A 2.66 μW Clinician-Like Cardiac Arrhythmia Watchdog Based on P-QRS-T for Wearable Applications

被引：4

作者：

Xu, Xinzi ^{[1
,2
]}

Cai, Qiao ^{[1
,2
]}

Zhao, Yang ^{[3
]}

Wang, Guoxing ^{[1
,2
]}

Zhao, Liebin ^{[4
]}

Lian, Yong ^{[3
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Micro Nano Elect, Shanghai 200240, Peoples R China

[2] Shanghai Jiao Tong Univ, MoE Key Lab Artificial Intelligence, Shanghai 200240, Peoples R China

[3] York Univ, Dept Elect Engn & Comp Sci, Toronto, ON M3J 1P3, Canada

[4] Shanghai Jiao Tong Univ, Sch Med, Xin Ilua Hosp, Shanghai Engn Res Ctr Telligence Pediat SERCIP, Shanghai 200092, Peoples R China

来源：

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS | 2022年 / 16卷 / 05期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Electrocardiography; Feature extraction; Heart beat; Biological neural networks; Wearable sensors; Energy efficiency; Detection algorithms; Clinician-like cardiac arrhythmia classification; ECG; P and T waves detection; QRS detection; wearable ECG sensors; ECG-ON-CHIP; DATA-COMPRESSION; PROCESSOR; SIGNALS; CLASSIFICATION; SYSTEM;

D O I：

10.1109/TBCAS.2022.3184971

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A wearable electrocardiogram (ECG) device is an effective tool for managing cardiovascular diseases. This paper presents a low power clinician-like cardiac arrhythmia watchdog (CAW) for wearable ECG devices. The CAW is based on a novel P-QRS-T detection algorithm that makes use of clinical features to identify abnormalities. Implemented in 0.18 mu m CMOS process, the CAW consumes 2.66 mu W for 80 bpm heart rate at 1.2 V supply with an area of 0.578 mm(2). Verified on QT database, the average sensitivity/positive predictivity for P-wave, QRS complex and T-wave are over 93.39%/88.55%, 99.69%/99.48%, and 97.13%/93.18% respectively, across over 190000 beats. It shows over 99.8% arrhythmia detection accuracy for 43 subjects evaluated on MIT-BIH database.

引用

页码：793 / 806

页数：14