimental Psychology-Revue Canadienne De Psychologie Experimentale, 60(4), 247–257. https://doi.org/10.1037/cjep2006023
[19]
Levin M. F. (1996). Interjoint coordination during pointing movements is disrupted in spastic hemiparesis. Brain: A Journal of Neurology, 119(Pt 1), 281–293. https://doi.org/10.1093/brain/119.1.281
[20]
Lyden P. (2017). Using the national institutes of Health stroke scale: A cautionary tale. Stroke, 48(2), 513–519. https://doi.org/10.1161/STROKEAHA.116.015434
[21]
Mao Y. C., Zhong H. S., Xiao X. J., and Li X. F. (2017). A segment-based trajectory similarity measure in the urban transportation systems. Sensors, 17(3), 524. https://doi.org/10.3390/s17030524
[22]
Marmelat V., Duncan A., Meltz S., Meidinger R. L., and Hellman A. M. (2020). Fractal auditory stimulation has greater benefit for people with Parkinson's disease showing more random gait pattern. Gait & Posture, 80, 234–239. https://doi.org/10.1016/j.gaitpost.2020.05.021
[23]
Miller E. L., Murray L., Richards L., Zorowitz R. D., Bakas T., Clark P., Billinger S. A., and American Heart Association Council on Cardiovascular Nursing and the Stroke Council (2010). Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: A scientific statement from the American heart association. Stroke, 41(10), 2402–2448. https://doi.org/10.1161/STR.0b013e3181e7512b
[24]
Neguț A., Matu S. A., Sava F. A., and David D. (2016). Virtual reality measures in neuropsychological assessment: A meta-analytic review. The Clinical Neuropsychologist, 30(2), 165–184. https://doi.org/10.1080/13854046.2016.1144793
[25]
Passos P., Campos T., and Diniz A. (2017). Quantifying the degree of movement dissimilarity between two distinct action scenarios: An exploratory approach with procrustes analysis. Frontiers in Psychology, 8, 640. https://doi.org/10.3389/fpsyg.2017.00640
[26]
Rizzo A., Thomas Koenig S., and Talbot T. B. (2019). Clinical results using virtual reality. Journal of Technology in Human Services, 37(1), 51–74. https://doi.org/10.1080/15228835.2019.1604292
[27]
Roth G. A., Johnson C. O., Nguyen G., Naghavi M., Feigin V. L., Murray C. J. L., Forouzanfar M. H., and Vos T. (2015). Methods for estimating the global burden of cerebrovascular diseases. Neuroepidemiology, 45(3), 146–151. https://doi.org/10.1159/000441083
[28]
Wallet G., Sauzéon H., Rodrigues J., Larrue F., and N’kaoua B. (2010). Virtual/real transfer of spatial learning: Impact of activity according to the retention delay. Studies in Health Technology and Informatics, 154(1), 145–149. https://doi.org/10.3233/978-1-60750-561-7-145
Recommendations
Move-IT: A Virtual Reality Game for Upper Limb Stroke Rehabilitation Patients
Computers Helping People with Special NeedsAbstractStroke rehabilitation plays an important role in recovering the lifestyle of stroke survivors. Although existing research proved the effectiveness and engagement of Non-immersive Virtual Reality (VR) based rehabilitation systems, however, limited ...
Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients
REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research TechniquesToday, the development of virtual reality (VR) applications for upper limb motor rehabilitation is still a difficult and time-consuming task. It requires developers to be skilled in motor rehabilitation, interaction devices, and stroke survivor ...
Immersive virtual reality for upper limb rehabilitation: comparing hand and controller interaction
AbstractVirtual reality shows great potential as an alternative to traditional therapies for motor rehabilitation given its ability to immerse the user in engaging scenarios that abstract them from medical facilities and tedious rehabilitation exercises. ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
© The Author(s) 2023.
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Publisher
Sage Publications, Inc.
United States
Publication History
Published: 01 August 2023
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 19 Dec 2024