• DocumentCode
    3596915
  • Title

    Screening ST segments in patients with cardiac autonomic neuropathy

  • Author

    Khandoker, Ahsan H. ; Boularaoui, S. ; Alhussein, G.M. ; Almatroushi, N.S.O. ; Osman, E.A.A. ; Widatalla, N.S.M. ; Khalaf, Kinda ; Jelinek, Herbert

  • Author_Institution
    Khalifa Univ., Abu Dhabi, United Arab Emirates
  • fYear
    2012
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    Given the elevated risk of cardiovascular events and the higher prevalence of silent ischaemia in diabetic patients, it is important to screen those patients for cardiac autonomic neuropathy (CAN). Early detection of CAN in diabetic patients, and hence timely intervention, are of critical importance towards preventing sudden cardiac death. The aim of this study is to assess whether myocardial ischaemia is common in diabetic patients with CAN by screening the ST heights of ECG signals. ST depression indicates myocardial ischaemia. The heights of ST segments of ECG signals (lead II) of 10 subjects without CAN (CAN-) [age: 61±16 years (4 males and 6 females)] and 10 subjects with CAN (CAN+) [age: 64±11 years (4 males and 6 females)] were extracted in LabChart. Episodes of ST segment depression were seen in 6 CAN+ patients (60%) but were not more common in CAN- patients. The ST heights of CAN+ group (-0.0116±0.04 mV) were found to be significantly (p=0.02) lower than that of CAN- group (0.07±0.13 mV).
  • Keywords
    cardiovascular system; diseases; electrocardiography; feature extraction; medical signal processing; signal sampling; ECG signals; LabChart; ST segment depression; age 61 yr; cardiac autonomic neuropathy; cardiac death; cardiovascular events; diabetic patients; feature extraction; myocardial ischaemia; screening ST segments; signal sampling; silent ischaemia; Australia; Diabetes; Diseases; Educational institutions; Electrocardiography; Heart rate; Myocardium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology (CinC), 2012
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4673-2076-4
  • Type

    conf

  • Filename
    6420470