Literature DB >> 18232382

Power-line interference detection and suppression in ECG signal processing.

Yue-Der Lin1, Yu Hen Hu.   

Abstract

A novel power-line interference (PLI) detection and suppression algorithm is presented to preprocess the electrocardiogram (ECG) signals. A distinct feature of this proposed algorithm is its ability to detect the presence of PLI in the ECG signal before applying the PLI suppression algorithm. No PLI suppression operation will be performed if PLI is not detected. We propose a PLI detector that employs an optimal linear discriminant analysis (LDA) algorithm to make a decision for the PLI presence. An efficient recursive least-squares (RLS) adaptive notch filter is also developed to serve the purpose of PLI suppression. Experimental results demonstrate superior performance of this proposed algorithm.

Mesh:

Year:  2008        PMID: 18232382     DOI: 10.1109/TBME.2007.902234

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective.

Authors:  Hadi Habibzadeh; Karthik Dinesh; Omid Rajabi Shishvan; Andrew Boggio-Dandry; Gaurav Sharma; Tolga Soyata
Journal:  IEEE Internet Things J       Date:  2019-10-09       Impact factor: 9.471

2.  Ideal filtering approach on DCT domain for biomedical signals: index blocked DCT filtering method (IB-DCTFM).

Authors:  Hang Sik Shin; Chungkeun Lee; Myoungho Lee
Journal:  J Med Syst       Date:  2009-04-30       Impact factor: 4.460

3.  Adaptive Interference Cancellation of ECG Signals.

Authors:  Aifeng Ren; Zhenxing Du; Juan Li; Fangming Hu; Xiaodong Yang; Haider Abbas
Journal:  Sensors (Basel)       Date:  2017-04-25       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.