Gait Pattern in the Early Recovery Period after Stroke*

Quervain, Inès A. Kramers De; Simon, Sheldon R.; Leurgans, Sue E.; Pease, William S.; McAllister, David R.

doi:10.2106/00004623-199610000-00008

Cited by 260 publications

(170 citation statements)

References 11 publications

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“…[4][5][6][7] Relative to values of neurologically healthy persons walking at their selfselected speeds, the sagittal joint magnitude has been generally reported as decreased for both lower limbs with a greater reduction on the paretic side. 5,[8][9] Furthermore, contrary to the gait of healthy individuals, which is fairly consistent in pattern across subjects, marked variation in gait patterns has been noted in persons with stroke.…”

Section: Introductionmentioning

confidence: 99%

“…5,[8][9] Furthermore, contrary to the gait of healthy individuals, which is fairly consistent in pattern across subjects, marked variation in gait patterns has been noted in persons with stroke. For example, Kramers de Quervain et al 4 reported four coupling patterns of sagittal knee and ankle motion during stance and Knutsson and Richards10 described three types of abnormal muscle activation patterns during gait following stroke. As to date, very little data is available on the nonsagittal gait profiles of persons with stroke.…”

Section: Introductionmentioning

confidence: 99%

“…The type of pattern associated with higher walking speeds, however, has not been identified in persons with stroke except in one instance. Kramers de Quervain et al 4 identified four kinematic knee patterns in persons with acute stroke and found that slow walkers showed patterns that differed from the typical pattern found in healthy gait whereas the fast walkers demonstrated this typical pattern. In stroke rehabilitation programs, gait training is often aimed at "normalizing" the patterns.…”

Section: Introductionmentioning

confidence: 99%

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Magnitude and pattern of 3D kinematic and kinetic gait profiles in persons with stroke: relationship to walking speed

2004

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The purpose of this study was to identify 3D kinematic and kinetic gait profiles in individuals with chronic stroke and to determine whether the magnitude or pattern (shape and direction of curve) of these profiles relate to gait performance (as measured by self-selected gait speed). More than one type of kinematic and kinetic pattern was identified in all three planes in 20 individuals with stroke (age = 61.2 ± 8.4 years). Persons in the "fast" speed group did not necessarily exhibit the gait patterns closest to the ones reported for healthy adults. For example, in the frontal plane, a variation from the typical pattern (i.e., a hip abductor pattern in swing) was more common among the "fast" group. Correlations revealed that in addition to the sagittal profiles, the magnitudes of the frontal and transverse profiles are also related to speed, particularly the frontal hip powers. The results support the importance of hip abductors, in addition to the sagittal plane muscle groups, for both the paretic and non-paretic limbs. Furthermore, profiles which resemble gait patterns of neurologically healthy adults do not necessarily result in the faster gait speeds for individuals with chronic stroke.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Magnitude and pattern of 3D kinematic and kinetic gait profiles in persons with stroke: relationship to walking speed

2004

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“…Several studies have suggested classification of different types of hemiplegic gait patterns in stroke patients. [11][12][13][14] However, much is still unknown about the relation between the changes in gait patterns over time and functional recovery of walking ability in stroke patients. Our purpose in this study, therefore, was to gain more insight into this relation.…”

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confidence: 99%

Functional recovery of gait and joint kinematics after right hemispheric stroke

Huitema¹,

Hof

Mulder

et al. 2004

Archives of Physical Medicine and Rehabilitation

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“…This shortcoming has given rise to various attempts at providing formal descriptions and classifications of various types of pathological gait. In terms of post stroke dysfunction, numerous authors (Mulroy et al, 2003;Knutsson & Richards, 1979;Perry et al, 1995;Kramers de Quervain et al, 1996;Kinsella & Moran, 2008) have attempted to identify homogeneous subgroups of post stroke walking patterns. Knutsson & Richards (1979) used EMG signals to distinguish three types of pathological gait.…”

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confidence: 99%