Literature DB >> 14672575

Estimation of gait cycle characteristics by trunk accelerometry.

Rolf Moe-Nilssen1, Jorunn L Helbostad.   

Abstract

This study reports on the novel use of a portable system to measure gait cycle parameters. Measurements were made by a triaxial accelerometer over the lower trunk during timed walking over a range of self-administered speeds. Signals from each trial were transformed to a horizontal-vertical coordinate system and analyzed by an unbiased autocorrelation procedure to obtain cadence, step length, and measures of gait regularity and symmetry. By curvilinear interpolation, speed-dependent gait parameters could be compared at a normalized speed. It was demonstrated that analysis of gait cycle parameters which previously required fixed laboratory equipment and paced walking procedures, now can be made from data obtained by a timing device and a portable sensor at free walking speeds.

Mesh:

Year:  2004        PMID: 14672575     DOI: 10.1016/s0021-9290(03)00233-1

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  118 in total

1.  Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy.

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2.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers.

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Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

3.  [Clinical gait analysis].

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Journal:  Unfallchirurg       Date:  2005-08       Impact factor: 1.000

Review 4.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

5.  Consistency in acceleration patterns of football players with different skill levels.

Authors:  Pinar Arpinar-Avsar; Abdullah Ruhi Soylu
Journal:  J Sports Sci Med       Date:  2010-09-01       Impact factor: 2.988

6.  Automated detection of near falls: algorithm development and preliminary results.

Authors:  Aner Weiss; Ilan Shimkin; Nir Giladi; Jeffrey M Hausdorff
Journal:  BMC Res Notes       Date:  2010-03-05

7.  Validation of Gait Characteristics Extracted From Raw Accelerometry During Walking Against Measures of Physical Function, Mobility, Fatigability, and Fitness.

Authors:  Jacek K Urbanek; Vadim Zipunnikov; Tamara Harris; Ciprian Crainiceanu; Jaroslaw Harezlak; Nancy W Glynn
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

8.  Bracing of the trunk and neck has a differential effect on head control during gait.

Authors:  S Morrison; D M Russell; K Kelleran; M L Walker
Journal:  J Neurophysiol       Date:  2015-07-15       Impact factor: 2.714

9.  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

10.  Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations.

Authors:  Andrea Tura; Michele Raggi; Laura Rocchi; Andrea G Cutti; Lorenzo Chiari
Journal:  J Neuroeng Rehabil       Date:  2010-01-19       Impact factor: 4.262

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