A goniometer-based method for the assessment of gait parameters

E. Maranesi, F. Di Nardo, G. Ghetti, L. Burattini, S. Fioretti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Basic prerequisites for gait analysis are the assessment of spatiooral gait parameters and the analysis of movements within subsequent stride cycles. The aim of the present study is to propose a new method to assess spatiooral gait parameters using only 1-degree-of-freedom electrogoniometers positioned on hip and knee joints. The model validation is performed comparing the model results with those automatically obtained from another gait analysis system: GAITRite. The results underline the model reliability and show that the model could be a valid alternative to the traditional methods that use foot switches, ground reaction forces or accelerometers. These results show that essential spatiooral gait parameters can be determined during overground walking using only two 1-dof electrogoniometers. The method is easy-to-use and does not interfere with regular walking patterns.

Original languageEnglish
Title of host publicationMESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479922802
DOIs
Publication statusPublished - Oct 24 2014
Event10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2014 - Senigallia, Ancona, Italy
Duration: Sep 10 2014Sep 12 2014

Other

Other10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2014
CountryItaly
CitySenigallia, Ancona
Period9/10/149/12/14

Fingerprint

Goniometers
Gait analysis
Accelerometers
Switches

Keywords

  • biomechanics modelling
  • gait analysis
  • spatiooral gait parameters

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Maranesi, E., Di Nardo, F., Ghetti, G., Burattini, L., & Fioretti, S. (2014). A goniometer-based method for the assessment of gait parameters. In MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings [6935539] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MESA.2014.6935539

A goniometer-based method for the assessment of gait parameters. / Maranesi, E.; Di Nardo, F.; Ghetti, G.; Burattini, L.; Fioretti, S.

MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6935539.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Maranesi, E, Di Nardo, F, Ghetti, G, Burattini, L & Fioretti, S 2014, A goniometer-based method for the assessment of gait parameters. in MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings., 6935539, Institute of Electrical and Electronics Engineers Inc., 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2014, Senigallia, Ancona, Italy, 9/10/14. https://doi.org/10.1109/MESA.2014.6935539
Maranesi E, Di Nardo F, Ghetti G, Burattini L, Fioretti S. A goniometer-based method for the assessment of gait parameters. In MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6935539 https://doi.org/10.1109/MESA.2014.6935539
Maranesi, E. ; Di Nardo, F. ; Ghetti, G. ; Burattini, L. ; Fioretti, S. / A goniometer-based method for the assessment of gait parameters. MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014.
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