Symbolic dynamics for medical data analysis
- Observational data of natural systems, as measured in medical measurements are typically quite different from those obtained in laboratories. Due to the peculiarities of these data, wellknown characteristics, such as power spectra or fractal dimension, often do not provide a suitable description. To study such data, we present here some measures of complexity, which are basing on symbolic dynamics. Firstly, a motivation for using symbolic dynamics and measures of complexity in data analysis based on the logistic map is given and next, two applications to medical data are shown. We demonstrate that symbolic dynamics is a useful tool for the risk assessment of patients after myocardial infarction as well as for the evaluation of th e architecture of human cancellous bone.
| Author details: | Niels WesselORCiDGND, Udo Schwarz, Peter Saparin, Jürgen KurthsORCiDGND |
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| URL: | http://www.agnld.uni-potsdam.de/~shw/Paper/EUROATTRACTOR2000.ps |
| ISBN: | 3-936142-09-2 |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2002 |
| Publication year: | 2002 |
| Release date: | 2017/03/24 |
| Source: | Attractors, signals, and synergetics : proceedings of the 1st European Interdisciplinary School on Nonlinear Dynamics for System and Signal Analysis, EUROATTRACTOR 2000, Warsaw, June 06 to June 15, 2000 / Hrsg.: Wlodzimierz Klonowski. - Lengerich [u.a.] : Pabst Science Publ., 2002. - ISBN: 3-936142-09-2. - (Frontiers on nonlinear dynamics ; 1). - S. 45 - 61 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
| Zentrale und wissenschaftliche Einrichtungen / Interdisziplinäres Zentrum für Dynamik komplexer Systeme | |
| Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik |
