title: A novel wavelet transform based analysis reveals hidden structure in ventricular fibrillation.
abstract: We report a new method of interrogating the surface ECG signal using techniques developed in the field of wavelet transform analysis. Previously unreported structure within the ECG during ventricular fibrillation (VF) is found using a high-resolution decomposition of the signal employing the continuous wavelet transform. We believe that wavelet transform methods could lead to the development of powerful tools for use in the resuscitation of patients with cardiac arrest.
authors.affiliation: Faculty of Engineering, Napier University, Edinburgh, UK.
authors.forename: J N
authors.initials: JN
authors.lastname: Watson
authors.forename: P S
authors.initials: PS
authors.lastname: Addison
authors.forename: G R
authors.initials: GR
authors.lastname: Clegg
authors.forename: M
authors.initials: M
authors.lastname: Holzer
authors.forename: F
authors.initials: F
authors.lastname: Sterz
authors.forename: C E
authors.initials: CE
authors.lastname: Robertson
mesh_terms: D000818:Animals; D016887:Cardiopulmonary Resuscitation; D004562:Electrocardiography; D012815:Signal Processing, Computer-Assisted; D013552:Swine; D014693:Ventricular Fibrillation / Q000175:diagnosis* / Q000628:therapy