Literature DB >> 8695885

Application of biomechanical growth models of the quantitative evaluation of the motor system in children.

M K Lebiedowska1, M Syczewska, K Graff, M Kalinowska.   

Abstract

To evaluate the effectiveness of rehabilitation methods, and to assess the progress of the rehabilitation process in an individual patient, quantitative methods are necessary. The large number of motor system parameters makes the problem of data collection time-consuming and expensive. A quantitative evaluation of the child's motor system is an assessment of a combination of the growth and rehabilitation processes. The aim of the study was to establish methods of differentiation between these two processes. The chosen anthropometric measures, biomechanical parameters of the lower leg segment, maximal voluntary extension and flexion torques of lower leg and chosen gait parameters, were measured in various groups of healthy children 6-18 years old. Mathematical functions were calculated describing these parameters against developmental parameters (body mass, body stature, age). Using the maximal correlation criterion the best growth parameters were established. Normalized databases for these parameters were developed. It is suggested that, using their approach, differentiation between the influences of growth and rehabilitation processes can be achieved, thus eliminating the need for tedious data collection.

Entities:  

Mesh:

Year:  1996        PMID: 8695885     DOI: 10.3109/09638289609166031

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  2 in total

1.  Human body shape index based on an experimentally derived model of human growth.

Authors:  Maria K Lebiedowska; Katharine E Alter; Steven J Stanhope
Journal:  J Pediatr       Date:  2007-10-24       Impact factor: 4.406

2.  The pendulum test as a tool to evaluate passive knee stiffness and viscosity of patients with rheumatoid arthritis.

Authors:  Maria S Valle; Antonino Casabona; Rosaria Sgarlata; Rosaria Garozzo; Maria Vinci; Matteo Cioni
Journal:  BMC Musculoskelet Disord       Date:  2006-11-29       Impact factor: 2.362

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.