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BackgroundTo our knowledge, there is no Parkinson’s disease (PD) gait biomechanics data sets available to the public.ObjectiveThis study aimed to create a public data set of 26 idiopathic individuals with PD who walked overground on ON and OFF medication.Materials and methodsTheir upper extremity, trunk, lower extremity, and pelvis kinematics were measured using a three-dimensional motion-capture system (Raptor-4; Motion Analysis). The external forces were collected using force plates. The results include raw and processed kinematic and kinetic data in c3d and ASCII files in different file formats. In addition, a metadata file containing demographic, anthropometric, and clinical data is provided. The following clinical scales were employed: Unified Parkinson’s disease rating scale motor aspects of experiences of daily living and motor score, Hoehn & Yahr, New Freezing of Gait Questionnaire, Montreal Cognitive Assessment, Mini Balance Evaluation Systems Tests, Fall Efficacy Scale-International–FES-I, Stroop test, and Trail Making Test A and B.ResultsAll data are available at Figshare (https://figshare.com/articles/dataset/A_dataset_of_overground_walking_full-body_kinematics_and_kinetics_in_individuals_with_Parkinson_s_disease/14896881).ConclusionThis is the first public data set containing a three-dimensional full-body gait analysis of individuals with PD under the ON and OFF medication. It is expected to contribute so that different research groups worldwide have access to reference data and a better understanding of the effects of medication on gait.
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This study aimed at analyzing the electromyographic activity (EMG) and cocontraction of torso muscles during exercises with a flexi bar, in two different postures (neutral pelvis and posterior pelvic tilt). 20 young women with no lower back pain took part in the study (ages between 18 and 28 years) and they were recruited from a university population. In order to collect the data, an exercise was performed with a flexi bar being held with both hands. It was perpendicular to the ground and it was oscillating in the sagittal plane. That exercise was conducted in two different pelvis postures (neutral and posterior tilted). The EMG signals were collected bilaterally on the following muscles: internal oblique (IO), rectus abdominals (RA), iliocostalis lumborum (IL) and multifidus (MU). The analysis of variance (ANOVA) of repeated measurements was found to display an interaction between muscles and postures (F=5.18; p=0.003). The activation of IL muscle in the neutral posture was 7.93% higher than in the posteriorly tilted posture (p=0.005), and the activation of IO muscle was 13.62% higher in the posteriorly tilted posture than during the exercise in the neutral posture (p=0.002). According to our results, the performance of the exercise with a posteriorly tilted pelvis increased the activation of IO muscle, whereas IL muscle was found to have a higher activation when the exercise was performed in a neutral posture. Future studies need to be conducted in order to understand the neuromuscular adaptations that are generated by exercises with flexi bars, and their relevance to the prevention and treatment of nonspecific lower back pain.
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TwitterThis data is used for on-going research in the field of Kinesiology. The objective is to develop a novel kinesthetic training method for mastering body flight: the skill of maneuvering in free-fall. Each .dat file contains data recorded at 240 Hz in an experiment (in free-fall or wind tunnel) with subjects possessing different skill levels, as reflected in the file name. The data includes inertial positions of 23 body segments, as well as their positions relative to a parent segment and inertial orientation expressed by quaternions. The data was recorded with the XSens motion tracking suit.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for kinesiology and exercise science in the U.S.
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This spreadsheet provides data concerning body center of mass acceleration, muscle activity, and forces exerted during a suspended lunge under different conditions of stability in high-standard track and field athletes. Also, the spreadsheet shows the Interclass Correlation Coeficient (ICC) values for each dependent variable (acceleration, muscle activity and force) and exercise condition. Besides, the correlations values of each suspended lunge between muscle activity, force and acceleration.
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Dataset contains all search histories and the full data extraction from included studies.
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LL DATA SET OF MANUSCRIPT: EFFECTS OF PHOTOBIOMODULATION THERAPY ON PERFORMANCE IN SUCCESSIVE TIME-TO-EXHAUSTION CYCLING TESTS: A RANDOMIZED DOUBLE-BLINDED PLACEBO-CONTROLLED TRIALFábio Juner Lanferdini, Bruno Manfredini Baroni, Caetano Decian Lazzari, Raphael Luiz Sakugawa,Rodolfo André Dellagrana, Fernando Diefenthaeler, Fabrizio Caputo, and Marco Aurélio VazJournal of Functional Morphology and Kinesiology 2023
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Dataset containing the source data corresponding to figures and tables in the manuscript "Prefrontal stimulation as a tool to disrupt hippocampal and striatal reactivations underlying fast motor memory consolidation", as well as raw behavioral and MEP data and the corresponding analysis scripts.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for kinesiology sport management in the U.S.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for neuromechanical kinesiology in the U.S.
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Dataset containing the raw as well as the subject-level data for the two experiments reported in the manuscript "Sleep does not influence schema-facilitated motor memory consolidation".
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Summary table representing changes (in gray) compared to baseline for the entire dataset (N = 2830), large dataset (N = 187), and small dataset (N = 20) as if a testing disparity was present for sex.
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Demographic information of participants included in the final dataset.
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Expected results compared to sex disparities in a small dataset were conducted using χ2.
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Baseline comparisons between females and males for NHANES body composition measures using the entire identified dataset.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for education exercise science, biomechanics in the U.S.
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for applied sport and exercise science in the U.S.
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BackgroundTo our knowledge, there is no Parkinson’s disease (PD) gait biomechanics data sets available to the public.ObjectiveThis study aimed to create a public data set of 26 idiopathic individuals with PD who walked overground on ON and OFF medication.Materials and methodsTheir upper extremity, trunk, lower extremity, and pelvis kinematics were measured using a three-dimensional motion-capture system (Raptor-4; Motion Analysis). The external forces were collected using force plates. The results include raw and processed kinematic and kinetic data in c3d and ASCII files in different file formats. In addition, a metadata file containing demographic, anthropometric, and clinical data is provided. The following clinical scales were employed: Unified Parkinson’s disease rating scale motor aspects of experiences of daily living and motor score, Hoehn & Yahr, New Freezing of Gait Questionnaire, Montreal Cognitive Assessment, Mini Balance Evaluation Systems Tests, Fall Efficacy Scale-International–FES-I, Stroop test, and Trail Making Test A and B.ResultsAll data are available at Figshare (https://figshare.com/articles/dataset/A_dataset_of_overground_walking_full-body_kinematics_and_kinetics_in_individuals_with_Parkinson_s_disease/14896881).ConclusionThis is the first public data set containing a three-dimensional full-body gait analysis of individuals with PD under the ON and OFF medication. It is expected to contribute so that different research groups worldwide have access to reference data and a better understanding of the effects of medication on gait.