• DocumentCode
    2347985
  • Title

    Various Approaches to Minimise Noises in ECG Signal: A Survey

  • Author

    Singh, Balwinder ; Singh, Preeti ; Budhiraja, Sumit

  • Author_Institution
    UIET, Panjab Univ., Chandigarh, India
  • fYear
    2015
  • fDate
    21-22 Feb. 2015
  • Firstpage
    131
  • Lastpage
    137
  • Abstract
    ECG signal is time varying in nature which is most common source used for the diagnosis and analysis of heart diseases present in the patient. ECG is recorded by placing electrodes at specified positions of human body. During recording, ECG is contaminated with artifacts and noises which always degrade its quality, and makes accurate and automatic interpretation more difficult. Power line interference, baseline wanders and muscle tremors are mostly noticed artifacts or noises. So for accurate delineation of characteristics points of ECG, a good quality of ECG is necessary. This paper is presenting a survey on various methods developed for de-noising, delineation of characteristics points and classification of diseases along with their respective advantages and disadvantages.
  • Keywords
    biomedical electrodes; diseases; electrocardiography; medical signal processing; muscle; patient diagnosis; signal classification; signal denoising; ECG characteristic point delineation; ECG signal denoising; ECG signal noise minimisation; baseline wanders; disease classification; electrodes; heart disease analysis; heart disease diagnosis; muscle tremors; power line interference; Adaptive filters; Electrocardiography; Heart; Noise; Noise reduction; Wavelet transforms; ECG; EMD; classification; de-noising; delineation; filter techniques; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
  • Conference_Location
    Haryana
  • Print_ISBN
    978-1-4799-8487-9
  • Type

    conf

  • DOI
    10.1109/ACCT.2015.87
  • Filename
    7079066