Abstract
Former fuzzy-pacemaker algorithms could combine inputs from sensors effectively, but it has been in difficulties for the implementation because of complex calculation and limitation of memory. In this paper, pacemaker algorithm which controlled heart rate adaptively by motion and respiratory rate was proposed. Consequently, the inferred heart rate using neuro-fuzzy method was more accurate than the one using normal fuzzy table look-up method, and the applicability to a real pacemaker system was achieved by reduced mapping of neuro-fuzzy consequential table, which was accomplished to operations to wish with a shift operator and 1K memory bytes.
| Original language | English |
|---|---|
| Pages (from-to) | 992-994 |
| Number of pages | 3 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| Publication status | Published - 2000 |
| Event | 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States Duration: 2000 Jul 23 → 2000 Jul 28 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics