title: ANN compression of morphologically similar ECG complexes.
abstract: A compression algorithm for electrocardiogram signals is presented, based on an auto-associative neural network. Issues of weight and activation coding are considered, and compression performances of various network sizes are compared. A unique feature is the performance improvement achieved using DC level removal. A comparison with existing techniques is provided.
authors.affiliation: Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK.
authors.forename: D J
authors.initials: DJ
authors.lastname: Hamilton
authors.forename: D C
authors.initials: DC
authors.lastname: Thomson
authors.forename: W A
authors.initials: WA
authors.lastname: Sandham
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted