Literature DB >> 9644215

Individual characteristics of human walking mechanics.

L Bianchi1, D Angelini, F Lacquaniti.   

Abstract

Twenty-four subjects walked at different speeds (V) from 0.4 to 2.6 m s-1, while motion and ground reaction forces were recorded in 3-D space. The total mechanical energy of each body segment was computed as the sum of the gravitational potential, translation and rotation kinetic energies. Energy profiles reveal that there are inter-individual differences, particularly at moderate and fast V. In some subjects, the energy excursions are less pronounced, and tend to evolve out of phase at the lower limbs and trunk. As a consequence, there is a better transfer of energy between the trunk and the leg segments, resulting in smaller oscillations of the net energy of the whole body. There is a threefold variation of the rate of increment of lnPu (the mass-specific mean absolute power) with lnV across subjects. We show that this variability cannot be simply explained on the basis of the different biomechanical characteristics of the subjects, but that it depends on the different kinematic strategies. Subjects differ in their ability to minimize energy oscillations of their body segments and to transfer mechanical energy between the trunk and the limbs. Individual characteristics of the mechanical energy expenditure were correlated with the corresponding kinematic characteristics. The changes of the elevation angles of the lower limb segments covary along a plane in all subjects. Plane orientation (quantified by the direction cosine of the normal with the thigh axis, u3t) at any V is not the same in all subjects, but correlates with the net power output: smaller values of u3t tend to be associated with smaller values of Pu, and vice versa.

Entities:  

Mesh:

Year:  1998        PMID: 9644215     DOI: 10.1007/s004240050642

Source DB:  PubMed          Journal:  Pflugers Arch        ISSN: 0031-6768            Impact factor:   3.657


  20 in total

1.  Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning.

Authors:  O Perrin; P Terrier; Q Ladetto; B Merminod; Y Schutz
Journal:  Med Biol Eng Comput       Date:  2000-03       Impact factor: 2.602

2.  Variability of neural activation during walking in humans: short heels and big calves.

Authors:  A N Ahn; J K Kang; M A Quitt; B C Davidson; C T Nguyen
Journal:  Biol Lett       Date:  2011-02-02       Impact factor: 3.703

3.  Segmental control for adaptive locomotor adjustments during obstacle clearance in healthy young adults.

Authors:  Michael J Maclellan; Bradford J McFadyen
Journal:  Exp Brain Res       Date:  2010-01-05       Impact factor: 1.972

4.  Differential activation of lumbar and sacral motor pools during walking at different speeds and slopes.

Authors:  A H Dewolf; Y P Ivanenko; K E Zelik; F Lacquaniti; P A Willems
Journal:  J Neurophysiol       Date:  2019-07-10       Impact factor: 2.714

5.  Intersegmental coordination patterns are differently affected in Parkinson's disease and cerebellar ataxia.

Authors:  Simon D Israeli-Korn; Avi Barliya; Caroline Paquette; Erika Franzén; Rivka Inzelberg; Fay B Horak; Tamar Flash
Journal:  J Neurophysiol       Date:  2018-11-21       Impact factor: 2.714

6.  Kinematic adaptation of locomotor pattern in rheumatoid arthritis patients with forefoot impairment.

Authors:  Davy Laroche; Paul Ornetti; Elizabeth Thomas; Yves Ballay; Jean Francis Maillefert; Thierry Pozzo
Journal:  Exp Brain Res       Date:  2006-08-17       Impact factor: 1.972

7.  Aging does not affect the intralimb coordination elicited by slip-like perturbation of different intensities.

Authors:  Federica Aprigliano; Dario Martelli; Peppino Tropea; Guido Pasquini; Silvestro Micera; Vito Monaco
Journal:  J Neurophysiol       Date:  2017-07-12       Impact factor: 2.714

8.  Kinematic patterns while walking on a slope at different speeds.

Authors:  A H Dewolf; Y Ivanenko; K E Zelik; F Lacquaniti; P A Willems
Journal:  J Appl Physiol (1985)       Date:  2018-04-26

9.  Increased obstacle clearance in people with ARCA-1 results in part from voluntary coordination changes between the thigh and shank segments.

Authors:  Michael James MacLellan; Nicolas Dupré; Bradford J McFadyen
Journal:  Cerebellum       Date:  2011-12       Impact factor: 3.847

10.  Use of accelerometry to measure physical activity in older adults at risk for mobility disability.

Authors:  Leslie A Pruitt; Nancy W Glynn; Abby C King; Jack M Guralnik; Erin K Aiken; Gary Miller; William L Haskell
Journal:  J Aging Phys Act       Date:  2008-10       Impact factor: 1.961

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