Approaching Process in Walking through an Aperture for Individuals with Stroke

REFERENCES

• Becker, K. A., & Hung, C. J. (2020). Attentional focus influences sample entropy in a balancing task. Human Movement Science, 72, 102631. https://doi.org/10.1016/j.humov.2020.102631
   PubMed Web of Science ®Google Scholar
• Cinelli, M. E., Patla, A. E., & Allard, F. (2008). Strategies used to walk through a moving aperture. Gait & Posture, 27(4), 595–602. https://doi.org/10.1016/j.gaitpost.2007.08.002
   PubMed Web of Science ®Google Scholar
• Cowie, D., Limousin, P., Peters, A., & Day, B. L. (2010). Insights into the neural control of locomotion from walking through doorways in Parkinson’s disease. Neuropsychologia, 48(9), 2750–2757. https://doi.org/10.1016/j.neuropsychologia.2010.05.022
   PubMed Web of Science ®Google Scholar
• Davids, K., Araujo, D., Seifert, L., & Orth, D. (2015). Expert performance in sport: An ecological dynamics perspective. In J. Baker & D. Farrow (Eds.), Routledge handbook of sport expertise (pp 273–303). Routledge/Taylor & Francis Group.
   Google Scholar
• Donker, S. F., Roerdink, M., Greven, A. J., & Beek, P. J. (2007). Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control. Experimental Brain Research, 181(1), 1–11. https://doi.org/10.1007/s00221-007-0905-4
   PubMed Web of Science ®Google Scholar
• Fajen, B. R. (2005). Calibration, information, and control strategies for braking to avoid a collision. Journal of Experimental Psychology. Human Perception and Performance, 31(3), 480–501. https://doi.org/10.1037/0096-1523.31.3.480
   PubMed Web of Science ®Google Scholar
• Haid, T., & Federolf, P. (2018). Human postural control: Assessment of two alternative interpretations of center of pressure sample entropy through a principal component factorization of whole-body kinematics. Entropy (Basel, Switzerland), 20(1), 30. https://doi.org/10.3390/e20010030
   PubMed Web of Science ®Google Scholar
• Hamill, J., Palmer, C., & Van Emmerik, R. E. (2012). Coordinative variability and overuse injury. Sports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology, 4(1), 1–9. https://doi.org/10.1186/1758-2555-4-45
   PubMedGoogle Scholar
• Higuchi, T., Cinelli, M. E., Greig, M. A., & Patla, A. E. (2006). Locomotion through apertures when wider space for locomotion is necessary: Adaptation to artificially altered bodily states. Experimental Brain Research, 175(1), 50–59. https://doi.org/10.1007/s00221-006-0525-4
   PubMed Web of Science ®Google Scholar
• Higuchi, T., Cinelli, M. E., & Patla, A. E. (2009). Gaze behavior during locomotion through apertures: The effect of locomotion forms. Human Movement Science, 28(6), 760–771. https://doi.org/10.1016/j.humov.2009.07.012
   PubMed Web of Science ®Google Scholar
• Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2):65–70.
   Web of Science ®Google Scholar
• Inness, E. L., Mansfield, A., Lakhani, B., Bayley, M., & McIlroy, W. E. (2014). Impaired reactive stepping among patients ready for discharge from inpatient stroke rehabilitation. Physical Therapy, 94(12), 1755–1764. https://doi.org/10.2522/ptj.20130603
   PubMed Web of Science ®Google Scholar
• Kuznetsov, N. A., Bonnette, S., & Riley, M. A. (2013). Nonlinear time series methods for analyzing behavioral sequences. Complex Syst, Sport, 85–104. https://doi.org/10.4324/9780203134610
   Google Scholar
• Lipsitz, L. A., & Goldberger, A. L. (1992). Loss of 'complexity’ and aging: Potential applications of fractals and chaos theory to senescence. JAMA, 267(13), 1806–1809.
