Quantification of human motion: gait analysis—benefits and limitations to its application to clinical problems

Simon, Sheldon R.

doi:10.1016/j.jbiomech.2004.02.047

Cited by 435 publications

(266 citation statements)

References 64 publications

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“…Crucially, this approach could be achieved using only a motion capture system and force platform. As such, pressure mats and any other measurement devices not typically employed as part of a standard gait analysis protocol would not be required (Simon 2004;Cappozzo et al 2005).…”

Section: Experimental Set-upmentioning

confidence: 99%

“…Instrumented footwear capable of measuring footwear sub-area loading has also been described (Schepers et al 2007;Liu et al 2014). Whilst promising results have been reported for each of these methods, all require a pressure mat or alternative custom-made device not typically employed as part of a standard gait analysis protocol (Simon 2004).…”

Section: Introductionmentioning

confidence: 99%

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Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

Hannah

Sawacha

Guiotto

et al. 2016

International Biomechanics

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Kinetic analysis of human motion with a multi-segment musculoskeletal foot model requires the distribution of loading applied to the modeled foot segments to be determined. This work thus examines the existence of any correlation between intersegmental foot kinematics, foot morphology, and the distribution of vertical loading in a multi-segment foot model. Gait analysis trials were performed by 20 healthy subjects at a self-selected speed with intersegmental foot joint angles and the distribution of vertical loading measured for a multi-segment foot model. A statistical relationship between the sagittal plane foot kinematics and loads applied to each foot sub-area was sought using multiple regression analyses. The sub-segmental loading of the normal and abnormal morphological groups was also compared. No meaningful relationships between sagittal plane foot kinematics and sub-segment foot loading were found (max. R 2 = 0.36). Statistically significant relationships between foot morphology classification and sub-area foot loading were however identified, particularly for feet exhibiting hallux valgus. Significant variation in intersubject foot sub-segmental loading indicates that an appropriate technique for determining this load distribution must be determined before effective kinetic analyses are performed with multisegment musculoskeletal foot models. The results of this study suggest that foot morphology is a better indicator of sub-area loading than sagittal plane kinematics and warrants further investigation.

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Section: Experimental Set-upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

Hannah

Sawacha

Guiotto

et al. 2016

International Biomechanics

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show abstract

“…In other words, from a podiatrics point of view, foot functions as a shock absorber, a mobile adapter and finally a rigid lever (Curran, 2005). Nowadays, the need for the measurement of human motion parameters is getting higher due to the increase in the number of fields requiring it, especially numerous medical specializations (Simon, 2004), activity of daily living (ADL) assesment and sports (Billing et al,2006;Aminian & Najafi, 2004). In medical field, the use of gait analysis encompasses the tests for central nervous disorders, locomotor disorders, rheumatology, orthopedics, endocrinology and neurology (Simon, 2004).…”

Section: Trends In Human Motion Measurementmentioning

confidence: 99%

MEMS Biomedical Sensor for Gait Analysis

Wahab¹,

Bakar²

2011

Biomedical Engineering, Trends in Electronics, Communications and Software

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“…However, these requirements imply spending many hours analyzing the collected raw data by trained personnel. Moreover, the difficulty to find new ways of linking information in complex locomotion disorders such as PD through traditionally used algorithms hinders the task of defining more precisely the underlying cause of this disorder and its effect on locomotor activity (Simon, 2004).…”

Section: Introductionmentioning

confidence: 99%

Application of Kohonen maps to kinetic analysis of human gait

Rodrigo¹,

Lescano²,

Rodrigo³

2012

RBEB

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In recent years the use of artificial neural networks for classification and analysis of kinematic and kinetic characteristics of human locomotion has greatly increased. This happens in an attempt to overcome the limitations of traditional dynamic analysis and to find new clinical indicators for interpreting quick and objectively the large amount of information obtained in a gait lab. One of the most widely used neural networks for human gait analysis is the self-organizing or Kohonen map, based on unsupervised learning without prior definition of the formed natural groups. Among the advantages of using this type of neural network is the data dimensionality reduction, with minimal loss of information content, and the grouping of them in function of their similarities. Taking into account this, in this work an application case of a Kohonen map for clustering of locomotion kinetic characteristics in normal and Parkinson's disease individuals is presented. The results indicate that the groups identified by the map are consistent with the classification carried out by experts in function of traditional gait dynamic analysis, showing the potential of this technique for distinguishing between a population of individuals with normal gait and with gait disorders of different etiology.Keywords Human gait, Parkinson´s disease, Artificial neural network, Clustering. Aplicação de mapas de Kohonen à análise cinética da marcha humana Resumo Nos últimos anos, tem aumentado significativamente o uso de redes neurais artificiais para a classificação e análise cinemática e cinética da marcha humana, em uma tentativa de superar as limitações da análise dinâmica tradicional e de encontrar novos indicadores clínicos para interpretar

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Quantification of human motion: gait analysis—benefits and limitations to its application to clinical problems

Cited by 435 publications

References 64 publications

Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

MEMS Biomedical Sensor for Gait Analysis

Application of Kohonen maps to kinetic analysis of human gait

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