Abstract
This paper proposed a new algorithm of data compression for ambulatory ECG, where no distortion was included in the reconstructed signal, templates were constructed selectively from detected beats, and categorized ECG morphologies (templates) could be displayed in decoding the compressed data. This algorithm consisted of subtracting a best-fit template from the detected beat with an aid of multi-template matching, first differencing of the resulting residuals and modified Huff-man coding.
| Original language | English |
|---|---|
| Pages (from-to) | 1419-1424 |
| Number of pages | 6 |
| Journal | IEICE Transactions on Information and Systems |
| Volume | E76-D |
| Issue number | 12 |
| Publication status | Published - 1993 Dec 1 |
| Externally published | Yes |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence