Evaluating forefoot-to-rearfoot symmetry during gait in healthy older adults

Riskowski, Jody L.

doi:10.1080/19424280.2011.575826

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…The results of the current study are consistent with those of Riskowski et al [32] . Those authors found that dominant lower limbs are responsible for greater loading forces and greater propulsive forces than the non-dominant.…”

Section: Discussionsupporting

confidence: 83%

Weight-Bearing and Non-Weight Bearing Proprioception Assessment of Dominant and Non-Dominant Lower Limbs in Adult Females

Hanafy¹

2017

jmscr

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Section: Discussionsupporting

confidence: 83%

Weight-Bearing and Non-Weight Bearing Proprioception Assessment of Dominant and Non-Dominant Lower Limbs in Adult Females

Hanafy¹

2017

jmscr

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“…number of steps per minute) was then calculated by finding the number of foot strikes divided by the total time of the walking bout in minutes. The symmetry index (SI) of step times was calculated by taking the absolute value of the difference of time spent on each foot, divided by half of the total time as in [42]. The coefficient of variance (CV) of the step time was calculated as the standard deviation of the time of each step divided by the average step time.…”

Section: Estimation Of Gait Variables From Keypointsmentioning

confidence: 99%

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Mehdizadeh

Iaboni

et al. 2020

IEEE J. Transl. Eng. Health Med.

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Fall risk is high for older adults with dementia. Gait impairment contributes to increased fall risk, and gait changes are common in people with dementia, although the reliable assessment of gait is challenging in this population. This study aimed to develop an automated approach to performing gait assessments based on gait data that is collected frequently and unobtrusively, and analysed using computer vision methods. Recent developments in computer vision have led to the availability of open source human pose estimation algorithms, which automatically estimate the joint locations of a person in an image. In this study, a preexisting pose estimation model was applied to 1066 walking videos collected of 31 older adults with dementia as they walked naturally in a corridor on a specialized dementia unit over a two week period. Using the tracked pose information, gait features were extracted from video recordings of gait bouts and their association with clinical mobility assessment scores and future falls data was examined. A significant association was found between extracted gait features and a clinical mobility assessment and the number of future falls, providing concurrent and predictive validation of this approach.

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“…10 Riskowski et al reported in 2011 that, since gait depends on symmetry and asymmetry patterns, the dominant leg was found to be the leg with the superior propulsive force. 15 They suggest that people may step forward with the leg they perceive as the stronger limb or the limb with the better force. It is thus tempting to postulate that the pattern of putting the best foot forward could perhaps be the limb that may be at additional risk for injury.…”

Section: Discussionmentioning

confidence: 99%

A five-year audit of lower limb amputations below the knee and rehabilitation outcomes: the Durban experience

Manickum

Ramklass

Madiba

2019

Journal of Endocrinology, Metabolism and Diabetes of South Afri

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Lower limb amputation (LLA) due to diabetes mellitus (DM) is a growing epidemic worldwide. Objectives: To determine the prevalence of LLAs at Addington Hospital from 2010 to 2014 and to explore the rehabilitation outcomes of amputees. Design and setting: A retrospective chart review of LLAs below the knee was undertaken at Addington Hospital. Subjects: Patients who underwent LLAs were filtered from theatre registers. Methodology: A data collection sheet included demographic profile, diabetic status, level of amputation, limb orientation and rehabilitation outcomes. Outcome measures: Study endpoints were prevalence, compliance and rehabilitation outcomes. Results: From 2010 to 2014, 767 LLAs in 667 patients were identified. Mean age was 59 (13.2) years. M:F ratio was 1:1. Of these, 354 patients (53.1%) had DM. Level of amputation was below-knee 57%, trans-metatarsal 12.4% and toectomy 30.6%. Only 116 patients (17.4%) were referred for physiotherapy, of whom 95 (81.9%) attended. Median frequency of physiotherapy visits was five and four for diabetic and non-diabetic amputees respectively. Mobility after rehabilitation was with a walking frame (49%), crutches (32%), prosthesis and crutches (8%), wheelchair-bound (9%) and independent gait (1%). Conclusion: Over half of amputations were associated with DM. The gender incidence was similar. Referral to physiotherapy and adherence thereto was poor.

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Evaluating forefoot-to-rearfoot symmetry during gait in healthy older adults

Cited by 5 publications

References 9 publications

Weight-Bearing and Non-Weight Bearing Proprioception Assessment of Dominant and Non-Dominant Lower Limbs in Adult Females

Weight-Bearing and Non-Weight Bearing Proprioception Assessment of Dominant and Non-Dominant Lower Limbs in Adult Females

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

A five-year audit of lower limb amputations below the knee and rehabilitation outcomes: the Durban experience

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