A Neuromorphic Processing System for Low-Power Wearable ECG Classification

2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)(2021)

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摘要
This paper proposes a neuromorphic processing system and its classifier design for always-on wearable electrocardiogram (ECG) classification. The ECG signal is captured by level crossing (LC) sampling yielding single-bit temporal coding that can be natively fed into a spiking neural network (SNN) in an event-driven manner. Such an architecture simplifies the quantization of analog-to-digital conve...
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关键词
Training,Quantization (signal),Neuromorphics,Firing,Data acquisition,Artificial neural networks,Electrocardiography
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