Literature DB >> 15519595

Quantification of human motion: gait analysis-benefits and limitations to its application to clinical problems.

Sheldon R Simon1.   

Abstract

The technology supporting the analysis of human motion has advanced dramatically. Past decades of locomotion research have provided us with significant knowledge about the accuracy of tests performed, the understanding of the process of human locomotion, and how clinical testing can be used to evaluate medical disorders and affect their treatment. Gait analysis is now recognized as clinically useful and financially reimbursable for some medical conditions. Yet, the routine clinical use of gait analysis has seen very limited growth. The issue of its clinical value is related to many factors, including the applicability of existing technology to addressing clinical problems; the limited use of such tests to address a wide variety of medical disorders; the manner in which gait laboratories are organized, tests are performed, and reports generated; and the clinical understanding and expectations of laboratory results. Clinical use is most hampered by the length of time and costs required for performing a study and interpreting it. A "gait" report is lengthy, its data are not well understood, and it includes a clinical interpretation, all of which do not occur with other clinical tests. Current biotechnology research is seeking to address these problems by creating techniques to capture data rapidly, accurately, and efficiently, and to interpret such data by an assortment of modeling, statistical, wave interpretation, and artificial intelligence methodologies. The success of such efforts rests on both our technical abilities and communication between engineers and clinicians.

Entities:  

Mesh:

Year:  2004        PMID: 15519595     DOI: 10.1016/j.jbiomech.2004.02.047

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


  65 in total

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Authors:  Sébastien Lustig; Robert A Magnussen; Laurence Cheze; Philippe Neyret
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-01-04       Impact factor: 4.342

Review 2.  Assessing the interplay between cognition and gait in the clinical setting.

Authors:  A H Snijders; C C Verstappen; M Munneke; B R Bloem
Journal:  J Neural Transm (Vienna)       Date:  2007-07-06       Impact factor: 3.575

3.  The John Insall award: no benefit of minimally invasive TKA on gait and strength outcomes: a randomized controlled trial.

Authors:  Julien Wegrzyn; Sebastien Parratte; Krista Coleman-Wood; Kenton R Kaufman; Mark W Pagnano
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

4.  Quantification of postural stability in older adults using mobile technology.

Authors:  Sarah J Ozinga; Jay L Alberts
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

5.  Measuring upper limb function in children with hemiparesis with 3D inertial sensors.

Authors:  Christopher J Newman; Roselyn Bruchez; Sylvie Roches; Marine Jequier Gygax; Cyntia Duc; Farzin Dadashi; Fabien Massé; Kamiar Aminian
Journal:  Childs Nerv Syst       Date:  2017-08-25       Impact factor: 1.475

6.  A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.

Authors:  Brandon Oubre; Jean-Francois Daneault; Katherine Boyer; Jae Hyun Kim; Mahmood Jasim; Paolo Bonato; Sunghoon Ivan Lee
Journal:  IEEE Trans Biomed Eng       Date:  2020-11-19       Impact factor: 4.538

7.  The gait deviations of ankylosing spondylitis with hip involvement.

Authors:  Guoning Zhang; Jia Li; Zhengliang Xia; Weidong Xu
Journal:  Clin Rheumatol       Date:  2019-01-04       Impact factor: 2.980

8.  Kinematic Analysis of Gait Following Intra-articular Corticosteroid Injection into the Knee Joint with an Acute Exacerbation of Arthritis.

Authors:  Saurabh Mehta; Barbara L Shay; Tony Szturm; Hani S El-Gabalawy
Journal:  Physiother Can       Date:  2011-10-20       Impact factor: 1.037

9.  Accuracy and repeatability of smartphone sensors for measuring shank-to-vertical angle.

Authors:  Brandon T Nguyen; Nick A Baicoianu; Darrin B Howell; Keshia M Peters; Katherine M Steele
Journal:  Prosthet Orthot Int       Date:  2020-04-21       Impact factor: 1.895

10.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

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