title: Wavelet packet-based compression of single lead ECG.
abstract: A preliminary investigation of a wavelet packet based algorithm for the compression of single lead ECG is presented. The algorithm combines the efficiency and flexibility of wavelet packet expansions with the methodology of the Karhunen-Loeve transform (KLT). For selected records from the MIT-BIH arrhythmia database, an average data rate of 184.7 bits per second, corresponding to a compression ratio of 21.4 : 1, is achieved. When compared with the KLT applied to the same data, the wavelet packet algorithm generates significantly lower data rates with less than one-third the computational effort.
authors.affiliation: Department of Mathematics, Christopher Newport University, Newport News, VA 23606, USA. bbradie@pcs.cnu.edu
authors.forename: B
authors.initials: B
authors.lastname: Bradie
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D016477:Artifacts; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data; D004566:Electrodes; D006339:Heart Rate; D006801:Humans