Measures of dynamic stability: Detecting differences between walking overground and on a compliant surface

Chang, Matthew; Sejdić, Ervin; Wright, Virginia; Chau, Tom

doi:10.1016/j.humov.2010.04.009

Cited by 63 publications

(65 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is in agreement with the studies of diseased populations, including Schaafsma et al [107], who reported increased stride time variability among Parkinsonian fallers and non-fallers. In a similar manner, both stride interval [108] and step length [117] variability increased in cohorts of healthy young adults during walking on a compliant surface compared with a normal surface. Such changes in variability of spatio-temporal time series during gait therefore seem to be a potential biomarker for fall risk assessment in disturbed intrinsic and extrinsic scenarios.…”

Section: Perspectives On Outcome Measuresmentioning

confidence: 67%

“…Thus, studies that investigated kinematics of foot time series in OY and FNF populations were included, while studies that included patients with musculoskeletal disorders [105][106][107] were excluded, as well as studies using external perturbations [108][109][110] or the assessment of trunk kinematics [35,65]. This review, therefore, offers a somewhat restricted vision of the complete domain of gait stability.…”

Section: Perspectives On Outcome Measuresmentioning

confidence: 99%

“…In contrast, however, Hobbelen & Wisse [112] suggested that FMs might have severe disadvantages as a measure for fall avoidance in bipedal robots. Furthermore, evidence from both modelling [113,114] and experimental human studies [108,115] suggest that FMmax might not necessarily be related to fall risk. The use of FMmax in the assessment of fall risk, therefore, remains controversial.…”

Section: Perspectives On Outcome Measuresmentioning

confidence: 99%

See 2 more Smart Citations

Kinematic measures for assessing gait stability in elderly individuals: a systematic review

Hamacher

Singh

Dieën

et al. 2011

J. R. Soc. Interface.

341

281

View full text Add to dashboard Cite

Falls not only present a considerable health threat, but the resulting treatment and loss of working days also place a heavy economic burden on society. Gait instability is a major fall risk factor, particularly in geriatric patients, and walking is one of the most frequent dynamic activities of daily living. To allow preventive strategies to become effective, it is therefore imperative to identify individuals with an unstable gait. Assessment of dynamic stability and gait variability via biomechanical measures of foot kinematics provides a viable option for quantitative evaluation of gait stability, but the ability of these methods to predict falls has generally not been assessed. Although various methods for assessing gait stability exist, their sensitivity and applicability in a clinical setting, as well as their cost-effectiveness, need verification. The objective of this systematic review was therefore to evaluate the sensitivity of biomechanical measures that quantify gait stability among elderly individuals and to evaluate the cost of measurement instrumentation required for application in a clinical setting. To assess gait stability, a comparative effect size (Cohen's d ) analysis of variability and dynamic stability of foot trajectories during level walking was performed on 29 of an initial yield of 9889 articles from four electronic databases. The results of this survey demonstrate that linear variability of temporal measures of swing and stance was most capable of distinguishing between fallers and non-fallers, whereas step width and stride velocity prove more capable of discriminating between old versus young (OY) adults. In addition, while orbital stability measures (Floquet multipliers) applied to gait have been shown to distinguish between both elderly fallers and non-fallers as well as between young and old adults, local stability measures (ls) have been able to distinguish between young and old adults. Both linear and nonlinear measures of foot time series during gait seem to hold predictive ability in distinguishing healthy from fall-prone elderly adults. In conclusion, biomechanical measurements offer promise for identifying individuals at risk of falling and can be obtained with relatively low-cost tools. Incorporation of the most promising measures in combined retrospective and prospective studies for understanding fall risk and designing preventive strategies is warranted.

show abstract

Section: Perspectives On Outcome Measuresmentioning

confidence: 67%

Section: Perspectives On Outcome Measuresmentioning

confidence: 99%

Section: Perspectives On Outcome Measuresmentioning

confidence: 99%

See 1 more Smart Citation

Kinematic measures for assessing gait stability in elderly individuals: a systematic review

