Correcting lower limb segment axis misalignment in gait analysis: A simple geometrical method

Naaïm, Alexandre; Bonnefoy‐Mazure, Alice; Armand, Stéphane; Dumas, Raphaël

doi:10.1016/j.gaitpost.2019.05.013

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…Optical gait measuring devices are the most precise and costly kinematic gait measurement tools. Electromyography (EMG) 3,[32][33][34][35] , force platform 3,6,11,[26][27][28][30][31][32][33][36][37][38][39][40] , instrumented treadmill 10,24,41 , computerised carpet 42,43 , capacitive pressure distribution platform 44 , and electronic walkway 45 are among the techniques used for force measurement, according to the literature reviewed. Advanced gait analysis techniques are being developed once again, this time employing individual sensors and customised firmware.…”

Section: A Brief Of Gait Analysis Methodsmentioning

confidence: 99%

WITHDRAWN: A Systemtic Review on Gait Measurement Techniques Using Prisma 2009

Rathore

2022

Preprint

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Academics and prosthetics are interested in gait evaluation since it is a highly focused research field. There is a lot of literature in this field because it is a popular diagnostic tool for measuring abnormalities and the beginning of musculoskeletal illnesses. Although there are several gait measurement Techniques (GMT) for motion analysis in the literature, there are only a few studies that indicate the comparative analysis and applicability of different methodologies. The goal of this work is to give a useful recapitulation of various gait assessment methods and to investigate the relative prevalence of various GMT based on several researchers' applications. The findings of a comprehensive review of gait measurement methods utilising the PRISMA methodology are summarised in this publication. A total of 53 research articles published between 1989 and 2021 were considered for critical review. The categories of gait measurement systems were compared and ranked using the Analytic Hierarchy Process, based on particular criteria (AHP). The review helps to summarise many areas of gait analysis, including task kinds, gait characteristics, and gait measurement techniques. The study compares gait assessment methods using a specially created capacity index and gives appropriate mappings between these aspects. It also includes helpful advice for choosing gait systems depending on the criteria.

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Section: A Brief Of Gait Analysis Methodsmentioning

confidence: 99%

WITHDRAWN: A Systemtic Review on Gait Measurement Techniques Using Prisma 2009

Rathore

2022

Preprint

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“…Various optimisation techniques were proposed in the past to reduce the impact of marker misplacement on the output kinematics [26][27][28][29][30]. Those methods were observed to reduce the effect of lack of marker placement precision and could be tested as a complement of the CGM in order to reduce the sensibility of this biomechanical model to marker misplacement [30].…”

Section: Plos Onementioning

confidence: 99%

Impact of knee marker misplacement on gait kinematics of children with cerebral palsy using the Conventional Gait Model—A sensitivity study

et al. 2020

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Clinical gait analysis is widely used in clinical routine to assess the function of patients with motor disorders. The proper assessment of the patient's function relies greatly on the repeatability between the measurements. Marker misplacement has been reported as the largest source of variability between measurements and its impact on kinematics is not fully understood. Thus, the purpose of this study was: 1) to evaluate the impact of the misplacement of the lateral femoral epicondyle marker on lower limb kinematics, and 2) evaluate if such impact can be predicted. The kinematic data of 10 children with cerebral palsy and 10 aged-match typical developing children were included. The lateral femoral epicondyle marker was virtually misplaced around its measured position at different magnitudes and directions. The outcome to represent the impact of each marker misplacement on the lower limb was the root mean square deviations between the resultant kinematics from each simulated misplacement and the originally calculated kinematics. Correlation and regression equations were estimated between the root mean square deviation and the magnitude of the misplacement expressed in percentage of leg length. Results indicated that the lowerlimb kinematics is highly sensitive to the lateral femoral epicondyle marker misplacement in the anterior-posterior direction. The joint angles most impacted by the anterior-posterior misplacement were the hip internal-external rotation (5.3˚per 10 mm), the ankle internalexternal rotation (4.4˚per 10 mm) and the knee flexion-extension (4.2˚per 10 mm). Finally, it was observed that the lower the leg length, the higher the impact of misplacement on kinematics. This impact was predicted by regression equations using the magnitude of misplacement expressed in percentage of leg length. An error below 5˚on all joints requires a marker placement repeatability under 1.2% of the leg length. In conclusion, the placement of the lateral femoral epicondyle marker in the antero-posterior direction plays a crucial role on the reliability of gait measurements with the Conventional Gait Model.

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“…Moreover, visual inspection of the simulator versus IMU kinematics (especially the first two columns of Figure 3 , Figure 4 and Figure 5 ), suggest a correlation between the magnitude of flexion angles and errors in ab/adduction. This association is indicative of cross-talk, which describes how differences in knee mediolateral axis alignment can lead to an artificial increase in the amplitude of ab/adduction angles [ 33 ], and additionally propagate to affect int/external rotation angles. Subsequent work should therefore involve a more in-depth assessment of the accuracy of the orientation of the joint (flexion/extension) axis identified by the inertial data, as compared to that defined by the simulator.…”

Section: Discussionmentioning

confidence: 99%

A Framework for Analytical Validation of Inertial-Sensor-Based Knee Kinematics Using a Six-Degrees-of-Freedom Joint Simulator

Vásquez

Maas

List

et al. 2022

Sensors

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The success of kinematic analysis that relies on inertial measurement units (IMUs) heavily depends on the performance of the underlying algorithms. Quantifying the level of uncertainty associated with the models and approximations implemented within these algorithms, without the complication of soft-tissue artefact, is therefore critical. To this end, this study aimed to assess the rotational errors associated with controlled movements. Here, data of six total knee arthroplasty patients from a previously published fluoroscopy study were used to simulate realistic kinematics of daily activities using IMUs mounted to a six-degrees-of-freedom joint simulator. A model-based method involving extended Kalman filtering to derive rotational kinematics from inertial measurements was tested and compared against the ground truth simulator values. The algorithm demonstrated excellent accuracy (root-mean-square error ≤0.9°, maximum absolute error ≤3.2°) in estimating three-dimensional rotational knee kinematics during level walking. Although maximum absolute errors linked to stair descent and sit-to-stand-to-sit rose to 5.2° and 10.8°, respectively, root-mean-square errors peaked at 1.9° and 7.5°. This study hereby describes an accurate framework for evaluating the suitability of the underlying kinematic models and assumptions of an IMU-based motion analysis system, facilitating the future validation of analogous tools.

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Correcting lower limb segment axis misalignment in gait analysis: A simple geometrical method

Abstract: To cite this version:Alexandre Naaim, Alice Bonnefoy-Mazure, Stéphane Armand, Raphaël Dumas. Correcting lower limb segment axis misalignment in gait analysis: A simple geometrical method. Gait and Posture, Elsevier, 2019, 72, pp.

Cited by 5 publications

References 27 publications

WITHDRAWN: A Systemtic Review on Gait Measurement Techniques Using Prisma 2009

WITHDRAWN: A Systemtic Review on Gait Measurement Techniques Using Prisma 2009

Impact of knee marker misplacement on gait kinematics of children with cerebral palsy using the Conventional Gait Model—A sensitivity study

A Framework for Analytical Validation of Inertial-Sensor-Based Knee Kinematics Using a Six-Degrees-of-Freedom Joint Simulator

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