| dc.contributor.author | Wu, Guo-Qiang | |
| dc.contributor.author | Ding, Guang-Hong | |
| dc.contributor.author | Li, Cheng | |
| dc.contributor.author | Poon, Chi-Sang | |
| dc.date.accessioned | 2010-04-20T14:39:06Z | |
| dc.date.available | 2010-04-20T14:39:06Z | |
| dc.date.issued | 2009-11 | |
| dc.date.submitted | 2009-09 | |
| dc.identifier.isbn | 978-1-4244-3296-7 | |
| dc.identifier.issn | 1557-170X | |
| dc.identifier.other | INSPEC Accession Number: 10984160 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/53731 | |
| dc.description.abstract | A wide variety of methods based on fractal, entropic or chaotic approaches have been applied to the analysis of complex physiological time series. In this paper, we show that fractal and entropy measures are poor indicators of nonlinearity for gait data and heart rate variability data. In contrast, the noise titration method based on Volterra autoregressive modeling represents the most reliable currently available method for testing nonlinear determinism and chaotic dynamics in the presence of measurement noise and dynamic noise. | en |
| dc.description.sponsorship | United States National Institutes of Health (grants HL075014 and HL079503 (CSP)) | en |
| dc.description.sponsorship | NNSFC of China (grant no. 30370353 (GQW) | en |
| dc.description.sponsorship | Shanghai Leading Academic Discipline Project (No B112 (GHD)) | en |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers | en |
| dc.relation.isversionof | http://dx.doi.org/10.1109/IEMBS.2009.5332501 | en |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en |
| dc.source | IEEE | en |
| dc.title | Fractal, entropic and chaotic approaches to complex physiological time series analysis: a critical appraisal | en |
| dc.type | Article | en |
| dc.identifier.citation | Cheng Li et al. “Fractal, entropic and chaotic approaches to complex physiological time series analysis: A critical appraisal.” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. 3429-3432.
©2009 Institute of Electrical and Electronics Engineers. | en |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.approver | Poon, Chi-Sang | |
| dc.contributor.mitauthor | Poon, Chi-Sang | |
| dc.relation.journal | Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009. | en |
| dc.eprint.version | Final published version | en |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en |
| dspace.orderedauthors | Cheng Li; Guang-Hong Ding; Guo-Qiang Wu; Chi-Sang Poon | en |
| mit.license | PUBLISHER_POLICY | en |
| mit.metadata.status | Complete | |
