ARTICLE IN PRESS Journal of Biomechanics 42 (2009) 2231–2237 Contents lists available at ScienceDirect

To facilitate stable walking, humans must generate appropriate motor patterns and effective corrective responses to perturbations. Yet most EMG analyses do not address the continuous nature of muscle activation dynamics over multiple strides. We compared muscle activation dynamics in young and older adults by defining a multivariate state space for muscle activity. Eighteen healthy older and 17 younger adults walked on a treadmill for 2 trials of 5 min each at each of 5 controlled speeds (80-120% of preferred). EMG linear envelopes of v. lateralis, b. femoris, gastrocnemius, and t. anterior of the left leg were obtained. Interstride variability, local dynamic stability (divergence exponents), and orbital stability (maximum Floquet multipliers; FM) were calculated. Both age groups exhibited similar preferred walking speeds (p=0.86). Amplitudes and variability of individual EMG linear envelopes increased with speed (p<0.01) in all muscles but gastrocnemius. Older adults also exhibited greater variability in b. femoris and t. anterior (p<0.004). When comparing continuous multivariate EMG dynamics, older adults demonstrated greater local and orbital instability of their EMG patterns (p<0.01). We also compared how muscle activation dynamics were manifested in kinematics. Local divergence exponents were strongly correlated between kinematics and EMG, independent of age and walking speed, while variability and max FM were not. These changes in EMG dynamics may be related to increased neuromotor noise associated with aging and may indicate subtle deterioration of gait function that could lead to future functional declines.

[1]  A. Nayfeh,et al.  Applied nonlinear dynamics : analytical, computational, and experimental methods , 1995 .

[2]  Jeffrey M. Hausdorff,et al.  When human walking becomes random walking: fractal analysis and modeling of gait rhythm fluctuations. , 2001, Physica A.

[3]  A. Hof Scaling gait data to body size , 1996 .

[4]  M. Abel,et al.  Biomechanical changes in gait following selective dorsal rhizotomy. , 2005, Journal of neurosurgery.

[5]  D. Winter,et al.  EMG profiles during normal human walking: stride-to-stride and inter-subject variability. , 1987, Electroencephalography and clinical neurophysiology.

[6]  M. Rosenstein,et al.  A practical method for calculating largest Lyapunov exponents from small data sets , 1993 .

[7]  M. L. Shik,et al.  Neurophysiology of locomotor automatism. , 1976, Physiological reviews.

[8]  Jesse C. Dean,et al.  The Effect of Lateral Stabilization on Walking in Young and Old Adults , 2007, IEEE Transactions on Biomedical Engineering.

[9]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[10]  W. Berg,et al.  Circumstances and consequences of falls in independent community-dwelling older adults. , 1997, Age and ageing.

[11]  Scott A. England,et al.  The influence of gait speed on local dynamic stability of walking. , 2007, Gait & posture.

[12]  J. Dingwell,et al.  Separating the effects of age and walking speed on gait variability. , 2008, Gait & posture.

[13]  Jeffrey M. Hausdorff,et al.  Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease. , 1997, Journal of applied physiology.

[14]  R. Shiavi,et al.  Electromyographic gait assessment, Part 1: Adult EMG profiles and walking speed. , 1987, Journal of rehabilitation research and development.

[15]  L. Pinneo On noise in the nervous system. , 1966, Psychological review.

[16]  Olivier Beauchet,et al.  Changes in gait while backward counting in demented older adults with frontal lobe dysfunction. , 2007, Gait & posture.

[17]  K. Granata,et al.  Paraspinal muscle reflex dynamics. , 2004, Journal of biomechanics.

[18]  S. Rubin,et al.  Cognitive function, gait speed decline, and comorbidities: the health, aging and body composition study. , 2007, The journals of gerontology. Series A, Biological sciences and medical sciences.

[19]  N. Alexander Gait Disorders in Older Adults , 1996, Journal of the American Geriatrics Society.

