Repeatability of gait data using a functional hip joint centre and a mean helical knee axis

Besier, Thor F.; Sturnieks, Daina L.; Alderson, Jacqueline; Lloyd, David G.

doi:10.1016/s0021-9290(03)00087-3

Cited by 434 publications

(416 citation statements)

References 23 publications

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“…The three models' mutual ability to track the subject-specific kinematics can only be investigated using more complex experimental studies that establish a gold standard to compare against, such as bone-pin or fluoroscopy experiments. Here, we should again mention that the kinematic errors seen in the Anatomical landmark/Kinematically scaled model are the same as those in traditional gait analysis and a large amount of the literature committed to validation of these methods are directly applicable (Besier et al 2003;Della Croce et al 2005;Pohl et al 2010). For the Linearly scaled model, the same validation studies do not apply and care should be taken using a linearly scaled approach in the cases, where the subject's joint parameters differ in a non-linear manner from the joint parameters of the template geometry.…”

Section: Marker Errorsmentioning

confidence: 94%

“…Della Croce et al (2005) provide an extensive review of the precision and potential pitfalls of anatomical landmark-based methods. The performance of functional methods has also been investigated in the literature although to a lesser extent, since these methods are still evolving (Besier et al 2003;Pohl et al 2010). No studies have reported the accuracy of multi-joint optimisation.…”

Section: Identification Of Joint Parametersmentioning

confidence: 99%

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Scaling of musculoskeletal models from static and dynamic trials

Lund

Andersen

Zee

et al. 2015

International Biomechanics

124

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Subject-specific scaling of cadaver-based musculoskeletal models is important for accurate musculoskeletal analysis within multiple areas such as ergonomics, orthopaedics and occupational health. We present two procedures to scale 'generic' musculoskeletal models to match segment lengths and joint parameters to a specific subject and compare the results to a simpler approach based on linear, segment-wise scaling. By incorporating data from functional and standing reference trials, the new scaling approaches reduce the model sensitivity to assumed model marker positions. For validation, we applied all three scaling methods to an inverse dynamics-based musculoskeletal model and compared predicted knee joint contact forces to those measured with an instrumented prosthesis during gait. Additionally, a Monte Carlo study was used to investigate the sensitivity of the knee joint contact force to random adjustments of the assumed model marker positions (+/− one marker diameter). The model based on linear scaling showed the highest variation in the knee joint contact force of 1.44 body weight (BW) around contra-lateral heel strike, and a variation in root mean square deviation (RMSD) of 0.36 BW. The proposed methods reduced the variation to 1.0 BW (RMSD 0.26 BW) for the anatomical landmark based method and 0.47 BW (RMSD 0.06 BW) for the functional based method. Variation in model predictions due to uncertainty in marker positions is a trait of all marker-based musculoskeletal modelling approaches. The presented methods solve part of this problem and rely less on manual identification of anatomical landmarks in the model. The work represents a step towards a more consistent methodology in musculoskeletal modelling.

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Section: Marker Errorsmentioning

confidence: 94%

Section: Identification Of Joint Parametersmentioning

confidence: 99%

Scaling of musculoskeletal models from static and dynamic trials

Lund

Andersen

Zee

et al. 2015

International Biomechanics

124

View full text Add to dashboard Cite

show abstract

“…AT inclusion criteria included a >3 month history of unilateral mid-portion Achilles tendon pain, a VISA-A score <80/100, with mid-portion pain and thickening identified on palpation. Retro-reflective markers were fixed to the skin of participants according to a customised marker set and model for the lower quadrant (see Figure 1b), set according to an established cluster-based method 12 . This established set-up enabled determination of anatomically-relevant ankle, knee and hip joint axes of rotation and joint centres 12 , and subsequent motion capture was performed using a 14-camera Vicon MX motion analysis system (Vicon, Oxford Metrics, Oxford, UK) operating at 250 Hz.…”

