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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao HAL UPECarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
HAL UPEC
Conference object . 2016
Data sources: HAL UPEC
https://doi.org/10.1109/embc.2...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2020
Data sources: DBLP
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Human static postures analysis using empirical mode decomposition

Authors: Safi, K.; Hutin, E.; Mohammed, Samer; Albertsen, M.; Delechelle, E; Amirat, Yacine; Khalil, M.; +1 Authors

Human static postures analysis using empirical mode decomposition

Abstract

The goal of this paper is to analyze the human stability during static postures using stabilometric signals. The effects of subject's visual input, feet position, age and gender are analyzed. Twenty eight healthy subjects have participated in this study. The center of pressure displacements were measured along the Medio-Lateral (ML) and Antero-Posterior (AP) directions. Empirical mode decomposition method is used to decompose the stabilometric signal into several elementary signals called Intrinsic Mode Functions (IMF). A stabilogram-diffusion method is used to generate the related diffusion curve of each IMF and a resulting index called Critical Point (CP) is calculated. The CP parameter showed significant differences between groups using repeated measure ANOVA, particularly in the ML direction in terms of visual modality, feet position, age and gender. The present findings may guide the rehabilitation process. Our proposed method compares favorably to conventional stabilometric analysis based on the center of pressure excursion calculation.

Country
France
Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Adult, Male, Foot, Posture, Age Factors, Signal Processing, Computer-Assisted, Middle Aged, Young Adult, Pressure, Humans, Female, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Aged, Monitoring, Physiologic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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