Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor
Accurate detection of pathological conditions in human subjects can be achieved through off-line analysis of recorded biological signals such as electrocardiograms (ECGs). However, human diagnosis is time-consuming and expensive, as it requires the time of medical professionals. This is especially i...
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Veröffentlicht in: | IEEE transactions on biomedical circuits and systems 2019-12, Vol.13 (6), p.1575-1582 |
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