Physiological complexity of gait is decreased in individuals with chronic stroke

References

• Ahmed MU, Mandic DP. 2011. Multivariate multiscale entropy: a tool for complexity analysis of multichannel data. Phys Rev E Stat Nonlin Soft Matter Phys. 84(6 Pt 1):061918.
   PubMed Web of Science ®Google Scholar
• Ahmed MU, Mandic DP. 2012. Multivariate multiscale entropy analysis. IEEE Signal Process Lett. 19(2):91–94.
   Web of Science ®Google Scholar
• Bar-Haim S, Harries N, Hutzler Y, Belokopytov M, Dobrov I. 2013. Training to walk amid uncertainty with Re-Step: measurements and changes with perturbation training for hemiparesis and cerebral palsy. Disabil Rehabilit Assist Technol. 8(5):417–425.
   PubMedGoogle Scholar
• Chen G, Patten C, Kothari DH, Zajac FE. 2005. Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. Gait Posture. 22(1):51–56.
   PubMed Web of Science ®Google Scholar
• Chow JW, Stokic DS. 2014. Variability, frequency composition, and complexity of submaximal isometric knee extension force from subacute to chronic stroke. Neuroscience. 273:189–198.
   PubMed Web of Science ®Google Scholar
• Clermont CA, Barden JM. 2016. Accelerometer-based determination of gait variability in older adults with knee osteoarthritis. Gait Posture. 50:126–130.
   PubMed Web of Science ®Google Scholar
• Combs SA, Dugan EL, Ozimek EN, Curtis AB. 2012. Effects of body-weight supported treadmill training on kinetic symmetry in persons with chronic stroke. Clin Biomech (Bristol, Avon). 27(9):887–892.
   PubMed Web of Science ®Google Scholar
• Costa M, Goldberger AL, Peng CK. 2002. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett. 89(6):068102.
   PubMed Web of Science ®Google Scholar
• Costa M, Goldberger AL, Peng CK. 2005. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys. 71(2 Pt 1):021906.
   PubMed Web of Science ®Google Scholar
• Costa M, Peng C-K, Goldberger AL, Hausdorff JM. 2003. Multiscale entropy analysis of human gait dynamics. Phys A: Stat Mech Appl. 330(1–2):53–60.
   Google Scholar
• Gladstone DJ, Danells CJ, Black SE. 2002. The Fugl-Meyer Assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabil Neural Repair. 16(3):232–240.
   PubMed Web of Science ®Google Scholar
• Goldberger AL, Peng CK, Lipsitz LA. 2002. What is physiologic complexity and how does it change with aging and disease? Neurobiol Aging. 23(1):23–26.
   PubMed Web of Science ®Google Scholar
• Gray CS, French JM, Bates D, Cartlidge NEF, James OFW, Venables G. 1990. Motor recovery following acute stroke. Age Ageing. 19(3):179–184.
   PubMed Web of Science ®Google Scholar
• Jorgensen HS, Nakayama H, Raaschou HO, Olsen TS. 1995. Recovery of walking function in stroke patients: The Copenhagen stroke study. Arch Phys Med Rehabil. 76(1):27–32.
   PubMed Web of Science ®Google Scholar
• Kajrolkar T, Yang F, Pai YC, Bhatt T. 2014. Dynamic stability and compensatory stepping responses during anterior gait-slip perturbations in people with chronic hemiparetic stroke. J Biomech. 47(11):2751–2758.
   PubMed Web of Science ®Google Scholar
• Levin MF, Kleim JA, Wolf SL. 2009. What do motor "recovery" and "compensation" mean in patients following stroke? Neurorehabil Neural Repair. 23(4):313–319.
   PubMed Web of Science ®Google Scholar
• Lipsitz LA, Goldberger AL. 1992. Loss of 'Complexity' and Aging. Potential applications of fractals and chaos theory to senescence. JAMA. 267(13):1806.
   PubMed Web of Science ®Google Scholar
• Lipsitz LA. 2002. Dynamics of stability: The physiologic basis of functional health and frailty. J Gerontol A Biol Sci Med Sci. 57(3):B115–B125.
