Repeatability of skin-markers based kinematic measures from a multi-segment foot model in walking and running

Matias, Alessandra B.; Caravaggi, Paolo; Leardini, Alberto; Taddei, Ulisses T.; Ortolani, Maurizio; Sacco, Isabel C. N.

doi:10.1016/j.jbiomech.2020.109983

Cited by 6 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite these outliers, the median intra- and inter-tester variability over all kinematic temporal patterns of AFM (2.2[0.9°] and 3.1[2.1°]) is still lower or similar to the values reported in repeatability studies of other MFMs. In healthy feet, intra-tester variability values averaged over all angles were reported between 3.9°-4.6° for RFM [ 20 , 21 ] and 3.0° for the mSHCG foot model [ 58 ]. The average inter-tester variability was reported to be between 5.4–7.4° for RFM [ 20 – 22 ] and 3.7 o for mSHCG [ 58 ].…”

Section: Discussionmentioning

confidence: 99%

“…These models have been of great value for the scientific community and clinical gait laboratories to provide insight into individual foot kinematics during gait. The repeatability of MFM kinematics has been thoroughly investigated in both healthy and pathological feet [14,[17][18][19][20][21][22]. However, validation studies of MFMs are limited, as multiple review papers pointed out [9,10,13,23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Amsterdam Foot Model: a clinically informed multi‐segment foot model developed to minimize measurement errors in foot kinematics

Schallig

Noort

Piening

et al. 2022

Journal of Foot and Ankle Research

View full text Add to dashboard Cite

Background Foot and ankle joint kinematics are measured during clinical gait analyses with marker-based multi-segment foot models. To improve on existing models, measurement errors due to soft tissue artifacts (STAs) and marker misplacements should be reduced. Therefore, the aim of this study is to define a clinically informed, universally applicable multi-segment foot model, which is developed to minimize these measurement errors. Methods The Amsterdam foot model (AFM) is a follow-up of existing multi-segment foot models. It was developed by consulting a clinical expert panel and optimizing marker locations and segment definitions to minimize measurement errors. Evaluation of the model was performed in three steps. First, kinematic errors due to STAs were evaluated and compared to two frequently used foot models, i.e. the Oxford and Rizzoli foot models (OFM, RFM). Previously collected computed tomography data was used of 15 asymptomatic feet with markers attached, to determine the joint angles with and without STAs taken into account. Second, the sensitivity to marker misplacements was determined for AFM and compared to OFM and RFM using static standing trials of 19 asymptomatic subjects in which each marker was virtually replaced in multiple directions. Third, a preliminary inter- and intra-tester repeatability analysis was performed by acquiring 3D gait analysis data of 15 healthy subjects, who were equipped by two testers for two sessions. Repeatability of all kinematic parameters was assessed through analysis of the standard deviation (σ) and standard error of measurement (SEM). Results The AFM was defined and all calculation methods were provided. Errors in joint angles due to STAs were in general similar or smaller in AFM (≤2.9°) compared to OFM (≤4.0°) and RFM (≤6.7°). AFM was also more robust to marker misplacement than OFM and RFM, as a large sensitivity of kinematic parameters to marker misplacement (i.e. > 1.0°/mm) was found only two times for AFM as opposed to six times for OFM and five times for RFM. The average intra-tester repeatability of AFM angles was σ:2.2[0.9°], SEM:3.3 ± 0.9° and the inter-tester repeatability was σ:3.1[2.1°], SEM:5.2 ± 2.3°. Conclusions Measurement errors of AFM are smaller compared to two widely-used multi-segment foot models. This qualifies AFM as a follow-up to existing foot models, which should be evaluated further in a range of clinical application areas.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Amsterdam Foot Model: a clinically informed multi‐segment foot model developed to minimize measurement errors in foot kinematics

Schallig

Noort

Piening

et al. 2022

Journal of Foot and Ankle Research

View full text Add to dashboard Cite

show abstract

“…The results of this study should be interpreted considering some limitations. While the inter-trial variability of foot joint kinematics in gait using the Rizzoli Foot Model was shown to be high (about 1 deg), with slightly lower inter-session variability (about 4 deg) [44,45], it should be highlighted that accuracy of skin marker-based measurements can be affected by large errors due to skin-motion artefacts. This error, albeit difficult to quantify, can be considered consistent across subjects performing the same task and instrumented by the same experienced examiner.…”

