CALVIN: A Rule Based Expert System for Improving Arrhymia Detector Performance During Noisy ECGS
Human experts far outperform automated arrhythmia detectors in analyzing ECG data corrupted by noise and artifact. Humans make use of considerable a priori knowledge about cardiac electrophysiology and knowledge acquired from the specific ECG under analysis. R-R interval, coupling intervals of ecto...
Main Author: | Muldrow, Warren K. |
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Published: |
2023
|
Online Access: | https://hdl.handle.net/1721.1/149667 |
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