Recovery strategy identification throughout swing phase using kinematic data from the tripped leg

Camila Shirota, Annie Simon, Todd A Kuiken

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

4 Scopus citations

Abstract

Falls are a large concern for individuals with lower limb amputations. Advanced powered prosthetic devices have the potential to quickly intervene after perturbations and help avoid a fall, but active balance recovery mechanisms have yet to be implemented. We investigated the feasibility of a realtime pattern recognition system for identification of trip recovery strategies. We tripped able-bodied subjects multiple times throughout swing phase and investigated the classification of walking, elevating and lowering strategies. Linear discriminant analysis was used throughout swing phase to classify kinematic data from the tripped leg. Window parameters that maximized classification accuracy were chosen from lengths of 50 to 200 ms and increments of 10 to 50 ms. We compared the performance of a single- and a two-stage (trip detection followed by strategy identification) classifier architecture. Optimal window length varied by classification stage, and window increment did not affect accuracy. The two-stage architecture performed significantly better overall, achieving a 92% median (range 88%-96%) accuracy across subjects compared to 88% (84%-96%) with the single-stage architecture. Most of the errors occurred immediately after the trip, with accuracies plateauing within 100 ms. Our results suggest that algorithms using data that can be measured from sensors embedded in robotic assistive devices could be used to trigger active balance restoring strategies following trips throughout swing phase.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6199-6202
Number of pages4
ISBN (Electronic)9781424479290
DOIs
StatePublished - Nov 2 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Publication series

Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

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