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Real-Time Ultra-Low Power ECG Anomaly Detection Using An Event-Driven Neuromorphic Processor by Vinayak Deshmukh is a document available to read on EtoBox.

What is Real-Time Ultra-Low Power ECG Anomaly Detection Using An Event-Driven Neuromorphic Processor about?

The document presents a real-time, ultra-low power system for ECG anomaly detection using a neuromorphic processor, which allows for continuous health monitoring and early diagnosis of cardiovascular conditions. By employing a spiking recurrent neural network, the system processes ECG data to distinguish between healthy and pathological heart rhythms, significantly reducing the amount of data that needs to be stored or transmitted. The proposed approach aims to enhance patient care by enabling timely medica

Author

Vinayak Deshmukh

Language

EN