ArticleFrontiers in neuroscience2023
A public data set of walking full-body kinematics and kinetics in individuals with Parkinson's disease.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Assessment of change in drug-induced parkinsonism in daily-life gait using vision-based machine learning.PLOS digital health · 2026Article
- A comprehensive survey on diagnosis and assessment of Parkinson's disease via plantar pressure analysis.NPJ Parkinson's disease · 2026Article
- Potential for distinguishing the parkinsonian subtype of multiple system atrophy from Parkinson's disease: a three-dimensional gait analysis study.Frontiers in aging neuroscience · 2026Article
- The functional gait deviation index.Journal of applied statistics · 2026Article
- Predicting Freezing of Gait in Parkinson's Disease: A Machine-Learning-Based Approach in ON and OFF Medication States.Journal of clinical medicine · 2025Article
- Machine learning approach to gait analysis for Parkinson's disease detection and severity classification.Frontiers in robotics and AI · 2025Article
- Effects of On- and Off-Medication Periods on Walking Performance in Parkinson's Disease: Insights from Movement Synergies.Digital biomarkersArticle
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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