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1.
Sci Data ; 9(1): 399, 2022 07 12.
Article in English | MEDLINE | ID: mdl-35821499

ABSTRACT

Clinical gait analysis is a promising approach for quantifying gait deviations and assessing the impairments altering gait in patients with osteoarthritis. There is a lack of consensus on the identification of kinematic outcomes that could be used for the diagnosis and follow up in patients. The proposed dataset has been established on 80 asymptomatic participants and 106 patients with unilateral hip osteoarthritis before and 6 months after arthroplasty. All volunteers walked along a 6 meters straight line at their self-selected speed. Three dimensional trajectories of 35 reflective markers were simultaneously recorded and Plugin Gait Bones, angles, Center of Mass trajectories and ground reaction forces were computed. Gait video recordings, when available, anthropometric and demographic descriptions are also available. A minimum of 10 trials have been made available in the weka file format and C3D file to enhance the use of machine learning algorithms. We aim to share this dataset to facilitate the identification of new movement-related kinematic outcomes for improving the diagnosis and follow up in patients with hip OA.


Subject(s)
Arthroplasty, Replacement, Hip , Osteoarthritis, Hip , Gait , Gait Analysis , Healthy Volunteers , Humans , Osteoarthritis, Hip/rehabilitation , Osteoarthritis, Hip/surgery
2.
Arch Environ Contam Toxicol ; 62(1): 29-41, 2012 Jan.
Article in English | MEDLINE | ID: mdl-21656048

ABSTRACT

Agricultural land use may influence macroinvertebrate communities by way of pesticide contamination associated with agricultural runoff. However, information about the relation between runoff-related pesticides and communities of benthic macroinvertebrates in stormwater wetland that receive agricultural runoff does not currently exist. Here we show changes in macroinvertebrates communities of a stormwater wetland that collects pesticide-contaminated runoff from a vineyard catchment. Sixteen runoff-associated pesticides, including the insecticide flufenoxuron, were continuously quantified at the inlet of the stormwater wetland from April to September (period of pesticide application). In parallel, benthic macroinvertebrate communities, pesticide concentrations, and physicochemical parameters in the wetland were assessed twice a month. Twenty-eight contaminated runoffs ranging from 1.1 to 114 m3 entered the wetland during the study period. Flufenoxuron concentrations in runoff-suspended solids ranged from 1.5 to 18.5 µg kg(-1) and reached 6 µg kg(-1) in the wetland sediments. However, flufenoxuron could not be detected in water. The density, diversity, and abundance of macroinvertebrates largely varied over time. Redundancy and formal concept analyses showed that concentrations of flufenoxuron, vegetation cover, and flow conditions significantly determine the community structures of stormwater wetland macroinvertebrates. This study shows that flow conditions, vegetation cover, and runoff-related pesticides jointly affect communities of benthic macroinvertebrates in stormwater wetlands.


Subject(s)
Environmental Monitoring , Invertebrates/drug effects , Pesticides/adverse effects , Seasons , Water Pollutants, Chemical/adverse effects , Water Pollution, Chemical/adverse effects , Wetlands , Agriculture , Animals , Biodiversity , Cluster Analysis , France , Pesticides/analysis , Population Density , Water Pollutants, Chemical/analysis , Water Pollution, Chemical/analysis
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