ANN compression of morphologically similar ECG complexes.
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.
Hamilton
D J
DJ
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK.
Thomson
D C
DC
Sandham
W A
WA
D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted