title: Ordinal symbolic analysis and its application to biomedical recordings.
abstract: Ordinal symbolic analysis opens an interesting and powerful perspective on time-series analysis. Here, we review this relatively new approach and highlight its relation to symbolic dynamics and representations. Our exposition reaches from the general ideas up to recent developments, with special emphasis on its applications to biomedical recordings. The latter will be illustrated with epilepsy data.
authors.affiliation: Centro de Investigación Operativa, Universidad Miguel Hernández, Avda. de la Universidad s/n, 03202 Elche, Spain keller@math.uni-luebeck.de.
authors.forename: José M
authors.initials: JM
authors.lastname: Amigó
authors.affiliation: Institut für Mathematik, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
authors.forename: Karsten
authors.initials: K
authors.lastname: Keller
authors.affiliation: Institut für Mathematik, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany Graduate School for Computing in Medicine and Life Science, Universität zu Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
authors.forename: Valentina A
authors.initials: VA
authors.lastname: Unakafova
mesh_terms: D000465:Algorithms; D035843:Biomedical Research / Q000379:methods*; D019277:Entropy; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated; D011336:Probability; D012815:Signal Processing, Computer-Assisted; D013995:Time
keywords: ordinal patterns; permutation entropy; symbolic dynamics; time-series analysis