Proposal of a Method Supporting the Interpretation of Gait Analysis Kinematic Data

Daniele Coraci, Marco Paoloni, Massimiliano Mangone, Chiara Iacovelli, Francesco Ruggeri, Valter Santilli, Luca Padua

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Computed gait analysis is a valid tool able to assess human walking. The joint angle variation during the cycle consists in a function. The derivation process, producing angular velocity and acceleration, may reveal and quantify the small angle variations. This approach may support physician’s interpretation of the joint movements. We would like to propose a calculation, combining the data from angular velocity and angular acceleration, to obtain a graph showing some features of joint behavior. We compared the results among a healthy subject, a coxarthrosis patient and a stroke patient. The built graph clearly shows the direction changes of the joint movements and the differences between the two sides and quantifies the acceleration/deceleration of a joint. The proposed approach is a mathematical artifice, which amplifies the information contained in the usual angle graphs and possibly opens the doors to more specific rehabilitation approaches.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing AG
Pages819-823
Number of pages5
DOIs
Publication statusPublished - Jan 1 2019

Publication series

NameBiosystems and Biorobotics
Volume21
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

Cite this

Coraci, D., Paoloni, M., Mangone, M., Iacovelli, C., Ruggeri, F., Santilli, V., & Padua, L. (2019). Proposal of a Method Supporting the Interpretation of Gait Analysis Kinematic Data. In Biosystems and Biorobotics (pp. 819-823). (Biosystems and Biorobotics; Vol. 21). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-01845-0_164