   PubMed Web of Science ®Google Scholar
• Lucaites, K. M., Venkatakrishnan, R., Bhargava, A., Venkatakrishnan, R., & Pagano, C. C. (2020). Predicting aperture crossing behavior from within-trial metrics of motor control reliability. Human Movement Science, 74, 102713. https://doi.org/10.1016/j.humov.2020.102713
   PubMed Web of Science ®Google Scholar
• Mansfield, A., Inness, E. L., Lakhani, B., & McIlroy, W. E. (2012). Determinants of limb preference for initiating compensatory stepping poststroke. Archives of Physical Medicine and Rehabilitation, 93(7), 1179–1184. https://doi.org/10.1016/j.apmr.2012.02.006
   PubMed Web of Science ®Google Scholar
• Martinez, K. M., Mille, M. L., Zhang, Y., & Rogers, M. W. (2013). Stepping in persons poststroke: Comparison of voluntary and perturbation-induced responses. Archives of Physical Medicine and Rehabilitation, 94(12), 2425–2432. https://doi.org/10.1016/j.apmr.2013.06.030
   PubMed Web of Science ®Google Scholar
• Muroi, D., Hiroi, Y., Koshiba, T., Suzuki, Y., Kawaki, M., & Higuchi, T. (2017). Walking through apertures in individuals with stroke. Plos One, 12(1), e0170119. https://doi.org/10.1371/journal.pone.0170119
   PubMed Web of Science ®Google Scholar
• Muroi, D., & Higuchi, T. (2017). Walking through an aperture with visual information obtained at a distance. Experimental Brain Research, 235(1), 219–230. https://doi.org/10.1007/s00221-016-4781-7
   PubMed Web of Science ®Google Scholar
• Muroi, D., Saito, Y., Koyake, A., Higo, F., Numaguchi, T., & Higuchi, T. (2022). Walking through an aperture while penetrating from the paretic side improves safety managing the paretic side for individuals with stroke who had previous falls. Human Movement Science, 81, 102906. https://doi.org/10.1016/j.humov.2021.102906
   PubMed Web of Science ®Google Scholar
• Newell, K. M., Vaillancourt, D. E., & Sosnoff, J. J. (2006). Aging, complexity, and motor performance. In Handbook of the psychology of aging. (pp. 163–182) Academic Press.
   Google Scholar
• Oudejans, R. R., Michaels, C. F., Bakker, F. C., & Dolne, M. A. (1996). The relevance of action in perceiving affordances: Perception of catchableness of fly balls. Journal of Experimental Psychology. Human Perception and Performance, 22(4), 879–891. https://doi.org/10.1037//0096-1523.22.4.879
   PubMed Web of Science ®Google Scholar
• Ramdani, S., Seigle, B., Lagarde, J., Bouchara, F., & Bernard, P. L. (2009). On the use of sample entropy to analyze human postural sway data. Medical Engineering & Physics, 31(8), 1023–1031. https://doi.org/10.1016/j.medengphy.2009.06.004
   PubMed Web of Science ®Google Scholar
• Rhea, C. K., Diekfuss, J. A., Fairbrother, J. T., & Raisbeck, L. D. (2019). Postural control entropy is increased when adopting an external focus of attention. Mot Control, 23(2), 230–242. https://doi.org/10.1123/mc.2017-0089
   PubMed Web of Science ®Google Scholar
• Rhea, C. K., Wutzke, C. J., & Lewek, M. D. (2012). Gait dynamics following variable and constant speed gait training in individuals with chronic stroke. Gait & Posture, 36(2), 332–334. https://doi.org/10.1016/j.gaitpost.2012.03.014
   PubMed Web of Science ®Google Scholar
• Richer, N., & Lajoie, Y. (2020). Automaticity of postural control while dual-tasking revealed in young and older adults. Experimental Aging Research, 46(1), 1–21. https://doi.org/10.1080/0361073X.2019.1693044
   PubMed Web of Science ®Google Scholar
• Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology. Heart and Circulatory Physiology, 278(6), H2039–H2049. https://doi.org/10.1152/ajpheart.2000.278.6.H2039
   PubMed Web of Science ®Google Scholar
