首页|Spike-driven gated recurrent neural network processor for electrocardiogram arrhythmias detection realised in 55-nm CMOS technology
Spike-driven gated recurrent neural network processor for electrocardiogram arrhythmias detection realised in 55-nm CMOS technology
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NETL
NSTL
Wiley
In this Letter, an asynchronous spike-driven processor based on gated recurrent neural network algorithm for electrocardiogram (ECG) cardiac arrhythmias detection has been designed. Based on the processor, the proposed ECG detection model, containing a many-to-many gated recurrent unit layer and a fully connected layer, can achieve a high classification overall accuracy of 97.8% using the MIT-BIH arrhythmia database. The processor was fabricated in 55-nm 1P6M CMOS technology. It integrates about 1.4 million logic gates, including 40 KB of on-chip memory within a 4.0 mm(2) die area. The test chip consumes 6.28 mW at real-time operation frequency (200 MHz) with 1.2 V core supply voltage and 2.65 mu W at 1 kHz.
Wu, Yuancong、Liu, Y. H.、Liu, Shuang、Yu, Q.、Chen, T. P.、Liu, Y.
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Univ Elect Sci & Technol China, State Key Lab Elect Thin Films & Integrated Devic, Chengdu 610054, Peoples R China
NETL
NSTL
Wiley
