An Approach to Successful Power-line Interference Suppression in ECG Signals

被引:1
|
作者
Dotsinsky I. [1 ]
机构
[1] Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Science Acad, Georgi Bonchev Str. Bl. 105, Sofia
来源
Dotsinsky, Ivan | 1600年 / Institute of Biophysics and Biomedical Engineering卷 / 26期
关键词
ECG signals; Narrow notch filtration; Power line interference suppression; Subtraction procedure;
D O I
10.7546/ijba.2022.26.1.000848
中图分类号
学科分类号
摘要
The ECG signals acquisition is usually corrupted by presence of Power-Line Interference (PLI) induced by the electromagnetic field around us. Many methods for PLI suppression/elimination have been developed over the years. The easy to apply traditional notch filters suppress unacceptably the ECG spectrum around the rated PL frequencies of 50 or 60 Hz and their deviations, which are restricted by the standards within the range of ± 0.5 Hz. The changes are very slow but the current PL frequency has to be continuously checked to allow start and performance of adequate PLI suppression during any ECG recordings including the 24 hours Holter monitoring. According to the proposed approach, the corrupted ECG recording is bi-directional band-pass (BP) filtered. The resulting sinusoidal BP waves differ in amplitude from the PLI but their zero crossing points remain identical. The two out-sample distances located at both ends of each current sinusoidal curve are calculated and aided to the inter-sample distances. The obtained fractal wave period is converted into current PL frequency and used for bi-directional notch filtration with narrow stop-band. The results obtained demonstrate a very successful PLI suppression in ECG signals. The errors committed are within a few µV, except for the edges of the recordings due to the transition processes. © 2021. by the authors. All Rights Reserved.
引用
收藏
页码:83 / 92
页数:9
相关论文
共 50 条
  • [21] An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique
    Singhal, Amit
    Singh, Pushpendra
    Fatimah, Binish
    Pachori, Ram Bilas
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 57
  • [22] A Review of Transient Suppression Methods of IIR Notch Filters Used for Power-line Interference Rejection in ECG Measurement
    Mahdiani, Shadi
    Jeyhani, Vala
    Vehkaoja, Antti
    XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016, 2016, 57 : 151 - 156
  • [23] Baseline wander and power-line interference elimination of ECG signals using efficient signal-piloted filtering
    Mian Qaisar, Saeed
    HEALTHCARE TECHNOLOGY LETTERS, 2020, 7 (04) : 114 - 118
  • [24] Power-Line Interference Removal from High Sampled Ecg Signals Using Modified Version of the Subtraction Procedure
    Dotsinsky I.
    Stoyanov T.
    Mihov G.
    International Journal Bioautomation, 2020, 24 : 381 - 392
  • [25] Power-line interference elimination from ECG in case of non-multiplicity between the sampling rate and the power-line frequency
    Mihov, Georgy
    Dotsinsky, Ivan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2008, 3 (04) : 334 - 340
  • [26] Power-line interference and baseline wander elimination in ECG using VMD and EWT
    Mir, Haroon Yousuf
    Singh, Omkar
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2023, 27 (15) : 2111 - 2130
  • [27] Power-Line Interference Suppression in Electrocardiogram Using Recurrent Neural Networks
    Qiu, Yue
    Huang, Kejie
    Xiao, Feng
    Shen, Haibin
    2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI), 2017,
  • [28] Suppression of power-line interference by analog notch filtering in the ECG signal for heart rate variability analysis: to do or not to do?
    Hejjel, L
    MEDICAL SCIENCE MONITOR, 2004, 10 (01): : MT6 - MT13
  • [30] Power-line Interference Elimination from ECG Signals Using Notch Filtration: A Quasi-real Time Version
    Stoyanov, Todor
    Dotsinsky, Ivan
    Mihov, Georgy
    International Journal Bioautomation, 2024, 28 (03) : 161 - 170