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.
|Number of pages||3|
|Journal||Medical and Biological Engineering and Computing|
|Publication status||Published - Nov 1995|
- neural nets