ArticleData in brief2020
Spatio-temporal parameters of ataxia gait dataset obtained with the Kinect.
Article in Data in brief, 2020. 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, 15 citations in OpenAlex.
- Digital Motor Biomarkers of Cerebellar Ataxia Using an RGB-Depth Camera-Based Motion Analysis System.Cerebellum (London, England) · 2024Article
- [A gait signal acquisition and parameter characterization method based on foot pressure detection combined with Azure Kinect system].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2023Article
- Upper Body Physical Rehabilitation for Children with Ataxia through IMU-Based Exergame.Journal of clinical medicine · 2022Article
- Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems.Sensors (Basel, Switzerland) · 2022Article
- Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors.Sensors (Basel, Switzerland) · 2021Article
- Kinect V2-Based Gait Analysis for Children with Cerebral Palsy: Validity and Reliability of Spatial Margin of Stability and Spatiotemporal Variables.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ataxic syndromes include several rare, inherited and acquired conditions. One of the main issues is the absence of specific, and sensitive automatic evaluation tools and digital outcome measures to obtain a continuous monitoring of subjects' motor ability. Gait evaluation was performed by Kinect v2 in a cohort of young participant affected by ataxia syndrome. The dataset is composed of the spatio-temporal parameters calculated by the skeleton acquired by the Kinect sensor, by the diagnosis of each participant, and by the total score of the clinical scale SARA. These parameters have been previously validated and corrected as requested by the Bland-Altman test.
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