A public data set of walking full-body kinematics and kinetics in individuals with Parkinson's disease.

Autor:	Shida TKF; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, Brazil., Costa TM; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, Brazil., de Oliveira CEN; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, Brazil.; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., de Castro Treza R; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., Hondo SM; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., Los Angeles E; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., Bernardo C; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, Brazil., Dos Santos de Oliveira L; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., de Jesus Carvalho M; Faculdade de Medicina do ABC, Santo André, Brazil., Coelho DB; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, Brazil.; Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.
Jazyk:	angličtina
Zdroj:	Frontiers in neuroscience [Front Neurosci] 2023 Feb 16; Vol. 17, pp. 992585. Date of Electronic Publication: 2023 Feb 16 (Print Publication: 2023).
DOI:	10.3389/fnins.2023.992585
Abstrakt:	Background: To our knowledge, there is no Parkinson's disease (PD) gait biomechanics data sets available to the public. Objective: This study aimed to create a public data set of 26 idiopathic individuals with PD who walked overground on ON and OFF medication. Materials and Methods: Their 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. Results: All 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). Conclusion: This 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Shida, Costa, de Oliveira, de Castro Treza, Hondo, Los Angeles, Bernardo, dos Santos de Oliveira, de Jesus Carvalho and Coelho.)
Databáze:	MEDLINE
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