Literature DB >> 24613461

Summary measures for clinical gait analysis: a literature review.

Veronica Cimolin1, Manuela Galli2.   

Abstract

Instrumented 3D-gait analysis (3D-GA) is an important method used to obtain information that is crucial for establishing the level of functional limitation due to pathology, observing its evolution over time and evaluating rehabilitative intervention effects. However, a typical 3D-GA evaluation produces a vast amount of data, and despite its objectivity, its use is complicated, and the data interpretation is difficult. It is even more difficult to obtain an overview on patient cohorts for a comparison. Moreover, there is a growing awareness of the need for a concise index, specifically, a single measure of the 'quality' of a particular gait pattern. Several gait summary measures, which have been used in conjunction with 3D-GA, have been proposed to objectify clinical impression, quantify the degree of gait deviation from normal, stratify the severity of pathology, document the changes in gait patterns over time and evaluate interventions.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait analysis; Locomotion; Outcome; Summary measures

Mesh:

Year:  2014        PMID: 24613461     DOI: 10.1016/j.gaitpost.2014.02.001

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  32 in total

Review 1.  Kinematic Gait Analysis After Primary Total Hip Replacement: A Systematic Review: Gait After Total Hip Replacement: A Systematic Review.

Authors:  Luis Mendiolagoitia; Miguel Ángel Rodríguez; Irene Crespo; Miguel Del Valle; Hugo Olmedillas
Journal:  Indian J Orthop       Date:  2020-04-16       Impact factor: 1.251

2.  Feasibility of a Simplified, Clinically Oriented, Three-dimensional Gait Analysis System for the Gait Evaluation of Stroke Patients.

Authors:  Masahiko Mukaino; Kei Ohtsuka; Kazuhiro Tsuchiyama; Fumihiro Matsuda; Keisuke Inagaki; Junya Yamada; Hiroki Tanikawa; Eiichi Saitoh
Journal:  Prog Rehabil Med       Date:  2016-07-15

3.  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

4.  Gait improvement surgery in ambulatory children with diplegic cerebral palsy.

Authors:  Terje Terjesen; Bjørn Lofterød; Ingrid Skaaret
Journal:  Acta Orthop       Date:  2015-01-30       Impact factor: 3.717

Review 5.  Validity of the Kinect for Gait Assessment: A Focused Review.

Authors:  Shmuel Springer; Galit Yogev Seligmann
Journal:  Sensors (Basel)       Date:  2016-02-04       Impact factor: 3.576

6.  Spared Primary Motor Cortex and The Presence of MEP in Cerebral Palsy Dictate the Responsiveness to tDCS during Gait Training.

Authors:  Luanda A Collange Grecco; Claudia Santos Oliveira; Manuela Galli; Camila Cosmo; Natália de Almeida Carvalho Duarte; Nelci Zanon; Dylan J Edwards; Felipe Fregni
Journal:  Front Hum Neurosci       Date:  2016-07-19       Impact factor: 3.169

7.  The Gait Deviation Index Is Associated with Hip Muscle Strength and Patient-Reported Outcome in Patients with Severe Hip Osteoarthritis-A Cross-Sectional Study.

Authors:  Signe Rosenlund; Anders Holsgaard-Larsen; Søren Overgaard; Carsten Jensen
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

8.  Repeated inhalation of sevoflurane inhibits the information transmission of Purkinje cells and delays motor development via the GABAA receptor ε subunit in neonatal mice.

Authors:  Hong Fang; Ze-Hua Wang; Ying-Jiang Bu; Zhi-Jun Yuan; Guo-Qiang Wang; Yan Guo; Xiao-Yun Cheng; Wen-Jie Qiu
Journal:  Mol Med Rep       Date:  2017-11-03       Impact factor: 2.952

Review 9.  A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System.

Authors:  Steffi L Colyer; Murray Evans; Darren P Cosker; Aki I T Salo
Journal:  Sports Med Open       Date:  2018-06-05

10.  A Wearable Gait Phase Detection System Based on Force Myography Techniques.

Authors:  Xianta Jiang; Kelvin H T Chu; Mahta Khoshnam; Carlo Menon
Journal:  Sensors (Basel)       Date:  2018-04-21       Impact factor: 3.576

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