| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Research Reports |
SJ Olney, PhD, is Professor, School of Rehabilitation Therapy, Queen's University, Kingston, Ontario, Canada K7L 3N6.
MP Griffin, PhD, is Associate Professor, Department of Mathematics and Statistics, Queen's University.
ID McBride, MSc, is Research Associate, School of Rehabilitation Therapy, Queen's University.
Background and Purpose. The gait speed that a patient selects is a well-known indicator of overall gait performance. The purpose of this study was to use multiple linear regression to assess the strength of association of temporal, kinematic, and kinetic gait variables with high walking speeds in patients with hemiplegia. Subjects. Thirty-two subjects (20 male, 12 female) with an average age of 61 years took part in a sagittal-plane gait study of both sides of the body. Methods. Data from cinematographic film and a force plate obtained during multiple walking trials were used in a seven-segment link-segment kinetic model of the walking subject to yield temporal, kinematic, and kinetic variables. Results. Variables correlating significantly with self-selected speed included the maximum hip extension angle and the maximum hip flexion moment on the affected side, and the maximum ankle and hip powers on both sides. A stepwise regression identified variables most useful in predicting stride speed. For the affected side, these variables were the hip flexion moment, the ankle moment range, the knee moment range, and the proportion of double support. Together these variables explained 94% of the variation in gait speed. On the unaffected side, the variables were the percentage of stance phase, the maximum ankle power (push-off), and the maximum hip power (pull-off). They explained 92% of the variation in gait speed. Conclusion and Discussion. These results suggest that experimental studies are needed to assess the effects of treatment aimed at increasing ankle power and hip power and at decreasing the stance time on the affected side, and that these studies should be directed at obtaining a larger hip flexion moment and a larger ankle moment range on the unaffected side.
Key Words: Biomechanics • Cerebrovascular disorders • Gait • Hemiplegia
CiteULike 
Complore 
Connotea 
Del.icio.us 
Digg 
Reddit 
Technorati What's this?
This article has been cited by other articles:
|
|
 |
|
  D. S. Reisman, R. Wityk, K. Silver, and A. J. Bastian Split-Belt Treadmill Adaptation Transfers to Overground Walking in Persons Poststroke Neurorehabil Neural Repair, September 1, 2009; 23(7): 735 - 744. [Abstract] [PDF]
|
|
|
|
|
|
D. S. Reisman, K. S. Rudolph, and W. B. Farquhar Influence of Speed on Walking Economy Poststroke Neurorehabil Neural Repair, July 1, 2009; 23(6): 529 - 534. [Abstract] [PDF]
|
|
|
|
 |
|
 S. S Kuys, S. G Brauer, L. Ada, and T. G Russell Immediate effect of treadmill walking practice versus overground walking practice on overground walking pattern in ambulatory stroke patients: an experimental study Clinical Rehabilitation, October 1, 2008; 22(10-11): 931 - 939. [Abstract] [PDF]
|
|
|
|
 |
|
 M. Roerdink, C. J. Lamoth, G. Kwakkel, P. C. van Wieringen, and P. J Beek Gait Coordination After Stroke: Benefits of Acoustically Paced Treadmill Walking Physical Therapy, August 1, 2007; 87(8): 1009 - 1022. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. S. Reisman, R. Wityk, K. Silver, and A. J. Bastian Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke Brain, July 1, 2007; 130(7): 1861 - 1872. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
B. Kollen, G. Kwakkel, and E. Lindeman Time Dependency of Walking Classification in Stroke Physical Therapy, May 1, 2006; 86(5): 618 - 625. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Fujisawa and R. Takeda A new clinical test of dynamic standing balance in the frontal plane: the side-step test Clinical Rehabilitation, April 1, 2006; 20(4): 340 - 346. [Abstract] [PDF]
|
|
|
|
 |
|
 R. L. Martin and T. G. McPoil Reliability of Ankle Goniometric Measurements: A Literature Review J Am Podiatr Med Assoc, November 1, 2005; 95(6): 564 - 572. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P Thoumie, D Lamotte, S Cantalloube, M Faucher, and G Amarenco Motor determinants of gait in 100 ambulatory patients with multiple sclerosis Multiple Sclerosis, August 1, 2005; 11(4): 485 - 491. [Abstract] [PDF]
|
|
|
|
|
|
R. Bayat, H. Barbeau, and A. Lamontagne Speed and Temporal-Distance Adaptations during Treadmill and Overground Walking Following Stroke Neurorehabil Neural Repair, June 1, 2005; 19(2): 115 - 124. [Abstract] [PDF]
|
|
|
|
 |
|
 R. R. Neptune and K. Sasaki Ankle plantar flexor force production is an important determinant of the preferred walk-to-run transition speed J. Exp. Biol., March 1, 2005; 208(5): 799 - 808. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. Lamontagne and J. Fung Faster Is Better: Implications for Speed-Intensive Gait Training After Stroke Stroke, November 1, 2004; 35(11): 2543 - 2548. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P Thoumie and E Mevellec Relation between walking speed and muscle strength is affected by somatosensory loss in multiple sclerosis J. Neurol. Neurosurg. Psychiatry, September 1, 2002; 73(3): 313 - 315. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Sadeghi, P. Allard, and M. Duhaime Contributions of Lower-Limb Muscle Power in Gait of People Without Impairments Physical Therapy, December 1, 2000; 80(12): 1188 - 1196. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
