title: Can the techniques of nonlinear dynamics detect chaotic behavior in electrocardiographic signals?
authors.affiliation: Division of Thoracic and Cardiovascular Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048.
authors.forename: T A
authors.initials: TA
authors.lastname: Denton
authors.forename: G A
authors.initials: GA
authors.lastname: Diamond
authors.forename: S S
authors.initials: SS
authors.lastname: Khan
authors.forename: H
authors.initials: H
authors.lastname: Karagueuzian
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology; D004562:Electrocardiography / Q000379:methods*; D005374:Filtration; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D008433:Mathematics; D012815:Signal Processing, Computer-Assisted