The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
On the use of sample entropy to analyze human postural sway data
Abstract
We analyze the irregularity of human postural sway data during quiet standing using the sample entropy (SampEn) algorithm. By considering recent methodological developments, we show that the SampEn parameter is able to characterize the irregularity of the center of pressure fluctuations through the analysis of the velocity variable. We present a practical method to select the input parameters of the SampEn algorithm. We show that the computed SampEn successfully discriminates two sensory conditions (eyes-open and eyes-closed) in a group of healthy young adults. We also perform surrogate data tests to investigate the nature of the underlying dynamics of our experimental data. Finally, the results of the proposed approach are compared to those obtained with the multiscale entropy algorithm.
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Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880
Fractional Brownian Motions, Fractional Noises and Applications
Mandelbrot, B. B., & Van Ness, J. W. (1968) · SIAM Review · doi:10.1137/1010093 · Cited by 7,645
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Ergodic theory of chaos and strange attractors
Eckmann, J. P., & Ruelle, D. (1985) · Reviews of Modern Physics · doi:10.1103/revmodphys.57.617 · Cited by 4,941
Packard, N. H., Crutchfield, J. P., Farmer, J. D., & Shaw, R. S. (1980) · Physical Review Letters · doi:10.1103/physrevlett.45.712 · Cited by 3,869
Testing for nonlinearity in time series: the method of surrogate data
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Doyne Farmer, J. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90102-s · Cited by 3,732
Multiscale Entropy Analysis of Complex Physiologic Time Series
Costa, M., Goldberger, A. L., & Peng, C.-K. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.068102 · Cited by 3,207
Statistics for Long-Memory Processes.
Ray, W. D., & Beran, J. (1996) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983481 · Cited by 2,686
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Review and classification of variability analysis techniques with clinical applications
Bravi, A., Longtin, A., & Seely, A. J. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-90 · Cited by 265
Smoot Reinert, S., Jackson, K., & Bigelow, K. (2015) · Physical & Occupational Therapy In Pediatrics · doi:10.3109/01942638.2014.975313 · Cited by 40
Characterization of postural control impairment in women with fibromyalgia
Sempere-Rubio, N., López-Pascual, J., Aguilar-Rodríguez, M., Cortés-Amador, S., Espí-López, G., Villarrasa-Sapiña, I., & Serra-Añó, P. (2018) · PLOS ONE · doi:10.1371/journal.pone.0196575 · Cited by 28
Metadata
- Authors
- Ramdani, S., Seigle, B., Lagarde, J., Bouchara, F., & Bernard, P. L.
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 2009-07-15
- Volume
- 31
- Issue
- 8
- Pages
- 1023-1031
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W1980274659
- Cited by
- 298
- References
- 60
- FWCI
- 30.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ramdani, S., Seigle, B., Lagarde, J., Bouchara, F., & Bernard, P. L. (2009). On the use of sample entropy to analyze human postural sway data. Medical Engineering & Physics. https://doi.org/10.1016/j.medengphy.2009.06.004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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