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

doi:10.1049/el.2010.0532

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

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9 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 language	English
Pages (from-to)	1185-1187
Number of pages	3
Journal	Electronics Letters
Volume	46
Issue number	17
DOIs	https://doi.org/10.1049/el.2010.0532
State	Published - Aug 19 2010
Externally published	Yes

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10.1049/el.2010.0532

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title = "Computational methods to detect step events for normal and pathological gait evaluation using accelerometer",

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.",

author = "Lee, {H. K.} and J. You and Cho, {S. P.} and Hwang, {S. J.} and Lee, {D. R.} and Kim, {Y. H.} and Lee, {K. J.}",

year = "2010",

month = aug,

day = "19",

doi = "10.1049/el.2010.0532",

language = "English",

volume = "46",

pages = "1185--1187",

journal = "Electronics Letters",

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AU - Lee, H. K.

AU - You, J.

AU - Cho, S. P.

AU - Hwang, S. J.

AU - Lee, D. R.

AU - Kim, Y. H.

AU - Lee, K. J.

PY - 2010/8/19

Y1 - 2010/8/19

N2 - 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.

AB - 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.

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U2 - 10.1049/el.2010.0532

DO - 10.1049/el.2010.0532

M3 - Article

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SN - 0013-5194

VL - 46

SP - 1185

EP - 1187

JO - Electronics Letters

JF - Electronics Letters

IS - 17

ER -

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

Abstract

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