Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F20%3A00334852" target="_blank" >RIV/68407700:21460/20:00334852 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.bspc.2019.101643" target="_blank" >https://doi.org/10.1016/j.bspc.2019.101643</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.bspc.2019.101643" target="_blank" >10.1016/j.bspc.2019.101643</a>
Alternative languages
Result language
angličtina
Original language name
Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use
Original language description
Gait symmetry has been shown to be a relevant measure for differentiating between normal and pathological gait. Although a number of symmetry methods exist, it is not clear which of these methods should be used as they have been developed using data collected from varying experimental protocols. This paper presents a comparison of state-of-the-art waveform-based symmetry methods and tests them on walking data collected from different environments. Acceleration signals collected from the ankle are used to analyse symmetry methods under different signal circumstances, such as phase shift, waveform shape difference, signal length (i.e. number of gait cycles) and gait initiation phase. The cyclogram based method is invariant to signal phase shifts, signal length and the gait initiation phase. The trend symmetry method is not affected by signal scaling and the gait initiation phase but is affected by signal length depending on the environment. Similar to the trend method, the cross-correlation symmetry method is not responsive to signal scaling and the gait initiation phase. The results of the symbolic method are not influenced by signal scaling, gait initiation and depending on the environment by the signal phase shift. From the results of the performed analysis, we recommend the trend method to gait symmetry assessment. The comparison of waveform-based symmetry methods brings new knowledge that will help in selecting an appropriate method for gait symmetry assessment under different experimental protocols.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/NV16-28119A" target="_blank" >NV16-28119A: Analysis of movement disorders for the study of extrapyramidal diseases mechanisms using motion capture camera systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biomedical Signal Processing and Control
ISSN
1746-8094
e-ISSN
1746-8108
Volume of the periodical
55
Issue of the periodical within the volume
101643
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
8
Pages from-to
1-8
UT code for WoS article
000502893200017
EID of the result in the Scopus database
2-s2.0-85071544741