Literature DB >> 33580119

Area efficient folded undecimator based ECG detector.

A Uma1, P Kalpana2.   

Abstract

This paper presents an area-efficient folded wavelet filter-based Electrocardiogram (ECG) detector for cardiac pacemakers. The modified folded undecimator based detector consists of Wavelet Filter Bank, QRS complex detector with Generalized Likelihood Ratio Test (GLRT) block and noise detector. A high-level transformation technique such as folding transformation and Cutset retiming are applied to the GLRT block in order to reduce the silicon area. Folding is a high-level transformation applied at the architectural level to enhance the performance of DSP architectures. It reduces the number of adders, multipliers and delay elements in the architecture. The Cutset retiming reduces clock period of the architecture by changing position of delay elements in the critical path. The folding transformation and cutset retiming implement the functional blocks of the GLRT circuit with minimum hardware. The modified folded ECG detector is tested for short term and long-term MIT-BIH databases. The results show that the modified folded undecimator detector has hardware savings and achieves sensitivity of 99.95%, positive prediction of 99.97% and Detection Error Rate (DER) of 0.061. The folded GLRT block architecture is synthesized with FPGA Zed board XC7Z010CLG484-1. Results show that the device utilization and power consumption are lesser than the conventional GLRT structure.

Entities:  

Year:  2021        PMID: 33580119      PMCID: PMC7881094          DOI: 10.1038/s41598-021-82231-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  15 in total

1.  A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio.

Authors:  Kyung Hwan Kim; Sung June Kim
Journal:  IEEE Trans Biomed Eng       Date:  2003-08       Impact factor: 4.538

2.  A wavelet-based ECG delineator: evaluation on standard databases.

Authors:  Juan Pablo Martínez; Rute Almeida; Salvador Olmos; Ana Paula Rocha; Pablo Laguna
Journal:  IEEE Trans Biomed Eng       Date:  2004-04       Impact factor: 4.538

3.  Multiple functional ECG signal is processing for wearable applications of long-term cardiac monitoring.

Authors:  Xin Liu; Yuanjin Zheng; Myint Wai Phyu; Bin Zhao; Minkyu Je; Xiaojun Yuan
Journal:  IEEE Trans Biomed Eng       Date:  2010-07-29       Impact factor: 4.538

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

Authors:  Young-Jae Min; Hoon-Ki Kim; Yu-Ri Kang; Gil-Su Kim; Jongsun Park; Soo-Won Kim
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2013-08       Impact factor: 3.833

5.  ECG beat detection using filter banks.

Authors:  V X Afonso; W J Tompkins; T Q Nguyen; S Luo
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

6.  Time-frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions.

Authors:  Ashish Kumar; Rama Komaragiri; Manjeet Kumar
Journal:  Biomed Eng Lett       Date:  2019-06-28

7.  Efficient QRS complex detection algorithm based on Fast Fourier Transform.

Authors:  Ashish Kumar; Ramana Ranganatham; Rama Komaragiri; Manjeet Kumar
Journal:  Biomed Eng Lett       Date:  2018-10-25

8.  Design of wavelet transform based electrocardiogram monitoring system.

Authors:  Ashish Kumar; Rama Komaragiri; Manjeet Kumar
Journal:  ISA Trans       Date:  2018-08-09       Impact factor: 5.468

9.  Genetic design of optimum linear and nonlinear QRS detectors.

Authors:  R Poli; S Cagnoni; G Valli
Journal:  IEEE Trans Biomed Eng       Date:  1995-11       Impact factor: 4.538

10.  A 0.83- μW QRS detection processor using quadratic spline wavelet transform for wireless ECG acquisition in 0.35- μm CMOS.

Authors:  Chio-In Ieong; Pui-In Mak; Chi-Pang Lam; Cheng Dong; Mang-I Vai; Peng-Un Mak; Sio-Hang Pun; Feng Wan; Rui P Martins
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-12       Impact factor: 3.833

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