Hamacher

Singh

Dieën

et al. 2011

J. R. Soc. Interface.

341

281

View full text Add to dashboard Cite

show abstract

“…Therefore, if α is indeed a reflection of neuromotor control (Hausdorff, 2007;Fairley et al, 2009a), these gross energy measures may not be sensitive enough to reflect the underlying neurological processes associated with motor activity alone. Alternatively, given that an association between either energy utilization or dynamic stability has yet to be found (Malatesta et al, 2003;Fairley et al, 2009a;Chang et al, 2009a), stride interval persistence may not simply imply biomechanical efficiency. To this end, recent conjecture proposes that α may be more directly related to the extent of cognitive processes required of a particular gait task (Delignieres and Torre, 2009;Fairley et al, 2009a).…”

Section: Discussionmentioning

confidence: 99%

The effect of treadmill walking on the stride interval dynamics of children

Fairley

Sejdić

Chau

2010

Human Movement Science

Self Cite

View full text Add to dashboard Cite

The stride interval of typical human gait is correlated over thousands of strides. This statistical persistence diminishes with age, disease, and pace-constrained walking. Considering the widespread use of treadmills in rehabilitation and research, it is important to understand the effect of this speed-constrained locomotor modality on stride interval dynamics. To this end, and given that the dynamics of children have been largely unexplored, this study investigated the impact of treadmill walking, both with and without handrail use, on paediatric stride interval dynamics. An initial stationarity analysis of stride interval time series identified both non-stationary and stationary signals during all walking conditions. Subsequent scaling analysis revealed diminished stride interval persistence during unsupported treadmill walking compared to overground walking. Finally, while the correlation between stride interval dynamics and gross energy expenditure was investigated in an effort to elucidate the clinical meaning of persistence, no simple linear correlation was found.ii DedicationTo my grandmother, whose inspiration I will carry with me always.iii Acknowledgements A sincere thank-you to my supervisor, Dr. Tom Chau, whose patience, support and guidance has allowed me to navigate the world of research. I am continually amazed by your dedication to your students and work, and am grateful for the knowledge and training that you have provided me.To my committee members, Dr. Karl Zabjek and Dr. Brian Maki, thank you for your invaluable feedback and advice.To the members of the PRISM lab, I am truly appreciative of your insights, perspectives and friendship. A special thank-you to Brian Nhan, Jorge Torres, Sarah Power and Stefanie Blain, with whom I shared an office, for your considerable help, thoughtful comments, good humour, and fun. Many thanks also to: Ervin Sejdić, for your expertise and contribution; Ka Lun Tam, for your technical wizardry; and Matthew Chang, for the thought-provoking discussions.

show abstract

“…In this paper, this algorithm is mainly used to differentiate the physical characteristics of soil. The dynamic stability effect of compliant surface on the gait has already studied in [39]. Our algorithm implemented in the shoe differentiates the type of soil for a better risk evaluation.…”

Section: B Softwarementioning

confidence: 99%

Toward an augmented shoe for preventing falls related to physical conditions of the soil

Otis

Ménélas

2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

Abstract-It is known that the physical conditions of an environment might represent an important risk of falling. In this paper, we report an ongoing project toward the creation of intelligent clothes aiming at preventing falls related to such conditions. The package described here is centered on an intelligent shoe. The developed prototype counts two main parts: hardware and software. The material is composed of a set of sensors and actuators, distributed in strategic positions of the shoe, while the software is a soft real-time system running on a Smartphone. Our prototype has been served for the differentiation of physical properties of soils (concrete, broken stone, sand and dust stone).

show abstract

Measures of dynamic stability: Detecting differences between walking overground and on a compliant surface

Cited by 63 publications

References 43 publications

Kinematic measures for assessing gait stability in elderly individuals: a systematic review

Kinematic measures for assessing gait stability in elderly individuals: a systematic review

The effect of treadmill walking on the stride interval dynamics of children

Toward an augmented shoe for preventing falls related to physical conditions of the soil

Contact Info

Product

Resources

About