Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis
The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of  EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD). All methods were used to analyze stabilogram center of pressure (COP)...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2008-05-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2008/657391 |
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author | Jacques Duchêne David Hewson Hichem Snoussi Hassan Amoud |
author_facet | Jacques Duchêne David Hewson Hichem Snoussi Hassan Amoud |
author_sort | Jacques Duchêne |
collection | DOAJ |
description | The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of  EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD). All methods were used to analyze stabilogram center of pressure (COP) time series. The two new methods are suitable to be applied to complex time series to extract complex intrinsic mode functions (IMFs) before the Hilbert transform is subsequently applied on the IMFs. The trace of the analytic IMF in the complex plane has a circular form, with each IMF having its own rotation frequency. The area of the circle and the average rotation frequency of IMFs represent efficient indicators of the postural stability status of subjects. Experimental results show the effectiveness of these indicators to identify differences in standing posture between groups. |
first_indexed | 2024-04-11T23:26:15Z |
format | Article |
id | doaj.art-1b688ef0d31449adb5caf623c5b7416c |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-04-11T23:26:15Z |
publishDate | 2008-05-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-1b688ef0d31449adb5caf623c5b7416c2022-12-22T03:57:17ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802008-05-01200810.1155/2008/657391Univariate and Bivariate Empirical Mode Decomposition for Postural Stability AnalysisJacques DuchêneDavid HewsonHichem SnoussiHassan AmoudThe aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of  EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD). All methods were used to analyze stabilogram center of pressure (COP) time series. The two new methods are suitable to be applied to complex time series to extract complex intrinsic mode functions (IMFs) before the Hilbert transform is subsequently applied on the IMFs. The trace of the analytic IMF in the complex plane has a circular form, with each IMF having its own rotation frequency. The area of the circle and the average rotation frequency of IMFs represent efficient indicators of the postural stability status of subjects. Experimental results show the effectiveness of these indicators to identify differences in standing posture between groups.http://dx.doi.org/10.1155/2008/657391 |
spellingShingle | Jacques Duchêne David Hewson Hichem Snoussi Hassan Amoud Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis EURASIP Journal on Advances in Signal Processing |
title | Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis |
title_full | Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis |
title_fullStr | Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis |
title_full_unstemmed | Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis |
title_short | Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis |
title_sort | univariate and bivariate empirical mode decomposition for postural stability analysis |
url | http://dx.doi.org/10.1155/2008/657391 |
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