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 μ W at 1 kHz.

中文翻译：

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用于心电图心律失常检测的脉冲驱动门控递归神经网络处理器，采用 55 纳米 CMOS 技术实现

在本文中，设计了一种基于门控递归神经网络算法的异步尖峰驱动处理器，用于心电图 (ECG) 心律失常检测。基于处理器，所提出的 ECG 检测模型包含一个多对多门控循环单元层和一个全连接层，使用 MIT-BIH 心律失常数据库可以实现 97.8% 的高分类总体准确率。该处理器采用 55 纳米 1P6M CMOS 技术制造。它集成了大约 140 万个逻辑门，包括 4.0 mm 2 芯片面积内的 40 KB 片上存储器。测试芯片在实时工作频率 (200 MHz) 下功耗为 6.28 mW，内核电源电压为 1.2 V，1 kHz 下功耗为 2.65 μ W。