Literature DB >> 31767371

Gait analysis - Available platforms for outcome assessment.

Isabella Klöpfer-Krämer1, Andreas Brand2, Hannes Wackerle2, Janina Müßig2, Inga Kröger2, Peter Augat2.   

Abstract

Movement or gait analysis has become a viable assessment tool not only used in sports science or basic biomechanical research, but has also expanded to be a very valuable instrument in clinical diagnostics, monitoring functional recovery and musculoskeletal rehabilitation. In this context, this method has long been an integral part solely in neurological disorders such as cerebral palsy. However, in the meantime the benefits have also become apparent in other medical areas, such as foot surgery, orthopaedic technology, or in patients after lower limb amputation. These procedures proved to better understand, objectify and quantify the individual causes of gait and movement disorders in order to optimize patient-specific therapy. Currently we are able to rely on a multitude of available measurement systems. These can either be used in everyday life for simple monitoring of one's own activity or to complement therapeutic approaches in the clinical and scientific environment. The following review highlights the various fields of movement analysis, including markerless motion capture, marker-based analysis, pedobarography and wearable sensors. Each of these areas presents its own field of application and potential usage as well as the advantages and disadvantages arising in this context. The following article will give an overview of the type of measurement technology used, the respective fields of application, and the selected parameters and their interpretation possibilities for each of the areas mentioned.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Activity monitoring; Body worn sensors; Clinical diagnostics; Gait analysis; Movement analysis; Pedobarography; Plantar pressure; Silhouette tracking; Wearables

Mesh:

Year:  2019        PMID: 31767371     DOI: 10.1016/j.injury.2019.11.011

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  11 in total

1.  AI Prediction of Brain Signals for Human Gait Using BCI Device and FBG Based Sensorial Platform for Plantar Pressure Measurements.

Authors:  Asad Muhammad Butt; Hassan Alsaffar; Muhannad Alshareef; Khurram Karim Qureshi
Journal:  Sensors (Basel)       Date:  2022-04-18       Impact factor: 3.847

2.  Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait.

Authors:  Severin Bernhart; Stefan Kranzinger; Alexander Berger; Gerfried Peternell
Journal:  Sensors (Basel)       Date:  2022-04-20       Impact factor: 3.847

3.  Effects of Visual Cue Deprivation Balance Training with Head Control on Balance and Gait Function in Stroke Patients.

Authors:  Seung-Min Nam; Do-Youn Lee
Journal:  Medicina (Kaunas)       Date:  2022-04-30       Impact factor: 2.948

4.  Assessing the accuracy of measuring leg length discrepancy and genu varum/valgum using a markerless motion analysis system.

Authors:  Robert J Hurley; Martin S Davey; Micheal Newell; Aiden Devitt
Journal:  J Orthop       Date:  2021-07-13

5.  Detection of Human Gait Phases Using Textile Pressure Sensors: A Low Cost and Pervasive Approach.

Authors:  Matko Milovic; Gonzalo Farías; Sebastián Fingerhuth; Francisco Pizarro; Gabriel Hermosilla; Daniel Yunge
Journal:  Sensors (Basel)       Date:  2022-04-07       Impact factor: 3.847

6.  Assessment of Gait after Treatment of Tibial Nonunion with the Ilizarov Method.

Authors:  Łukasz Pawik; Felicja Fink-Lwow; Andżelika Pajchert Kozłowska; Łukasz Szelerski; Sławomir Żarek; Radosław Górski; Malwina Pawik; Wiktor Urbanski; Paweł Reichert; Piotr Morasiewicz
Journal:  Int J Environ Res Public Health       Date:  2021-04-16       Impact factor: 3.390

7.  Investigation of Impact of Walking Speed on Forces Acting on a Foot-Ground Unit.

Authors:  Barbara Jasiewicz; Ewa Klimiec; Piotr Guzdek; Grzegorz Kołaszczyński; Jacek Piekarski; Krzysztof Zaraska; Tomasz Potaczek
Journal:  Sensors (Basel)       Date:  2022-04-18       Impact factor: 3.847

8.  Kinematic parameters after tibial nonunion treatment using the Ilizarov method.

Authors:  Łukasz Pawik; Felicja Fink-Lwow; Andżelika Pajchert Kozłowska; Łukasz Szelerski; Radosław Górski; Malwina Pawik; Paweł Reichert; Piotr Morasiewicz
Journal:  BMC Musculoskelet Disord       Date:  2022-07-28       Impact factor: 2.562

9.  Early biomechanical outcome in patients with acetabular fractures treated using the pararectus approach: a gait and stair climb analysis study.

Authors:  Andreas Brand; Christian von Rüden; Carina Probst; Lisa Wenzel; Peter Augat; Mario Perl
Journal:  Eur J Trauma Emerg Surg       Date:  2021-04-09       Impact factor: 3.693

Review 10.  Gait Alterations in Adults after Ankle Fracture: A Systematic Review.

Authors:  Marta Mirando; Corrado Conti; Federica Zeni; Fabio Pedicini; Antonio Nardone; Chiara Pavese
Journal:  Diagnostics (Basel)       Date:  2022-01-14
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