Literature DB >> 22041097

Age- and speed-related differences in harmonic ratios during walking.

K A Lowry1, N Lokenvitz, A L Smiley-Oyen.   

Abstract

Harmonic ratios (HRs), derived from trunk accelerations, measure smoothness of trunk motion during gait; higher ratios indicate greater smoothness. Previous research indicates that young adults optimize HRs at preferred pace, exhibiting reduced HRs at speeds faster and slower than preferred. Recent studies examining HRs and other trunk acceleration measures challenge this finding. The purpose of this study was to examine age-related differences in HRs across a range of self-selected overground walking speeds. Anteroposterior (AP), vertical (VT), and mediolateral (ML) HRs were examined in 13 young adults (ages 20-23), 13 healthy older adults (ages 60-69), and 13 healthy old-old adults (ages 80-86) while walking overground at very slow, slow, preferred, fast, and very fast speeds. Young and older adults exhibited similar HRs in all directions of motion across speeds, while old-old adults exhibited lower AP- and VT-HRs. All groups exhibited reduced HRs at speeds slower than preferred. However, there were no differences in HRs between preferred and faster speeds, with the exception of reduced VT-HRs in the very fast condition for the older groups. The ML-HR was not different between groups, and varied less across speeds. Stride time variability exhibited inverse relations with, and independently contributed to, HRs across speeds; lower stride time variability was associated with greater smoothness of trunk motion. Older groups were not disproportionately affected by walking more slowly and smoothness of trunk motion did not show a clear pattern of optimization at preferred pace for any group.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22041097     DOI: 10.1016/j.gaitpost.2011.09.019

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  21 in total

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Authors:  Matthew A D Brodie; Hylton B Menz; Stephen R Lord
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2.  Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals.

Authors:  Alexandre Millecamps; Kristin A Lowry; Jennifer S Brach; Subashan Perera; Mark S Redfern; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-04-04       Impact factor: 4.589

3.  Walking smoothness is associated with self-reported function after accounting for gait speed.

Authors:  Kristin A Lowry; Jessie M Vanswearingen; Subashan Perera; Stephanie A Studenski; Jennifer S Brach
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-20       Impact factor: 6.053

4.  Extraction of stride events from gait accelerometry during treadmill walking.

Authors:  Ervin Sejdić; Kristin A Lowry; Jennica Bellanca; Subashan Perera; Mark S Redfern; Jennifer S Brach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-12-18       Impact factor: 3.316

5.  Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies.

Authors:  Matthias Tietsch; Amir Muaremi; Ieuan Clay; Felix Kluge; Holger Hoefling; Martin Ullrich; Arne Küderle; Bjoern M Eskofier; Arne Müller
Journal:  Digit Biomark       Date:  2020-11-26

6.  Improving motor control in walking: a randomized clinical trial in older adults with subclinical walking difficulty.

Authors:  Jennifer S Brach; Kristin Lowry; Subashan Perera; Victoria Hornyak; David Wert; Stephanie A Studenski; Jessie M VanSwearingen
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7.  Development of a new approach to quantifying stepping stability using ensemble empirical mode decomposition.

Authors:  Xingran Cui; Chung-Kang Peng; Madalena D Costa; Aner Weiss; Ary L Goldberger; Jeffrey M Hausdorff
Journal:  Gait Posture       Date:  2013-09-08       Impact factor: 2.840

8.  Harmonic ratios: a quantification of step to step symmetry.

Authors:  J L Bellanca; K A Lowry; J M Vanswearingen; J S Brach; M S Redfern
Journal:  J Biomech       Date:  2013-01-12       Impact factor: 2.712

9.  Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores.

Authors:  Anisha Suri; Andrea L Rosso; Jessie VanSwearingen; Leslie M Coffman; Mark S Redfern; Jennifer S Brach; Ervin Sejdić
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.591

10.  The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study.

Authors:  Takehiko Doi; Soichiro Hirata; Rei Ono; Kota Tsutsumimoto; Shogo Misu; Hiroshi Ando
Journal:  J Neuroeng Rehabil       Date:  2013-01-28       Impact factor: 4.262

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