BIOMECHANICAL ANALYSIS OF WALKER-ASSISTED GAIT
BIOMECHANICAL ANALYSIS OF WALKER-ASSISTED GAIT
批准号:
2025543
负责人:
GUY G SIMONEAU
金额:
$10.17万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-07-01 至 1999-12-31
中文摘要
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英文摘要
DESCRIPTION (Adapted from the Applicant's Abstract): Loss of mobility and
the associated loss of self- sufficiency have a dramatic impact on the
elderly and on society. In 1987, the National Center for Health Statistics
reported that the elderly were more likely to have problems with walking
than with any other personal care activity. Often, elderly individuals can
reestablish partial self-sufficiency with assistive devices such as walkers.
Even though walkers are common assistive devices used by the elderly, little
data exist on the biomechanics of walker use. The objective of this study
is to evaluate how older individuals with differing disabilities use
walkers. The long-range goal of the study is to develop better walker
designs and become more knowledgeable in walker use. Subjects participating
in the study will include elderly individuals who can walk without the use
of assistive device ("normal gait" group), elderly individuals who require
the use of a wheel-walker for ambulation and elderly individuals who require
the use of a standard (non-wheeled) walker for ambulation. We will 1)
perform a complete 3D kinematic analysis (including upper extremities, trunk
and lower extremities) of each subject during level ground ambulation, 2)
obtain electromyographic data of seven key muscle groups of the lower
extremities, and gather data on the forces applied to the instrumented
walker by the upper extremities. Subjects will be chosen to minimize
confounding effects caused by factors such as age and disabilities. Data
obtained with the instrumented walker will include the magnitude and the
direction of the forces and torques applied to each walker handle (in the
three orthogonal directions) throughout the full gait cycle. 3D kinematic
data will include maximum and minimum major joint angles and timing of
walking events. Electromyographic data will be analyzed for temporal and
amplitude differences among individuals. Extensive descriptive data
analysis will be performed to document the kinematic, electromyographic and
kinetic (forces applied on the walker) patterns of walker users. ANOVA
models will be used to determine differences among groups (no walker vs
standard walker vs wheel-walker and unilateral vs bilateral deficits). It
is expected that there will be statistically significant differences among
the groups.
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