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.
| Original language | English |
|---|---|
| Pages (from-to) | 841-843 |
| Number of pages | 3 |
| Journal | Medical and Biological Engineering and Computing |
| Volume | 33 |
| Issue number | 6 |
| Publication status | Published - Nov 1995 |
| Externally published | Yes |
Keywords
- compression
- electrocardiogram
- neural nets
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