• DocumentCode
    561854
  • Title

    Physionet Challenge 2011: Improving the quality of electrocardiography data collected using real time QRS-complex and T-Wave detection

  • Author

    Tat, Thomas Ho Chee ; Xiang, Chen ; Thiam, Lim Eng

  • Author_Institution
    Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    The Physionet Challenge [1] focused on discerning between usable and unusable electrocardiography (ECG) data tele-medically from mobile embedded devices. Based on our publications [2,3,4], we have designed a method to determine the quality of ECG data and its usability using an adaptation of the Tompkins et al [5] real time QRS detection algorithm. With our modifications to the algorithm to cater to a very short length of data, out method is able to differentiate with accuracy the usability of ECG data in training set A as well as test set B.
  • Keywords
    data acquisition; electrocardiography; mobile computing; mobile handsets; telemedicine; ECG; Physionet Challenge 2011; T-wave detection; Tompkins et al; data quality; electrocardiography; mobile embedded devices; real time QRS-complex detection; telemedicine; Cardiology; Electrocardiography; Electrodes; Engines; Heart rate; Noise; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164597