Computational methods to detect step events for normal and pathological gait evaluation using accelerometer

H. K. Lee, J. You, S. P. Cho, S. J. Hwang, D. R. Lee, Y. H. Kim, K. J. Lee

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The presented study highlights the feasibility and accuracy of novel computational methods based on a morphological filter and a least square acceleration filter to detect step events for evaluating normal and pathological gait parameters using a single accelerometer. This is the first evidence that demonstrates the feasibility and accuracy of the novel accelerometer-based system and methods in both normal and pathological populations.

Original languageEnglish
Pages (from-to)1185-1187
Number of pages3
JournalElectronics Letters
Volume46
Issue number17
DOIs
StatePublished - Aug 19 2010
Externally publishedYes

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