A Fully Analog Autonomous QRS Complex Detection and Low-Complexity Asystole, Extreme Bradycardia, and Tachycardia Classification System
Author:
Affiliation:
1. Department of Electrical Engineering, IIT Hyderabad, Hyderabad, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09926113.pdf?arnumber=9926113
Reference49 articles.
1. Identification of ECG signal pattern changes to reduce the incidence of Ventricular Tachycardia false alarms
2. Prediction of Life-Threatening Heart Arrhythmias Using Obstructive Sleep Apnoea Characteristics
3. Variable Threshold Method for ECG R-peak Detection
4. 0.5-$\mu\hbox{m}$ CMOS Implementation of Analog Heart-Rate Extraction With a Robust Peak Detector
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detection of QRS Complexes in ECG Signal;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24
2. A 2.2 nW Analog Electrocardiogram Processor Based on Stochastic Resonance Achieving a 99.94% QRS Complex Detection Sensitivity;IEEE Transactions on Biomedical Circuits and Systems;2023-02
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