Wear paths produced by individual hip-replacement patients— A large-scale, long-term follow-up study

Wear particle accumulation is one of the main contributors to osteolysis and implant failure in hip replacements. Altered kinematics produce significant differences in wear rates of hip replacements in simulator studies due to varying degrees of multidirectional motion. Gait analysis data from 153 hip-replacement patients 10-years post-operation were used to model two- and three-dimensional wear paths for each patient. Wear paths were quantified in two dimensions using aspect ratios and in three dimensions using the surface areas of the wear paths, with wear-path surface area correlating poorly with aspect ratio. The average aspect ratio of the patients wear paths was 3.97 (standard deviation ¼ 1.38), ranging from 2.13 to 10.86. Sixty percent of patients displayed aspect ratios between 2.50 and 3.99. However, 13% of patients displayed wear paths with aspect ratios 45.5, which indicates reduced multidirectional motion. The majority of total hip replacement (THR) patients display gait kinematics which produce multidirectional wear paths, but a significant minority display more linear paths.

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

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 r2?=?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.

2D silhouette and 3D skeletal models for human detection and tracking

In this paper we propose a statistical model for detection and tracking of human silhouette and the corresponding 3D skeletal structure in gait sequences. We follow a point distribution model (PDM) approach using a Principal Component Analysis (PCA). The problem of non-lineal PCA is partially resolved by applying a different PDM depending of pose estimation; frontal, lateral and diagonal, estimated by Fisher's linear discriminant. Additionally, the fitting is carried out by selecting the closest allowable shape from the training set by means of a nearest neighbor classifier. To improve the performance of the model we develop a human gait analysis to take into account temporal dynamic to track the human body. The incorporation of temporal constraints on the model increase reliability and robustness.

Human figure segmentation using independent component analysis

In this paper, we present a Statistical Shape Model for Human Figure Segmentation in gait sequences. Point Distribution Models (PDM) generally use Principal Component analysis (PCA) to describe the main directions of variation in the training set. However, PCA assumes a number of restrictions on the data that do not always hold. In this work, we explore the potential of Independent Component Analysis (ICA) as an alternative shape decomposition to the PDM-based Human Figure Segmentation. The shape model obtained enables accurate estimation of human figures despite segmentation errors in the input silhouettes and has really good convergence qualities.

What do people think about running barefoot/with minimalist footwear? A thematic analysis

Objectives

Barefoot running describes when individuals run without footwear. Minimalist running utilizes shoes aimed to mimic being barefoot. Although these forms of running have become increasingly popular, we still know little about how recreational runners perceive them.
Design

In-depth interviews with eight recreational runners were used to gather information about their running experiences with a focus on barefoot and minimalist running.
Methods

Interviews were analysed using a latent level thematic analysis to identify and interpret themes within the data.
Results

Although participants considered barefoot running to be ‘natural’, they also considered it to be extreme. Minimalist running did not produce such aversive reactions. ‘Support’ reassured against concerns and was seen as central in protecting vulnerable body parts and reducing impact forces, but lacked a common or clear definition. A preference for practical over academic knowledge was found. Anecdotal information was generally trusted, as were running stores with gait assessment, but not health professionals.
Conclusion

People often have inconsistent ideas about barefoot and minimalist running, which are often formed by potentially biased sources, which may lead people to make poor decisions about barefoot and minimalist running. It is important to provide high-quality information to enable better decisions to be made about barefoot and minimalist running.

Statement of contribution

What is already known on this subject?
There is no known work on the psychology behind barefoot and minimalist running. We believe our study is the first qualitative study to have investigated views of this increasingly popular form of running.
What does this study add?
The results suggest that although barefoot running is considered ‘natural’, it is also considered ‘extreme’. Minimalist running, however, did not receive such aversive reactions.
‘Support’ was a common concern among runners. Although ‘support’ reassured against concerns and was seen as central in protecting vulnerable body parts and reducing impact forces, it lacked a common or clear definition.
A preference for practical over academic knowledge was found. Anecdotal information was generally trusted, as were running stores with gait assessment, but not health professionals.