• DocumentCode
    3562324
  • Title

    Dynamic filtration of high-frequency noise in ECG signal

  • Author

    Bortolan, Giovanni ; Christov, Ivaylo

  • Author_Institution
    Inst. of Biomed. Eng. ISIB, Padua, Italy
  • fYear
    2014
  • Firstpage
    1089
  • Lastpage
    1092
  • Abstract
    Electromyographic (EMG) noise is constantly present in stress test electrocardiographic recordings, due to physical exercise. The aim of the study is to investigate a filter that suppress sufficiently the EMG noise, with minimal distortion of high frequency content of the QRS complex. We studied 106 patients: age 63±10 years, 45 males. Digital 12-lead electrocardiograms (EC) were acquired during stress ECG test using veloergometer. Median recording duration of 7. 08 minutes and a mean number of 669 RR intervals. The considered EMG filter was tested. and the noise suppression out of QRS is at least 2.5 times higher than in QRS. A comparison with previous results in the same database for the analysis of QRS and T wave alternans. produced significant decrease of standard deviation of PCA index in QRS interval.
  • Keywords
    biomechanics; electrocardiography; electromyography; filtering theory; medical signal processing; principal component analysis; signal denoising; ECG signal; EMG filter; EMG noise suppression; PCA index; QRS complex; RR intervals; T wave alternans; digital 12-lead electrocardiograms; dynamic filtration; electromyographic noise; high-frequency noise; physical exercise; principal component analysis; stress test electrocardiographic recordings; veloergometer; Abstracts; Databases; Electrocardiography; Lead; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7043236