A new approach to determine the hip rotation profile from clinical gait analysis data

Baker, Richard; Finney, L; Orr, John

doi:10.1016/s0167-9457(99)00027-5

Cited by 98 publications

(97 citation statements)

References 5 publications

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“…20 Wear measurements were not completed on another six patients due to missing X-rays. Thus, 153 hip replacements were available for analysis.…”

Section: Resultsmentioning

confidence: 99%

The influence of wear paths produced by hip replacement patients during normal walking on wear rates

Bennett¹,

Humphreys²,

O’Brien³

et al. 2008

Journal Orthopaedic Research

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Variation in wear paths is known to greatly affect wear rates in vitro, with multidirectional paths producing much greater wear than unidirectional paths. This study investigated the relationship between multidirectional motion at the hip joint, as measured by aspect ratio, sliding distance, and wear rate for 164 hip replacements. Kinematic input from three-dimensional gait analysis was used to determine the wear paths. Activity cycles were determined for a subgroup of 100 patients using a pedometer study, and the relationship between annual sliding distance and wear rate was analyzed. Poor correlations were found between both aspect ratio and sliding distance and wear rate for the larger group and between annual sliding distance and wear rate for the subgroup. However, patients who experienced a wear rate <0.08 mm/year showed a strong positive correlation between the combination of sliding distance, activity levels, and aspect ratio and wear rate (adjusted r 2 ¼ 55.4%). This group may represent those patients who experience conditions that most closely match those that prevail in simulator and laboratory tests. Although the shape of wear paths, their sliding distance, and the number of articulation cycles at the hip joint affect wear rates in simulator studies, this relationship was not seen in this clinical study. Other factors such as lubrication, loading conditions and roughness of the femoral head may influence the wear rate. ß

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“…20 Wear measurements were not completed on another six patients due to missing X-rays. Thus, 153 hip replacements were available for analysis.…”

Section: Resultsmentioning

confidence: 99%

The influence of wear paths produced by hip replacement patients during normal walking on wear rates

Bennett¹,

Humphreys²,

O’Brien³

et al. 2008

Journal Orthopaedic Research

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“…Hip rotation is known to be highly dependent on the placement of knee alignment devices [12,13], foot progression will be dependent on the alignment of forefoot and heel markers during the static calibration [4]. The process by which marker data is incorporated into the calculation of kinetic variables is considerably more complex than for the kinematic data and none of the offset percentages is particularly high.…”

Section: Discussionmentioning

confidence: 99%

The comparison of normative reference data from different gait analysis services

et al. 2014

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Comparison of normative data between gait analysis services offers the potential to harmonise data collection protocols. This paper presents a method for such a comparison based on an assumption that the root mean square difference from the inter-service mean is a reflection of systematic differences in protocols and that the average standard deviation includes a component attributable to within-centre measurement variability.Substantial normative datasets from two highly respected clinical services were compared. The RMS difference for the difference from the inter-centre mean was less than 1.7° for all kinematic variables apart from hip rotation (2.9°) and foot progression (2.1°), less than 0.1Nm/kg for all joint moments and than 0.21W/kg for all joint powers. The two centres showed very similar normative standard deviations.The data demonstrates a high degree of consistency between data from two highly regarded gait analysis services and establishes a baseline against which other services can assess their performance. An electronic appendix includes data to facilitate this comparison. THE COMPARISON OF NORMATIVE REFERENCE DATA FROM DIFFERENT GAIT ANALYSIS SERVICES ABSTRACTComparison of normative data between gait analysis services offers the potential to harmonise data collection protocols. This paper presents a method for such a comparison based on an assumption that the root mean square difference from the inter-service mean is a reflection of systematic differences in protocols and that the average standard deviation includes a component attributable to within-centre measurement variability.Substantial normative datasets from two highly respected clinical services were compared.The RMS difference for the difference from the inter-centre mean was less than 1.7° for all kinematic variables apart from hip rotation (2.9°) and foot progression (2.1°), less than 0.1Nm/kg for all joint moments and than 0.21W/kg for all joint powers. The two centres showed very similar normative standard deviations.The data demonstrates a high degree of consistency between data from two highly regarded gait analysis services and establishes a baseline against which other services can assess theirperformance. An electronic appendix includes data to facilitate this comparison.

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“…Dynamic trials were processed using the PluginGait lower body model, with gait cycle events manually identified and correction of thigh marker position where required [11]. Up to 5 barefoot walking trials were processed, with fewer trials used if the patient was unable to complete 5 trials, due to reasons such as fatigue or pain.…”

Section: Assessment Of Gait Impairmentmentioning

confidence: 99%

Selective motor control correlates with gait abnormality in children with cerebral palsy

et al. 2017

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A new approach to determine the hip rotation profile from clinical gait analysis data

Cited by 98 publications

References 5 publications

The influence of wear paths produced by hip replacement patients during normal walking on wear rates

The influence of wear paths produced by hip replacement patients during normal walking on wear rates

The comparison of normative reference data from different gait analysis services

Selective motor control correlates with gait abnormality in children with cerebral palsy

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