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eHealth 360° pp 327–339Cite as

Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology

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Abstract

Classifying stroke survivors based on their walking abilities is an important part of the gait rehabilitation process. It can act as powerful indicator of function and prognosis in both the early days after a stroke and long after a survivor receives rehabilitation. This classification often relies solely on walking speed; a quick and easy measure, with only a stopwatch needed. However, walking speed may not be the most accurate way of judging individual’s walking ability. Advances in technology mean we are now in a position where ubiquitous and wearable technologies can be used to elicit much richer measures to characterise gait. In this paper we present a case study from one of our studies, where within a homogenous group of stroke survivors (based on walking speed classification) important differences in individual results and the way they responded to rhythmic haptic cueing were identified during the piloting of a novel gait rehabilitation technique.

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References

  1. Stroke Association. https://www.stroke.org.uk/sites/default/files/stroke_statistics_2015.pdf

  2. Adamson, J., Beswick, A., Ebrahim, S.: Is stroke the most common cause of disability? J. Stroke Cerebrovasc. Dis. 13(4), 171–177 (2004)

    Article  Google Scholar 

  3. Thaut, M.H., Leins, A.K., Rice, R.R., Argstatter, H., Kenyon, G.P., McIntosh, G.C., et al.: Rhythmic auditory stimulation improves gait more than NDT/Bobath training in near-ambulatory patients early poststroke: a single-blind, randomized trial. Neurorehabil. Neural Repair 21(5), 455–459 (2007)

    Article  Google Scholar 

  4. Thaut, M.H., Kenyon, G.P., Schauer, M.L., McIntosh, G.C.: The connection between rhythmicity and brain function - Implications for therapy of movement disorders. IEEE Eng. Med. Biol. 18(2), 101–108 (1999)

    Article  Google Scholar 

  5. Roerdink, M., Bank, P.J., Peper, C., Beek, P.J.: Walking to the beat of different drums: practical implications for the use of acoustic rhythms in gait rehabilitation. Gait Posture 33(4), 690–694 (2011)

    Article  Google Scholar 

  6. Holland, S., Wright, R.L., Wing, A., Crevoisier, T., Hödl, O., Canelli, M.: A pilot study using tactile cueing for gait rehabilitation following stroke. In: Fardoun, H.M., Penichet, V.M.R., Alghazzawi, D.M. (eds.) REHAB 2014. CCIS, vol. 515, pp. 222–233. Springer, Heidelberg (2015). doi:10.1007/978-3-662-48645-0_19

    Chapter  Google Scholar 

  7. Georgiou, T., Holland, S., van der Linden, J.: Rhythmic haptic cueing for entrainment: assisting post-stroke gait rehabilitation. In: 8th Cambridge workshop on Universal Access and Assistive Technology, Cambridge (2016)

    Google Scholar 

  8. Georgiou, T., Holland, S., van der Linden, J., Tetley, J., Stockley, R.C., Donaldson, G., et al.: A blended user centred design study for wearable haptic gait rehabilitation following hemiparetic stroke. In: Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, Istanbul (2015)

    Google Scholar 

  9. Olney, S.J.: Hemiparetic gait following stroke. Part I: characteristics. Gait Posture 4(2), 136–148 (1996)

    Article  Google Scholar 

  10. Balasubramanian, C.K., Neptune, R.R., Kautz, S.A.: Variability in spatiotemporal step characteristics and its relationship to walking performance post-stroke. Gait Posture 29(3), 408–414 (2009)

    Article  Google Scholar 

  11. Chen, G., Patten, C., Kothari, D.H., Zajac, F.E.: Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. Gait Posture 22(1), 51–56 (2005)

    Article  Google Scholar 

  12. Kim, C.M., Eng, J.J.: The relationship of lower-extremity muscle torque to locomotor performance in people with stroke. Phys. Ther. 83(1), 49–57 (2003)

    Google Scholar 

  13. Norvell, D.C., Czerniecki, J.M., Reiber, G.E., Maynard, C., Pecoraro, J.A., Weiss, N.S.: The prevalence of knee pain and symptomatic knee osteoarthritis among veteran traumatic amputees and nonamputees. Archiv. Phys. Med. Rehabil. 86(3), 487–493 (2005)

    Article  Google Scholar 

  14. Nolan, L., Wit, A., Dudziñski, K., Lees, A., Lake, M., Wychowañski, M.: Adjustments in gait symmetry with walking speed in trans-femoral and trans-tibial amputees. Gait Posture 17(2), 142–151 (2003)

    Article  Google Scholar 

  15. Pouwels, S., Lalmohamed, A., Souverein, P., Cooper, C., Veldt, B., Leufkens, H., et al.: Use of proton pump inhibitors and risk of hip/femur fracture: population-based case-control study. Osteoporos. Int. 22(3), 903–910 (2011)