[20]  D. Sternad,et al.  Slower speeds in patients with diabetic neuropathy lead to improved local dynamic stability of continuous overground walking. , 2000, Journal of biomechanics.

[21]  W. Godwin Article in Press , 2000 .

[22]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos , 2024 .

[23]  Xiaonan Xue,et al.  Cognitive processes related to gait velocity: results from the Einstein Aging Study. , 2006, Neuropsychology.

[24]  C Basdogan,et al.  Kinematics and dynamic stability of the locomotion of post-polio patients. , 1996, Journal of biomechanical engineering.

[25]  Thurmon E Lockhart,et al.  Dynamic stability differences in fall-prone and healthy adults. , 2008, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[26]  Maarten F. Bobbert,et al.  Control of support limb muscles in recovery after tripping in young and older subjects , 2004, Experimental Brain Research.

[27]  J. Dingwell,et al.  Effects of walking speed, strength and range of motion on gait stability in healthy older adults. , 2008, Journal of biomechanics.

[28]  H. Abarbanel,et al.  Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[29]  J. Dingwell,et al.  Kinematic variability and local dynamic stability of upper body motions when walking at different speeds. , 2006, Journal of biomechanics.

[30]  Allon Goldberg,et al.  Gait disorders: search for multiple causes. , 2005, Cleveland Clinic journal of medicine.

[31]  P. Cavanagh,et al.  Increased variability of continuous overground walking in neuropathic patients is only indirectly related to sensory loss. , 2001, Gait & posture.

[32]  James P. Crutchfield,et al.  Geometry from a Time Series , 1980 .

[33]  F. Lacquaniti,et al.  Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.

[34]  J. Dingwell,et al.  Nonlinear time series analysis of normal and pathological human walking. , 2000, Chaos.

[35]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering , 1994 .

[36]  R. Shiavi Electromyographic patterns in adult locomotion: a comprehensive review. , 1985, Journal of rehabilitation research and development.

[37]  Jonathan B Dingwell,et al.  Comparison of different state space definitions for local dynamic stability analyses. , 2009, Journal of biomechanics.

[38]  Jonathan B. Dingwell,et al.  A direct comparison of local dynamic stability during unperturbed standing and walking , 2006, Experimental Brain Research.

[39]  A. Drewnowski,et al.  Journals of Gerontology , 2001 .

[40]  F Lacquaniti,et al.  Spinal cord maps of spatiotemporal alpha-motoneuron activation in humans walking at different speeds. , 2006, Journal of neurophysiology.

[41]  J. Donelan,et al.  Mechanical and metabolic requirements for active lateral stabilization in human walking. , 2004, Journal of biomechanics.

[42]  S. Haugland,et al.  Falls in the elderly , 1992, The Lancet.

[43]  Richard R Neptune,et al.  The effect of walking speed on muscle function and mechanical energetics. , 2008, Gait & posture.

[44]  M. Woollacott,et al.  Postural Muscle Responses Following Changing Balance Threats in Young, Stable Older, and Unstable Older Adults , 2002, Journal of motor behavior.

[45]  Jonathan B Dingwell,et al.  Differences between local and orbital dynamic stability during human walking. , 2007, Journal of biomechanical engineering.

[46]  Jeffrey M. Hausdorff,et al.  Can Methylphenidate Reduce Fall Risk in Community‐Living Older Adults? A Double‐Blind, Single‐Dose Cross‐Over Study , 2008, Journal of the American Geriatrics Society.

[47]  F. Ando,et al.  Frequencies and circumstances of falls in the National Institute for Longevity Sciences, Longitudinal Study of Aging (NILS-LSA). , 2000, Journal of epidemiology.

[48]  B.H. Jansen,et al.  Multidimensional EMG-based assessment of walking dynamics , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[49]  C. Giuliani,et al.  Within- and between-session consistency of electromyographic temporal patterns of walking in non-disabled older adults , 1997 .