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Open AccessJournal ArticleDOI

Comparison of gait patterns in elderly fallers and non-fallers.

TLDR
Results suggest that spatio-temporal variables and GRF variables would be useful for distinguishing prospective fallers from non-fallers among the elderly.
Abstract
Gait is associated with an important risk factor of falls in the elderly. It is important to find differences of quantitative gait variables between fallers and non-fallers. The aim of this study was to investigate gait patterns in elderly fallers and non-fallers. Thirty-eight fallers and 38 non-fallers of similar age and height participated in this study. Subjects walked across the GaitRite walkway at self-selected comfortable speeds. Spatio-temporal gait variables were measured to characterize gait patterns. Kinetic variables were derived from normalized vertical ground reaction force (GRF). Independent t-tests were performed to compare the fallers with the non-fallers. The fallers walked more slowly with shorter steps and more variable step times than the non-fallers (p< 0.05). The fallers showed a longer stance phase with increased double-limb support than the non-fallers (p< 0.05). The times to reach maximal weight acceptance and mid-stance of the fallers were significantly longer than those of the non-fallers (p< 0.05). These results suggest that spatio-temporal variables and GRF variables would be useful for distinguishing prospective fallers from non-fallers among the elderly.

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Journal ArticleDOI

Quantitative Gait Analysis and Cerebrospinal Fluid Tap Test for Idiopathic Normal-pressure Hydrocephalus.

TL;DR: Results suggest that the CSFTT for InPH patients might improve the so-called balance-related gait parameter (ie, step width) as well, and association between FAB scores and both stride time and stride length variability suggests involvement of similar circuits producing gait variability and frontal lobe functions in INPH patients.
Journal ArticleDOI

Evaluation of movement and brain activity.

TL;DR: In this article, a review of clinical neurophysiology studies of human movement is presented, focusing on EMG, EEG, MEG, evoked potentials, coherence, accelerometry, posturography (balance), gait, and sleep studies.
Journal ArticleDOI

A comparison of turn and straight walking phases as predictors of incident falls.

TL;DR: Gait variables collected during turning and walking straight were similar in their predictions of future falls, and clinical research that builds on these findings could improve identification and prevention of falls.
Journal ArticleDOI

The effects of dual-task cognitive interference on gait and turning in Huntington's disease.

TL;DR: This study investigated whether fast-paced and dual-task walking uncover deficits in gait and turning not seen under single-task, whether cognitive and gait outcomes relate to fall incidence, and whether gait deficits measured with wearable inertial sensors correlate with motor symptom severity in HD as measured by the Unified Huntington’s disease Rating Scale-total motor score (UHDRS-TMS.
References
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Journal ArticleDOI

Risk factors for falls in a community-based prospective study of people 70 years and older.

TL;DR: Factors associated with falls in a community-based prospective study of 761 subjects 70 years and older found decreased levels of physical activity, stroke, arthritis of the knees, impairment of gait, and increased body sway were associated with an increased risk of falls.
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Biomechanical Walking Pattern Changes in the Fit and Healthy Elderly

TL;DR: A separate gait database is needed in order to pinpoint falling disorders of the elderly, as significant differences attributable to age alone are apparent.
Journal ArticleDOI

Epidemiology of falls

TL;DR: This epidemiological review of falls concentrates on four main components, different ways of defining and classifying falls and fallers, and the causes and impact of falls in the older population.
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Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington’s disease

TL;DR: It is demonstrated that strike-interval fluctuations are more random (i.e., less correlated) in elderly subjects and in subjects with Huntington's disease, which are apparently associated with changes in central nervous system control.
Journal ArticleDOI

Quantitative Gait Markers and Incident Fall Risk in Older Adults

TL;DR: Quantitative gait markers are independent predictors of falls in older adults and should be further studied to improve current fall risk assessments and to develop new interventions.
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