Literature DB >> 22301008

Biomechanics of human movement and its clinical applications.

Tung-Wu Lu1, Chu-Fen Chang.   

Abstract

All life forms on earth, including humans, are constantly subjected to the universal force of gravitation, and thus to forces from within and surrounding the body. Through the study of the interaction of these forces and their effects, the form, function and motion of our bodies can be examined and the resulting knowledge applied to promote quality of life. Under gravity and other loads, and controlled by the nervous system, human movement is achieved through a complex and highly coordinated mechanical interaction between bones, muscles, ligaments and joints within the musculoskeletal system. Any injury to, or lesion in, any of the individual elements of the musculoskeletal system will change the mechanical interaction and cause degradation, instability or disability of movement. On the other hand, proper modification, manipulation and control of the mechanical environment can help prevent injury, correct abnormality, and speed healing and rehabilitation. Therefore, understanding the biomechanics and loading of each element during movement using motion analysis is helpful for studying disease etiology, making decisions about treatment, and evaluating treatment effects. In this article, the history and methodology of human movement biomechanics, and the theoretical and experimental methods developed for the study of human movement, are reviewed. Examples of motion analysis of various patient groups, prostheses and orthoses, and sports and exercises, are used to demonstrate the use of biomechanical and stereophotogrammetry-based human motion analysis studies to address clinical issues. It is suggested that further study of the biomechanics of human movement and its clinical applications will benefit from the integration of existing engineering techniques and the continuing development of new technology.
Copyright © 2011. Published by Elsevier B.V.

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Year:  2012        PMID: 22301008     DOI: 10.1016/j.kjms.2011.08.004

Source DB:  PubMed          Journal:  Kaohsiung J Med Sci        ISSN: 1607-551X            Impact factor:   2.744


  12 in total

1.  Corneal biomechanics in different age groups.

Authors:  Ahmed Abdel Karim El Massry; Amr Ahmed Said; Ihab Mohamed Osman; Amr Saad Bessa; Mohammed Ahmed Elmasry; Eman Nabil Elsayed; Nader Hussein Lotfy Bayoumi
Journal:  Int Ophthalmol       Date:  2020-01-08       Impact factor: 2.031

Review 2.  Effects of and Response to Mechanical Loading on the Knee.

Authors:  David S Logerstedt; Jay R Ebert; Toran D MacLeod; Bryan C Heiderscheit; Tim J Gabbett; Brian J Eckenrode
Journal:  Sports Med       Date:  2021-10-20       Impact factor: 11.136

Review 3.  Biomechanics of the Upper Limbs: A Review in the Sports Combat Ambit Highlighting Wearable Sensors.

Authors:  Andrés Blanco Ortega; Jhonatan Isidro Godoy; Dariusz Slawomir Szwedowicz Wasik; Eladio Martínez Rayón; Claudia Cortés García; Héctor Ramón Azcaray Rivera; Fabio Abel Gómez Becerra
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

4.  Robotic Rehabilitation in Spinal Cord Injury: A Pilot Study on End-Effectors and Neurophysiological Outcomes.

Authors:  Rocco Salvatore Calabrò; Serena Filoni; Luana Billeri; Tina Balletta; Antonino Cannavò; Angela Militi; Demetrio Milardi; Loris Pignolo; Antonino Naro
Journal:  Ann Biomed Eng       Date:  2020-09-11       Impact factor: 3.934

5.  Differences in the Glenohumeral Joint before and after Unilateral Breast Cancer Surgery: Motion Capture Analysis.

Authors:  Silvia Beatríz García-González; María Raquel Huerta-Franco; Israel Miguel-Andrés; José de Jesús Mayagoitia-Vázquez; Miguel León-Rodríguez; Karla Barrera-Beltrán; Gilberto Espinoza-Macías
Journal:  Healthcare (Basel)       Date:  2022-04-11

6.  How Fast Is Your Body Motion? Determining a Sufficient Frame Rate for an Optical Motion Tracking System Using Passive Markers.

Authors:  Min-Ho Song; Rolf Inge Godøy
Journal:  PLoS One       Date:  2016-03-11       Impact factor: 3.240

7.  A Simple Algorithm for Assimilating Marker-Based Motion Capture Data During Periodic Human Movement Into Models of Multi-Rigid-Body Systems.

Authors:  Yasuyuki Suzuki; Takuya Inoue; Taishin Nomura
Journal:  Front Bioeng Biotechnol       Date:  2018-10-18

8.  Stochastic-Biomechanic Modeling and Recognition of Human Movement Primitives, in Industry, Using Wearables.

Authors:  Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris; Dimitrios Menychtas; Alina Glushkova
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

9.  A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study.

Authors:  Riasat Islam; Mohamed Bennasar; Kevin Nicholas; Kate Button; Simon Holland; Paul Mulholland; Blaine Price; Mohammad Al-Amri
Journal:  JMIR Mhealth Uhealth       Date:  2020-06-16       Impact factor: 4.773

10.  Validity and Reliability of the Insole3 Instrumented Shoe Insole for Ground Reaction Force Measurement during Walking and Running.

Authors:  Leora A Cramer; Markus A Wimmer; Philip Malloy; Joan A O'Keefe; Christopher B Knowlton; Christopher Ferrigno
Journal:  Sensors (Basel)       Date:  2022-03-11       Impact factor: 3.576

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