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The objective of this research is rhythm classification and event detection based on the intracardiac electrogram (EGM) signals. The proposed methods are designed for implantable devices that should operate on extremely lowpower budgets. In the meantime, these methods should operate in real time and the processing delay should be in the minimal range acceptable for such applications. The detection methods should be very reliable and robust to interference, noise, and morphology variations.
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