    Article  Google Scholar 

  16. Richards, C.L., Malouin, F., Wood-Dauphinee, S., Williams, J.I., Bouchard, J.P., Brunet, D.: Task-specific physical therapy for optimization of gait recovery in acute stroke patients. Archiv. Phys. Med. Rehabil. 74(6), 612–620 (1993)

    Article  Google Scholar 

  17. Alexander, L.D., Black, S.E., Patterson, K.K., Gao, F., Danells, C.J., McIlroy, W.E.: Association between gait asymmetry and brain lesion location in stroke patients. Stroke 40, 537–544 (2009)

    Article  Google Scholar 

  18. Lindquist, A.R., Prado, C.L., Barros, R.M., Mattioli, R., da Costa, P.H., Salvini, T.F.: Gait training combining partial body-weight support, a treadmill, and functional electrical stimulation: effects on poststroke gait. Phys. Ther. 87(9), 1144–1155 (2007)

    Article  Google Scholar 

  19. Olney, S.J., Richards, C.: Hemiparetic gait following stroke. Part I: characteristics. Gait Posture 4(2), 136–148 (1996)

    Article  Google Scholar 

  20. Benoit, C.E., Dalla, B.S., Farrugia, N., Obrig, H., Mainka, S., Kotz, S.A.: Musically cued gait-training improves both perceptual and motor timing in Parkinson’s disease. Front. Hum. Neurosci. 8, 494 (2014)

    Article  Google Scholar 

  21. Roerdink, M., Lamoth, C.J., Kwakkel, G., Wieringen, P.C., Beek, P.J.: Gait coordination after stroke: benefits of acoustically paced treadmill walking. Phys. Ther. 87(8), 1009–1022 (2007)

    Article  Google Scholar 

  22. Prassas, S., Thaut, M., McIntosh, G., Rice, R.: Effect of auditory rhythmic cueing on gait kinematic parameters of stroke patients. Gait Posture 6(3), 218–223 (1997)

    Article  Google Scholar 

  23. Wright, R.L., Masood, A., MacCormac, E.S., Pratt, D., Sackley, C., Wing, A.: Metronome-cued stepping in place after hemiparetic stroke: comparison of a one - and two-tone beat. ISRN Rehabil. (2013)

    Google Scholar 

  24. Pelton, T.A., Johannsen, L., Chen, H.Y., Wing, A.M.: Hemiparetic stepping to the beat: asymmetric response to metronome phase shift during treadmill gait. Neurorehabil. Neural Repair 24(5), 428–434 (2010)

    Article  Google Scholar 

  25. Perry, J., Garrett, M., Gronley, J.K., Mulroy, S.J.: Classification of walking handicap in the stroke population. Stroke 26(6), 982–989 (1995)

    Article  Google Scholar 

  26. Olney, S.J., Griffin, M.P., McBride, I.D.: Temporal, kinematic, and kinetic variables related to gait speed in subjects with hemiplegia: a regression approach. Phys. Ther. 74(9), 872–885 (1994)

    Google Scholar 

  27. Taylor, D., Stretton, C.M., Mudge, S., Garrett, N.: Does clinic-measured gait speed differ from gait speed measured in the community in people with stroke? Clinic. Rehabil. 20(5), 438–444 (2006)

    Article  Google Scholar 

  28. Patterson, K.K., Parafianowicz, I., Danells, C.J., Closson, V., Verrier, M.C., Staines, W.R., et al.: Gait asymmetry in community-ambulating stroke survivors. Archiv. Phys. Med. Rehabil. 89(2), 304–310 (2008)

    Article  Google Scholar 

  29. Patterson, K.K., Nadkarni, N.K., Black, S.E., McIlroy, W.E.: Temporal gait symmetry and velocity differ in their relationship to age. Gait Posture 35(4), 590–594 (2012)

    Article  Google Scholar 

  30. Lord, S.E., Rochester, L.: Measurement of community ambulation after stroke. Stroke 36, 1457–1461 (2005)

    Article  Google Scholar 

  31. Patterson, K.K., Gage, W.H., Brooks, D., Black, S.E., McIlroy, W.E.: Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization. Gait Posture 31(2), 241–246 (2010)

    Article  Google Scholar 

  32. Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B.B., Druin, A., Plaisant, C., et al.: Technology probes: inspiring design for and with families. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, pp. 17–24 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Centre for Research in Computing, The Open University, Milton Keynes, MK7 6AA, UK

    Theodoros Georgiou, Simon Holland & Janet van der Linden

  2. Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, M15 6GX, UK

    Glenis Donaldson

Authors
  1. Theodoros Georgiou
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  2. Simon Holland
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  3. Janet van der Linden
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  4. Glenis Donaldson
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Corresponding author

Correspondence to Theodoros Georgiou .

Editor information

Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Georgiou, T., Holland, S., van der Linden, J., Donaldson, G. (2017). Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_40

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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