Literature DB >> 25608283

A 300-mV 220-nW event-driven ADC with real-time QRS detection for wearable ECG sensors.

Xiaoyang Zhang, Yong Lian.   

Abstract

This paper presents an ultra-low-power event-driven analog-to-digital converter (ADC) with real-time QRS detection for wearable electrocardiogram (ECG) sensors in wireless body sensor network (WBSN) applications. Two QRS detection algorithms, pulse-triggered (PUT) and time-assisted PUT (t-PUT), are proposed based on the level-crossing events generated from the ADC. The PUT detector achieves 97.63% sensitivity and 97.33% positive prediction in simulation on the MIT-BIH Arrhythmia Database. The t-PUT improves the sensitivity and positive prediction to 97.76% and 98.59% respectively. Fabricated in 0.13 μm CMOS technology, the ADC with QRS detector consumes only 220 nW measured under 300 mV power supply, making it the first nanoWatt compact analog-to-information (A2I) converter with embedded QRS detector.

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Year:  2014        PMID: 25608283     DOI: 10.1109/TBCAS.2013.2296942

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  4 in total

1.  Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems.

Authors:  Ashish Kumar; Manjeet Kumar; Rama Komaragiri
Journal:  J Med Syst       Date:  2018-04-19       Impact factor: 4.460

2.  Estimating metabolic equivalents for activities in daily life using acceleration and heart rate in wearable devices.

Authors:  Motofumi Nakanishi; Shintaro Izumi; Sho Nagayoshi; Hiroshi Kawaguchi; Masahiko Yoshimoto; Toshikazu Shiga; Takafumi Ando; Satoshi Nakae; Chiyoko Usui; Tomoko Aoyama; Shigeho Tanaka
Journal:  Biomed Eng Online       Date:  2018-07-28       Impact factor: 2.819

3.  Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization.

Authors:  Manel Ben-Romdhane; Asma Maalej; Mariam Tlili; Chiheb Rebai; François Rivet; Dominique Dallet
Journal:  Arab J Sci Eng       Date:  2020-03-31       Impact factor: 2.334

4.  Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.

Authors:  Saeed Mian Qaisar; Syed Fawad Hussain
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

  4 in total

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