A 0.5 nW Analog ECG Processor for Real Time R-wave Detection Based on Pan -Tompkins Algorithm

被引：0

作者：

Gungor, Cihan Berk ^{[1
,2
]}

Toreyin, Hakan ^{[3
]}

机构：

[1] Univ Calif San Diego, Elect & Comp Engn, San Diego, CA 92103 USA

[2] San Diego State Univ, San Diego, CA 92182 USA

[3] San Diego State Univ, Elect & Comp Engn, San Diego, CA 92182 USA

来源：

2019 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI) | 2019年

关键词：

physical computation; energy-efficient IC processor; R-wave; real-time signal processing; WEARABLE HEALTH; NOISE; SOC;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Noninvasive ubiquitous health-monitoring applications necessitate real-time, accurate, and energy-efficient computation of health-related parameters. R-waves are critical features for cardiac health assessment using ECG. In this paper, an energy-efficient application specific integrated circuit (ASIC) processor for real-time R-wave detection based on the PanTompkins algorithm is presented. R-wave detection through processing in the analog domain is demonstrated using simulation results. The processor is designed in a 65 nm CMOS technology and consumes 0.5 nW from a 1 V supply. Based on simulation results using the MIT-BIH arrhythmia database, the processor achieves average R-wave detection sensitivity and positive predictive values of 98.98% and 98.9%, respectively.

引用

页数：4

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