• Roerdink, M., De Haart, M., Daffertshofer, A. A., Donker, S. F., Geurts, A. C. H., & Beek, P. J. (2006). Dynamical structure of center-of-pressure trajectories in patients recovering from stroke. Experimental Brain Research, 174(2), 256–269. https://doi.org/10.1007/s00221-006-0441-7
   PubMed Web of Science ®Google Scholar
• Roerdink, M., Hlavackova, P., & Vuillerme, N. (2011). Center-of-pressure regularity as a marker for attentional investment in postural control: A comparison between sitting and standing postures. Human Movement Science, 30(2), 203–212. https://doi.org/10.1016/j.humov.2010.04.005
   PubMed Web of Science ®Google Scholar
• Said, C. M., Goldie, P. A., Patla, A. E., Sparrow, W. A., & Martin, K. E. (1999). Obstacle crossing in subjects with stroke. Archives of Physical Medicine and Rehabilitation, 80(9), 1054–1059. https://doi.org/10.1016/s0003-9993(99)90060-6
   PubMed Web of Science ®Google Scholar
• Stergiou, N., Harbourne, R. T., & Cavanaugh, J. T. (2006). Optimal movement variability: A new theoretical perspective for neurologic physical therapy. Journal of Neurologic Physical Therapy: JNPT, 30(3), 120–129. https://doi.org/10.1097/01.npt.0000281949.48193.d9
   PubMedGoogle Scholar
• Stergiou, N., & Decker, L. M. (2011). Human movement variability, nonlinear dynamics, and pathology: Is there a connection? Human Movement Science, 30(5), 869–888. https://doi.org/10.1016/j.humov.2011.06.002
   PubMed Web of Science ®Google Scholar
• Stergiou, N. (2016). Nonlinear analysis for human movement variability. CRC Press.
   Google Scholar
• Sleimen-Malkoun, R., Temprado, J., & Hong, S. L. (2014). Aging induced loss of complexity and dedifferentiation : consequences for coordination dynamics within and between brain, muscular and behavioral levels. Frontiers in Aging Neuroscience, 6, 140. https://doi.org/10.3389/fnagi.2014.00140
   PubMed Web of Science ®Google Scholar
• Vaillancourt, D. E., & Newell, K. M. (2002). Changing complexity in human behavior and physiology through aging and disease. Neurobiology of Aging, 23(1), 1–11. https://doi.org/10.1016/s0197-4580(01)00247-0
   PubMed Web of Science ®Google Scholar
• Vieira, M. F., Rodrigues, F. B., de Sá E Souza, G. S., Magnani, R. M., Lehnen, G. C., Campos, N. G., Andrade, A. O., Campos, N. G., & Andrade, A. O. (2017). Gait stability, variability and complexity on inclined surfaces. Journal of Biomechanics, 54, 73–79. https://doi.org/10.1016/j.jbiomech.2017.01.045
   PubMed Web of Science ®Google Scholar
• Warren, W. H. (2006). The dynamics of perception and action. Psychological Review, 113(2), 358–389. https://doi.org/10.1037/0033-295X.113.2.358
   PubMed Web of Science ®Google Scholar
• Wilmut, K., & Barnett, A. L. (2010). Locomotor adjustments when navigating through apertures. Human Movement Science, 29(2), 289–298. https://doi.org/10.1016/j.humov.2010.01.001
   PubMed Web of Science ®Google Scholar
• Wilmut, K., & Barnett, A. L. (2011). Locomotor behaviour of children while navigating through apertures. Experimental Brain Research, 210(2), 185–194. https://doi.org/10.1007/s00221-011-2614-2
   PubMed Web of Science ®Google Scholar
• Yentes, J. M. (2016). Entropy. In Stergiou N (Ed.), Nonlinear analysis for human movement variability (pp 173–260). CRC Press.
   Google Scholar
• Yentes, J. M., Hunt, N., Schmid, K. K., Kaipust, J. P., McGrath, D., & Stergiou, N. (2013). The appropriate use of approximate entropy and sample entropy with short data sets. Annals of Biomedical Engineering, 41(2), 349–365. https://doi.org/10.1007/s10439-012-0668-3
   PubMed Web of Science ®Google Scholar