Literature DB >> 10899329

Movement biomechanics goes upwards: from the leg to the arm.

G Rau1, C Disselhorst-Klug, R Schmidt.   

Abstract

The analysis of lower limb movements has been well established in biomechanics research and clinical applications for a long time. For these studies, powerful and very advanced tools have been developed to measure movement parameters and reaction forces. The main focus of interest aims towards gait movements while the understanding of the basic concepts is supported by numerous models. Definitions of physiological ranges and detection of pathological changes in movements open an increasingly valuable clinical field of application. If, however, the primary function of the upper extremities as highly variable and adaptive organ for manipulating tasks is the subject of interest, the situation becomes considerably more complex. The nature of free arm movements is completely different from being restricted, repeatable or cyclic as compared to gait. Therefore, the transfer of the knowledge and experience gained in lower extremity movement analysis to the analysis of upper extremities turns out to be difficult. A proposal for how to proceed in measurements, e.g. where to place the markers and how to calculate movements and angles of segments involved, will be discussed which results in the description of the joint movements of wrist, elbow and shoulder joint. The definition of the motion is a specific step in upper extremity motion analysis which is important in terms of repeatability and significance of the results. An example of assessing movement disorders in children with plexus lesion will illustrate the implications and the potential of upper extremity movement analysis in clinical applications.

Entities:  

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Year:  2000        PMID: 10899329     DOI: 10.1016/s0021-9290(00)00062-2

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


  25 in total

1.  Introduction of a method for quantitative evaluation of spontaneous motor activity development with age in infants.

Authors:  Catherine Disselhorst-Klug; Franziska Heinze; Nico Breitbach-Faller; Thomas Schmitz-Rode; Günter Rau
Journal:  Exp Brain Res       Date:  2012-02-11       Impact factor: 1.972

2.  The pediatric upper limb motion index and a temporal-spatial logistic regression: quantitative analysis of upper limb movement disorders during the Reach & Grasp Cycle.

Authors:  Erin E Butler; Jessica Rose
Journal:  J Biomech       Date:  2012-02-02       Impact factor: 2.712

Review 3.  Glenohumeral motion: review of measurement techniques.

Authors:  A M Hill; A M J Bull; R J Dallalana; A L Wallace; G R Johnson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2007-04-13       Impact factor: 4.342

Review 4.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

5.  Upper limb motion analysis in children with hemiplegic cerebral palsy: proximal kinematic changes after distal botulinum toxin or surgical treatments.

Authors:  Frank Fitoussi; Amadou Diop; Nathalie Maurel; El Mostefa Laasel; Brice Ilharreborde; Georges François Penneçot
Journal:  J Child Orthop       Date:  2011-09-03       Impact factor: 1.548

6.  Upper Limb Multifactorial Movement Analysis in Brachial Plexus Birth Injury.

Authors:  Jorg Bahm
Journal:  J Brachial Plex Peripher Nerve Inj       Date:  2016-03-18

7.  Continuous monitoring of upper-limb activity in a free-living environment: a validation study.

Authors:  A Vega-Gonzalez; B J Bain; P M Dall; M H Granat
Journal:  Med Biol Eng Comput       Date:  2007-07-28       Impact factor: 2.602

8.  Reliability of upper limb and trunk joint angles in healthy adults during activities of daily living.

Authors:  Susannah M Engdahl; Deanna H Gates
Journal:  Gait Posture       Date:  2017-11-08       Impact factor: 2.840

9.  Multi-finger coordination in healthy subjects and stroke patients: a mathematical modelling approach.

Authors:  Ilaria Carpinella; Johanna Jonsdottir; Maurizio Ferrarin
Journal:  J Neuroeng Rehabil       Date:  2011-04-20       Impact factor: 4.262

10.  Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement.

Authors:  Ghady El Khoury; Massimo Penta; Olivier Barbier; Xavier Libouton; Jean-Louis Thonnard; Philippe Lefèvre
Journal:  Sensors (Basel)       Date:  2021-05-07       Impact factor: 3.576

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