   PubMed Web of Science ®Google Scholar
• Melzer I, Goldring M, Melzer Y, Green E, Tzedek I. 2010. Voluntary stepping behavior under single- and dual-task conditions in chronic stroke survivors: a comparison between the involved and uninvolved legs. J Electromyogr Kinesiol. 20(6):1082–1087.
   PubMed Web of Science ®Google Scholar
• Mulroy SJ, Klassen T, Gronley JK, Eberly VJ, Brown DA, Sullivan KJ. 2010. Gait parameters associated with responsiveness to treadmill training with body-weight support after stroke: an exploratory study. Phys Ther. 90(2):209–223.
   PubMed Web of Science ®Google Scholar
• Nott CR, Neptune RR, Kautz SA. 2014. Relationships between frontal-plane angular momentum and clinical balance measures during post-stroke hemiparetic walking. Gait Posture. 39(1):129–134.
   PubMed Web of Science ®Google Scholar
• Perlmutter S, Lin F, Makhsous M. 2010. Quantitative analysis of static sitting posture in chronic stroke. Gait Posture. 32(1):53–56.
   PubMed Web of Science ®Google Scholar
• Robinson CA, Matsuda PN, Ciol MA, Shumway-Cook A. 2013. Participation in community walking following stroke: the influence of self-perceived environmental barriers. Phys Ther. 93(5):620–627.
   PubMed Web of Science ®Google Scholar
• Robinson CA, Shumway-Cook A, Matsuda PN, Ciol MA. 2011. Understanding physical factors associated with participation in community ambulation following stroke. Disabil Rehabil. 33(12):1033–1042.
   PubMed Web of Science ®Google Scholar
• Roerdink M, Geurts ACH, de Haart M, Beek PJ. 2009. On the relative contribution of the paretic leg to the control of posture after stroke. Neurorehabil Neural Repair. 23(3):267–274.
   PubMed Web of Science ®Google Scholar
• Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, Camethon MR, Dai S, de Simone G, Ford ES. 2011. Heart disease and stroke statistics-2011 Update a report from the american heart association. Circulation. 123(4):E18–E209.
   PubMed Web of Science ®Google Scholar
• Rouillard S, De Weerdt W, De Wit L, Jelsma J. 2012. Functioning at 6 months post stroke following discharge from inpatient rehabilitation. S Afr Med J. 102(6):545–548.
   PubMed Web of Science ®Google Scholar
• Salot P, Patel P, Bhatt T. 2016. Reactive balance in individuals with chronic stroke: biomechanical factors related to perturbation-induced backward falling. Phys Ther. 96(3):338–347.
   PubMed Web of Science ®Google Scholar
• Sethi A, Davis S, McGuirk T, Patterson TS, Richards LG. 2013. Effect of intense functional task training upon temporal structure of variability of upper extremity post stroke. J Hand Ther. 26(2):132–137.
   PubMed Web of Science ®Google Scholar
• Sethi A, Patterson T, McGuirk T, Patten C, Richards LG, Stergiou N. 2013. Temporal structure of variability decreases in upper extremity movements post stroke. Clin Biomech (Bristol, Avon). 28(2):134–139.
   PubMed Web of Science ®Google Scholar
• Sun R, Song R, Tong K-y. 2014. Complexity analysis of EMG signals for patients after stroke during robot-aided rehabilitation training using fuzzy approximate entropy. IEEE Trans Neural Syst Rehabil Eng. 22(5):1013–1019.
   PubMed Web of Science ®Google Scholar
• Tabachnick BG, Fidell LS. 2007. Using Multivariate Statistics. Boston, MA: Allyn & Bacon/Pearson Education.
   Google Scholar
• Tochigi Y, Segal NA, Vaseenon T, Brown TD. 2012. Entropy analysis of tri-axial leg acceleration signal waveforms for measurement of decrease of physiological variability in human gait. J Orthop Res. 30(6):897–904.
   PubMed Web of Science ®Google Scholar
• Wu HG, Miyamoto YR, Castro LNG, Olveczky BP, Smith MA. 2014. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability. Nat Neurosci. 17(2):312–321.
   PubMed Web of Science ®Google Scholar