Section: Methodsmentioning

confidence: 99%

“…Kinematic data were filtered using a fourth order Butterworth filter operating at a frequency cutoff of 20 Hz for the marker trajectories and 50 Hz for the ground contact data as determined by residual analysis 13 . All lower limb anatomical and joint coordinates were calculated in accordance with the standards outlined by the International Standards of Biomechanics and have been previously described 12 . Data was exported from Nexus for further analysis using a customised LabVIEW program (National Instruments, Austin, Texas, 2011).…”

Section: Methodsmentioning

confidence: 99%

Achilles tendinopathy alters stretch shortening cycle behaviour during a sub-maximal hopping task

Debenham

Travers

Gibson

et al. 2016

Journal of Science and Medicine in Sport

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ObjectivesTo describe stretch shortening cycle behaviour of the ankle and lower limb in patients with Achilles tendinopathy (AT) and establish differences with healthy volunteers. DesignBetween-subjects case-controlled MethodsFifteen patients with AT (mean age 41.2 ± 12.7 years) and eleven healthy volunteers (CON) (mean age 23.2 ± 6.7 years) performed sub-maximal single-limb hopping on a custom built sledge-jump system. Using 3D motion analysis and surface EMG, temporal kinematic (lower limb stiffness, ankle angle at 80 ms pre-contact, ankle angle at contact, peak ankle angle, ankle stretch amplitude) and EMG measures (onset, offset and peak times relative to contact) were captured. Data between AT and CON were compared statistically using a linear mixed model. ResultsPatients with AT exhibited significantly increased lower limb stiffness when compared to healthy volunteers (p<0.001) and their hopping range was shifted towards a more dorsiflexed position (p<0.001). Furthermore, ankle stretch amplitude was greater in AT compared with healthy volunteers (p<.001). A delay in muscle activity was also observed; soleus onset (p<.001), tibialis anterior peak (p=0.026) and tibialis anterior offset (p<.001) were all delayed in AT compared with CON. ConclusionsThese findings indicate that patients with AT exhibit altered stretch-shortening cycle behaviour during sub-maximal hopping when compared with healthy volunteers. Patients with AT hop with greater lower limb stiffness, in a greater degree of ankle dorsiflexion and have a greater stretch amplitude.Likewise, delayed muscle activity is evident. These findings have implications in terms of informing the understanding of the pathoaetiology and management of AT.3

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“…Seventy two reflective markers were placed on anatomic landmarks to define the head, thorax, upper arms, lower arms, pelvis, upper legs, lower legs, and feet segments according to a full body 6 degree of freedom segmental model (Besier, Sturnieks, Alderson, & Lloyd, 2003). Perceived instability was measured immediately after each trial using a visual analogue scale in which the participants were asked to draw a mark on a 100 mm line, between 0 mm (maximum stability perception) and 100 mm (minimum stability perception).…”

Section: Data Collectionmentioning

confidence: 99%

Effects of increased anterior–posterior voluntary sway frequency on mechanical and perceived postural stability

Lorenzo

Vanrenterghem

2015

Human Movement Science

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Despite a substantial number of studies, the interaction between mechanical indicators of stability and perception of instability remains unclear. The purpose of this study was to determine the effect of sway frequency and verbal restraint on mechanical and perceived postural stability. Fourteen participants underwent a series of standing voluntary anterior-posterior swaying trials at three frequencies (20, 40, and 60 bpm) and two levels of restraint (non restraint and verbally restraint to swaying at the ankle). Repeated measures ANOVA tests revealed greater mechanical stability defined though the margin of stability, and greater horizontal ground reaction forces, while the centre of pressure excursions remained unchanged with increasing frequency. Furthermore, ground reaction forces were greater in the non-restraint condition. Moreover, a tendency toward greater perceived instability with increasing voluntary sway frequency was observed..Our results indicate that variations in sway frequency and verbal restraint resulted in noticeable alterations in mechanical indicators of stability, with no clear effect on perceived instability.

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Repeatability of gait data using a functional hip joint centre and a mean helical knee axis

Cited by 434 publications

References 23 publications

Scaling of musculoskeletal models from static and dynamic trials

Scaling of musculoskeletal models from static and dynamic trials

Achilles tendinopathy alters stretch shortening cycle behaviour during a sub-maximal hopping task

Effects of increased anterior–posterior voluntary sway frequency on mechanical and perceived postural stability

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