The energy-efficient implementation of an adaptive-filtering-based QRS complex detection method for wearable devices  

作　　者：Shudong Tian Jun Han Jianwei Yang Xiaoyang Zeng 

机构地区：[1]State Key Laboratory of ASIC and System,Fudan University

出　　处：《Journal of Semiconductors》2017年第10期15-21,共7页半导体学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.61574040,61234002,61525401)

摘　　要：Electrocardiogram（ECG） can be used as a valid way for diagnosing heart disease.To fulfill ECG processing in wearable devices by reducing computation complexity and hardware cost,two kinds of adaptive filters are designed to perform QRS complex detection and motion artifacts removal,respectively.The proposed design achieves a sensitivity of 99.49% and a positive predictivity of 99.72%,tested under the MIT-BIH ECG database.The proposed design is synthesized under the SMIC 65-nm CMOS technology and verified by post-synthesis simulation.Experimental results show that the power consumption and area cost of this design are of 160 μW and 1.09×10^5 μm^2,respectively.Electrocardiogram（ECG） can be used as a valid way for diagnosing heart disease.To fulfill ECG processing in wearable devices by reducing computation complexity and hardware cost,two kinds of adaptive filters are designed to perform QRS complex detection and motion artifacts removal,respectively.The proposed design achieves a sensitivity of 99.49% and a positive predictivity of 99.72%,tested under the MIT-BIH ECG database.The proposed design is synthesized under the SMIC 65-nm CMOS technology and verified by post-synthesis simulation.Experimental results show that the power consumption and area cost of this design are of 160 μW and 1.09×10^5 μm^2,respectively.

关 键 词：ECG adaptive filter QRS motion artifacts R wave detection 

分 类 号：TN713[电子电信—电路与系统] TP368.33[自动化与计算机技术—计算机系统结构]