JSSC 2019第8期Digital Circuits65nmBiosignal

A 106-μW Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authenticatio

一款用于实时生物特征认证的65nm CMOS智能ECG处理器

65nm CMOS, 1.06 µW @ 0.55V, 1.70%/2.18%/2.48% 等错误率

ECG处理器生物特征认证神经网络低功耗心脏监测

▸利用ECG特征进行神经网络生物认证

▸数据驱动的Lasso回归和低精度技术压缩神经网络

▸集成心脏监测和生物认证功能

Abstract

Many wearable devices employ the sensors for physiological signals (e.g., electrocardiogram or ECG) to con- tinuously monitor personal health (e.g., cardiac monitoring). Considering private medical data storage, secure access to such wearable devices becomes a crucial necessity. Exploiting the ECG sensors present on wearable devices, we investigate the possibility of using ECG as the individually unique source for device authentication. In particular, we propose to use ECG features toward both c