Literature DB >> 25406522

Clinical assessment of spatiotemporal gait parameters in patients and older adults.

Julia F Item-Glatthorn1, Nicola A Maffiuletti2.   

Abstract

Spatial and temporal characteristics of human walking are frequently evaluated to identify possible gait impairments, mainly in orthopedic and neurological patients, but also in healthy older adults. The quantitative gait analysis described in this protocol is performed with a recently-introduced photoelectric system (see Materials table) which has the potential to be used in the clinic because it is portable, easy to set up (no subject preparation is required before a test), and does not require maintenance and sensor calibration. The photoelectric system consists of series of high-density floor-based photoelectric cells with light-emitting and light-receiving diodes that are placed parallel to each other to create a corridor, and are oriented perpendicular to the line of progression. The system simply detects interruptions in light signal, for instance due to the presence of feet within the recording area. Temporal gait parameters and 1D spatial coordinates of consecutive steps are subsequently calculated to provide common gait parameters such as step length, single limb support and walking velocity, whose validity against a criterion instrument has recently been demonstrated. The measurement procedures are very straightforward; a single patient can be tested in less than 5 min and a comprehensive report can be generated in less than 1 min.

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Year:  2014        PMID: 25406522      PMCID: PMC4353430          DOI: 10.3791/51878

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  17 in total

1.  Quantitative analysis of gait in Parkinson patients: increased variability of stride length.

Authors:  O Blin; A M Ferrandez; G Serratrice
Journal:  J Neurol Sci       Date:  1990-08       Impact factor: 3.181

2.  Concurrent validity and intrasession reliability of the IDEEA accelerometry system for the quantification of spatiotemporal gait parameters.

Authors:  Nicola A Maffiuletti; Mark Gorelick; Ines Kramers-de Quervain; Mario Bizzini; Jeannette Petrich Munzinger; Samuele Tomasetti; Alex Stacoff
Journal:  Gait Posture       Date:  2007-03-01       Impact factor: 2.840

3.  Temporospatial characteristics of gait in patients with lower limb muscle hypertonia after traumatic brain injury.

Authors:  John W Chow; Stuart A Yablon; Terry S Horn; Dobrivoje S Stokic
Journal:  Brain Inj       Date:  2010-10-25       Impact factor: 2.311

4.  Spatiotemporal parameters of gait after total hip replacement: anterior versus posterior approach.

Authors:  Nicola A Maffiuletti; Franco M Impellizzeri; Katharina Widler; Mario Bizzini; Michael S H Kain; Urs Munzinger; Michael Leunig
Journal:  Orthop Clin North Am       Date:  2009-07       Impact factor: 2.472

5.  Validity of the Optogait photoelectric system for the assessment of spatiotemporal gait parameters.

Authors:  Karin Lienhard; David Schneider; Nicola A Maffiuletti
Journal:  Med Eng Phys       Date:  2012-07-18       Impact factor: 2.242

6.  Assessment of spatio-temporal gait parameters using inertial measurement units in neurological populations.

Authors:  Patrick Esser; Helen Dawes; Johnny Collett; Max G Feltham; Ken Howells
Journal:  Gait Posture       Date:  2011-07-20       Impact factor: 2.840

7.  Spatial and temporal parameters of self-selected and fast walking speeds in healthy community-living adults aged 72-98 years.

Authors:  Kevin K Chui; Michelle M Lusardi
Journal:  J Geriatr Phys Ther       Date:  2010 Oct-Dec       Impact factor: 3.381

8.  Normative spatiotemporal gait parameters in older adults.

Authors:  John H Hollman; Eric M McDade; Ronald C Petersen
Journal:  Gait Posture       Date:  2011-04-29       Impact factor: 2.840

9.  Quantitative gait analysis after medial unicompartmental knee arthroplasty for osteoarthritis.

Authors:  Kate E Webster; Joanne E Wittwer; Julian A Feller
Journal:  J Arthroplasty       Date:  2003-09       Impact factor: 4.757

10.  Reliability of spatiotemporal and kinetic gait parameters determined by a new instrumented treadmill system.

Authors:  Lloyd F Reed; Stephen R Urry; Scott C Wearing
Journal:  BMC Musculoskelet Disord       Date:  2013-08-21       Impact factor: 2.362

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  1 in total

1.  Gait pattern in patients with peripheral artery disease.

Authors:  Maria Szymczak; Paweł Krupa; Grzegorz Oszkinis; Marian Majchrzycki
Journal:  BMC Geriatr       Date:  2018-02-20       Impact factor: 3.921

  1 in total

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