Literature DB >> 29658527

The differences between overground and treadmill walking in nonlinear, entropy-based and frequency variables derived from accelerometers in young and older women - preliminary report.

Lucia Bizovska1, Zdenek Svoboda1, Eliska Kubonova1, Nicolas Vuillerme2,3, Zuzana Hirjakova4, Miroslav Janura1.   

Abstract

PURPOSE: The aim of this study was to compare gait stability and variability between walking conditions and age groups.
METHODS: Twenty-six healthy younger and older females participated. Trunk acceleration in the vertical (V), medial-lateral (ML) and anteriorposterior (AP) directions during 5 minutes walking overground and 3 minutes walking on the treadmill at self-selected speed were recorded. Root mean square and standard deviations of acceleration, stride time and its variability, Lyapunov exponents (LE), multiscale entropy (MSE) and harmonic ratios (HR) were computed.
RESULTS: Both age groups showed significantly higher stride time variability and short-term LE in all directions during overground walking. For the older group, overground walking showed higher V and AP standard deviation. Significantly lower values for overground walking were observed for long-term LE (V and ML for the younger group, ML for the older group), HR (ML for the older group) and MSE (V for the older group). Significant age-related differences were found for V long-term LE for overground walking.
CONCLUSIONS: The present findings suggest that both linear and advanced computational techniques for gait stability and variability assessment in older adults are sensitive to walking conditions.

Entities:  

Mesh:

Year:  2018        PMID: 29658527

Source DB:  PubMed          Journal:  Acta Bioeng Biomech        ISSN: 1509-409X            Impact factor:   1.073


  6 in total

1.  Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study.

Authors:  Arash Mohammadzadeh Gonabadi; Prokopios Antonellis; Philippe Malcolm
Journal:  Acta Bioeng Biomech       Date:  2021       Impact factor: 1.073

2.  On the choice of multiscale entropy algorithm for quantification of complexity in gait data.

Authors:  Peter C Raffalt; William Denton; Jennifer M Yentes
Journal:  Comput Biol Med       Date:  2018-10-10       Impact factor: 4.589

3.  Inertial Sensor-Based Gait and Attractor Analysis as Clinical Measurement Tool: Functionality and Sensitivity in Healthy Subjects and Patients With Symptomatic Lumbar Spinal Stenosis.

Authors:  S Kimberly Byrnes; Corina Nüesch; Stefan Loske; Andrea Leuenberger; Stefan Schären; Cordula Netzer; Annegret Mündermann
Journal:  Front Physiol       Date:  2018-08-14       Impact factor: 4.566

4.  The effects of walking speed and mobile phone use on the walking dynamics of young adults.

Authors:  Patrick Crowley; Nicolas Vuillerme; Afshin Samani; Pascal Madeleine
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

Review 5.  Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review.

Authors:  Arezoo Amirpourabasi; Sallie E Lamb; Jia Yi Chow; Geneviève K R Williams
Journal:  Sensors (Basel)       Date:  2022-06-10       Impact factor: 3.847

Review 6.  Entropy Analysis in Gait Research: Methodological Considerations and Recommendations.

Authors:  Jennifer M Yentes; Peter C Raffalt
Journal:  Ann Biomed Eng       Date:  2021-02-09       Impact factor: 3.934

  6 in total

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