Section: Discussionmentioning

confidence: 94%

The Effect of Neuropathy and Diabetes Type on Multisegment Foot Kinematics: A Cohort Study on 70 Participants with Diabetes

Caravaggi

Giacomozzi²,

Lullini

et al. 2021

Applied Sciences

Self Cite

View full text Add to dashboard Cite

While lower limb biomechanics of people with diabetes are well described, the effects of diabetes type and of peripheral neuropathy on foot joint kinematics have not been addressed in depth. A total of 70 patients with type 1 (n = 25) and type 2 (n = 45) diabetes mellitus, with and without peripheral neuropathy, underwent functional evaluation via gait analysis using an established multisegment foot kinematic model. ANCOVA was performed to assess differences in foot joints’ range of motion (ROM) between groups with diabetes and a control group by accounting for the effects of age, body mass index (BMI) and normalized walking speed. Statistical parametric mapping was used to assess differences in temporal patterns of foot joint motion across normalized gait cycle. Small but significant correlations were found between age, BMI, speed and foot joints' ROM. Regardless of diabetes type and presence of neuropathy, all subgroups with diabetes showed limited ROM at the midtarsal and tarsometatarsal joints. Increased midtarsal joint dorsiflexion and adduction was associated with increased tarsometatarsal joint plantarflexion. After accounting for the effect of covariates, diabetes is associated with reduced ROM and to alterations of the kinematic patterns, especially at the midtarsal and tarsometatarsal joints, irrespective of type and neuropathy.

show abstract

“…Eventually, “SD Average” was computed as the Average of the SD during the gait cycle across trials, which were pooled as follows: inter-trial, across 14 groups (1 examiner * 14 subjects * 1 session). The latter value, determined according to [ 23 , 24 ], had the same unit of measure of the referenced parameter and characterized the inter-subject repeatability across trials of each kinematic parameter. The intra-subject repeatability of the kinematic parameters was assessed with the Coefficient of Variation (CV), that is, the ratio between the SD and the mean value of the reciprocal of the Excursion Range area (area within minimum and maximum of the Excursion Range) of each kinematic parameter.…”

Section: Methodsmentioning

confidence: 99%

Kinematic Evaluation of the Sagittal Posture during Walking in Healthy Subjects by 3D Motion Analysis Using DB-Total Protocol

Blasiis

Fullin

Sansone

et al. 2022

JFMK

View full text Add to dashboard Cite

Posture can be evaluated by clinical and instrumental methods. Three-dimensional motion analysis is the gold standard for the static and dynamic postural assessment. Conventional stereophotogrammetric protocols are used to assess the posture of pelvis, hip, knee, ankle, trunk (considered as a single segment) and rarely head and upper limbs during walking. A few studies also analyzed the multi-segmental trunk and whole-body kinematics. Aim of our study was to evaluate the sagittal spine and the whole-body during walking in healthy subjects by 3D motion analysis using a new marker set. Fourteen healthy subjects were assessed by 3D-Stereophotogrammetry using the DB-Total protocol. Excursion Range, Absolute Excursion Range, Average, intra-subject Coefficient of Variation (CV) and inter-subject Standard Deviation Average (SD Average) of eighteen new kinematic parameters related to sagittal spine and whole-body posture were calculated. The analysis of the DB-Total parameters showed a high intra-subject (CV < 50%) and a high inter-subject (SD Average < 1) repeatability for the most of them. Kinematic curves and new additional values were reported. The present study introduced new postural values characterizing the sagittal spinal and whole-body alignment of healthy subjects during walking. DB-Total parameters may be useful for understanding multi-segmental body biomechanics and as a benchmark for pathological patterns.

show abstract

Repeatability of skin-markers based kinematic measures from a multi-segment foot model in walking and running

Cited by 6 publications

References 38 publications

The Amsterdam Foot Model: a clinically informed multi‐segment foot model developed to minimize measurement errors in foot kinematics

The Amsterdam Foot Model: a clinically informed multi‐segment foot model developed to minimize measurement errors in foot kinematics

The Effect of Neuropathy and Diabetes Type on Multisegment Foot Kinematics: A Cohort Study on 70 Participants with Diabetes

Kinematic Evaluation of the Sagittal Posture during Walking in Healthy Subjects by 3D Motion Analysis Using DB-Total Protocol

Contact Info

Product

Resources

About