Literature DB >> 23893202

Design of wavelet-based ECG detector for implantable cardiac pacemakers.

Young-Jae Min1, Hoon-Ki Kim, Yu-Ri Kang, Gil-Su Kim, Jongsun Park, Soo-Won Kim.   

Abstract

A wavelet Electrocardiogram (ECG) detector for low-power implantable cardiac pacemakers is presented in this paper. The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 μm CMOS technology. The testchip including a low-power analog-to-digital converter (ADC) shows a low detection error-rate of 0.196% and low power consumption of 19.02 μW with a 3 V supply voltage.

Mesh:

Year:  2013        PMID: 23893202     DOI: 10.1109/TBCAS.2012.2229463

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


  4 in total

Review 1.  From Pacemaker to Wearable: Techniques for ECG Detection Systems.

Authors:  Ashish Kumar; Rama Komaragiri; Manjeet Kumar
Journal:  J Med Syst       Date:  2018-01-11       Impact factor: 4.460

2.  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

3.  Area efficient folded undecimator based ECG detector.

Authors:  A Uma; P Kalpana
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

4.  An Energy efficient application specific integrated circuit for electrocardiogram feature detection and its potential for ambulatory cardiovascular disease detection.

Authors:  Sanjeev Kumar Jain; Basabi Bhaumik
Journal:  Healthc Technol Lett       Date:  2016-01-26
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.