hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use
Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0003-4086-9221
Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
Show others and affiliations
2020 (English)In: Biomedical Signal Processing and Control, ISSN 1746-8094, E-ISSN 1746-8108, Vol. 55, article id 101643Article in journal (Refereed) Published
Abstract [en]

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. © 2019 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2020. Vol. 55, article id 101643
Keywords [en]
Gait symmetry, Trend method, Cyclogram, Symbolic method, Cross-Correlation
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-40497DOI: 10.1016/j.bspc.2019.101643OAI: oai:DiVA.org:hh-40497DiVA, id: diva2:1348405
Note

Funding: The Czech Health Research Council (Czech Republic), Grant no. 16-28119a, “Analysis of movement disorders for the study of extrapyramidal diseases mechanism using motion capture camera systems”.

Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Khandelwal, Siddhartha

Search in DiVA

By author/editor
Khandelwal, Siddhartha
By organisation
CAISR - Center for Applied Intelligent Systems Research
In the same journal
Biomedical Signal Processing and Control
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 68 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf