A brief analysis of the use of non-linear time-frequency filtering for processing ECG signals

被引:2
|
作者
Altay, Yeldos A. [1 ]
Kremlev, Artem S. [1 ]
机构
[1] St Petersburg Natl IT Mech & Opt Res Univ, Fed State Autonomous Higher Educ Inst, Kronverkskiy Av 49, St Petersburg 197198, Russia
来源
CARDIOMETRY | 2018年 / 13期
关键词
ECG signal; Physiological noise; Time-frequency filtering; Threshold filtering; Empirical modes;
D O I
10.12710/cardiometry.2018.13.9698
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Some current trends of the use of non-linear time-frequency filtering approach to ECG signal processing are discussed herein. A brief review of an application potentiality of non-linear filtration is offered for long-term ECG signal processing. Possible problems of long-term monitoring, related to measurements interference and noise of ECG signal, are revealed. To eliminate the revealed problems, in further research, an implementation of a processing system using the non-linear-threshold time-frequency filtering method is planned. It is expected to improve an accuracy of cardiac data processing considering features of interference and measurement noise of different intensity.
引用
收藏
页码:96 / 98
页数:3
相关论文
共 50 条
  • [1] Joint time-frequency analysis and non-linear estimation for fetal ECG extraction
    Krupa, Abel Jaba Deva
    Dhanalakshmi, Samiappan
    Kumar, R.
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 75
  • [2] Time-frequency analysis of ECG signals using an image processing technique
    Tagluk, ME
    English, MJ
    [J]. JOURNAL OF MEDICAL ENGINEERING & TECHNOLOGY, 1999, 23 (05) : 190 - 195
  • [3] The Time-Frequency Analysis of Abnormal ECG Signals
    Song, Lantian
    Yu, Fengqin
    [J]. LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, 2010, 6330 : 60 - 66
  • [4] Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis
    Gajic, Dragoljub
    Djurovic, Zeljko
    Gligonjevic, Jovan
    Di Gennaro, Stefano
    Savic-Gajic, Ivana
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 9
  • [5] Siren noise attenuation by non-linear processing of time-frequency information
    Sepehr, Hamid
    Ahmadi, Masoud
    Brennan, Paul
    [J]. NEW ASPECTS OF SIGNAL PROCESSING AND WAVELETS, 2008, : 52 - +
  • [6] Deconvolution approach for time-frequency analysis of ECG signals
    Al-Manie, MA
    [J]. 2004 RF AND MICROWAVE CONFERENCE, RFM 2004, PROCEEDINGS, 2004, : 243 - 245
  • [7] The analysis of ECG signals using time-frequency techniques
    Tagluk, ME
    English, MJ
    [J]. PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING, 1997, 19 : 1320 - 1323
  • [8] Evaluation of time-frequency and wavelet analysis of ECG signals
    Aqil, Mounaim
    Jbari, Atman
    Bourouhou, Abdermasser
    [J]. PROCEEDINGS OF 2015 THIRD IEEE WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2015,
  • [9] Time-frequency characteristics of non-linear systems
    Braun, S
    Feldman, M
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1997, 11 (04) : 611 - 620
  • [10] Hybrid processing and time-frequency analysis of ECG signal
    Tu, CY
    Zeng, YJ
    Ren, XY
    Wu, SC
    Yang, XC
    [J]. PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 361 - 364