Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping

Timotius I, Canneva F, Minakaki G, Moceri S, Casadei N, Riess O, Winkler J, von Hörsten S, Eskofier B, Klucken J (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

City/Town: UK

Conference Proceedings Title: Measuring Behavior 2018

Event location: Manchester GB

ISBN: 978-1-910029-39-8


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Motor impairment appears as a characteristic of several diseases and injuries. Therefore, tests for analyzing motor dysfunction are widely applied across preclinical models and disease stages. The standard analysis addresses an extensive number of gait parameters which raises complication and often lead to premature parameter pre-selection. The parameter selection process was typically based on the previous research or the expert presumption, which sometimes leaves a question about the importance of the unselected parameters. Instead of manual parameter selection, here we propose a data mining technique using a systematic approach of initial data analysis (IDA) using a cluster heat map for data visualization. We exemplify our approach by applying it to a classical before-intervention-after-intervention design. This IDA is useful especially for exploratory research investigating gait abnormality and has the prospect to be applied in selecting parameters for a multivariate data analysis.

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Timotius, I., Canneva, F., Minakaki, G., Moceri, S., Casadei, N., Riess, O.,... Klucken, J. (2018). Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping. In Robyn Grant, Tom Allen, Andrew Spink (Eds.), Measuring Behavior 2018. Manchester, GB: UK.


Timotius, Ivanna, et al. "Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping." Proceedings of the 11th International Conference on Methods and Techniques in Behavioral Research, Manchester Ed. Robyn Grant, Tom Allen, Andrew Spink, UK, 2018.

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