Gait analysis in the therapeutic environment

Coutts, Fiona

doi:10.1016/s1356-689x(99)80003-4

Cited by 85 publications

(66 citation statements)

References 35 publications

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“…Although clinicians have developed good expertise through many years of practice and training, these observations remain subjective [12]. Principal reason for main, and perhaps sole use of clinician observation as means of gait analysis, is ease of measurement [8,13,14].…”

Section: Introductionmentioning

confidence: 99%

Biomechanical parameters for gait analysis: a systematic review of healthy human gait

Roberts¹,

Mongeon²,

François³

2017

Phys Ther Rehabil

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Background: Modern gait analysis offers a broad variety of biomechanical parameters through which to quantify gait. However, no consensus has yet been established with regards to which biomechanical parameters are most relevant to evaluate during gait analysis in the healthy population. Purpose: The purpose of the current systematic review was to determine the most relevant biomechanical parameters for gait analysis in the healthy adult population. Methods: PubMed, EMBASE and Web of Science databases were searched. Two independent reviewers participated in the article selection and attributed a Level of Evidence score to each article to account for quality based on participant selection, intervention and analysis. A score combining both frequency and number of articles was calculated. Correlations were carried out between the Level of Evidence score, Journal Impact Factor and the frequency of biomechanical parameters. Results: Spatio-temporal parameters were found to be the most often measured biomechanical parameters and reported by the greatest number of articles; walking velocity, cadence and step/stride length appearing to be the most relevant biomechanical parameters for gait analysis in the healthy adult population. No correlation was found between Level of Evidence score and Journal Impact Factor, nor between the frequency of parameters and Level of Evidence score. Conclusion: This systematic review provides recommendations for variables to assess in future gait evaluations in healthy adults.

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Section: Introductionmentioning

confidence: 99%

Biomechanical parameters for gait analysis: a systematic review of healthy human gait

Roberts¹,

Mongeon²,

François³

2017

Phys Ther Rehabil

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“…"Interpretation of biomechanical data is complex, time consuming and not readily understood by most therapists" [3].…”

Section: Limiting Factors To Widespread Use Of Biomechanics In Rehabimentioning

confidence: 99%

Investigating the Use of Visualisations of Biomechanics in Physical Rehabilitation

Loudon

Carse

Macdonald

2011

Communications in Computer and Information Science

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Abstract. Biomechanical analysis can be used to scientifically assess the causes of movement problems, measure progress and validate outcomes. However, the complexity of the data produced and the training required to use the available biomechanical analysis tools prevents the widespread understanding of this form of analysis beyond those with a background in biomechanics. This paper reports on multidisciplinary research, funded by the MRC's LLHW programme, into the generation of three-dimensional, dynamic visualisations of biomechanical data and investigation of their use during functional rehabilitation trials, e.g., post-stroke, knee-joint replacement, and older adult exercise. The research will test the hypothesis that increased understanding of biomechanical concepts and measurements through this method of visualisation by both patients and clinicians will result in better patient outcomes.

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“…Although some OGA methods have been shown valid and reliable, it is generally understood that they are specific to patient groups, subjective, and sensitive to the observer's experience (Toro et al, 2003). In 1999, Coutts (Coutts, 1999) argued that despite its limitations, OGA would never be totally replaced as the default GA method in the clinical environment because of ease of use. Current technological advancements, however, should encourage clinicians to re-evaluate instrumented GA.…”

Section: Introductionmentioning

confidence: 99%

A WEARABLE GAIT ANALYSIS SYSTEM USING INERTIAL SENSORS PART I - Evaluation of Measures of Gait Symmetry and Normality against 3D Kinematic Data

Sant'Anna¹,

Wickström²,

Zügner³

et al. 2012

Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

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A wearable gait analysis system using inertial sensors Part I: Evaluation of measures of gait symmetry and normality against 3D kinematic data. In: BIOSIGNALS 2012 -Proceedings of the International Conference on Bio-Inspired Systems andSignal Abstract: Gait analysis (GA) is an important tool in the assessment of several physical and cognitive conditions. The lack of simple and economically viable quantitative GA systems has hindered the routine clinical use of GA in many areas. As a result, patients may be receiving sub-optimal treatment. The present study introduces and evaluates measures of gait symmetry and gait normality calculated from inertial sensor data. These indices support the creation of mobile, cheap and easy to use quantitative GA systems. The proposed method was compared to measures of symmetry and normality derived from 3D kinematic data. Results show that the proposed method is well correlated to the kinematic analysis in both symmetry (r=0.84, p<0.0001) and normality (r=0.81, p<0.0001). In addition, the proposed indices can be used to classify normal from abnormal gait.

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Gait analysis in the therapeutic environment

Cited by 85 publications

References 35 publications

Biomechanical parameters for gait analysis: a systematic review of healthy human gait

Biomechanical parameters for gait analysis: a systematic review of healthy human gait

Investigating the Use of Visualisations of Biomechanics in Physical Rehabilitation

A WEARABLE GAIT ANALYSIS SYSTEM USING INERTIAL SENSORS PART I - Evaluation of Measures of Gait Symmetry and Normality against 3D Kinematic Data

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