• DocumentCode
    1102685
  • Title

    Multiway sequential hypothesis testing for tachyarrhythmia discrimination

  • Author

    Thakor, Nitish V. ; Natarajan, Ananth ; Tomaselli, Gordon F.

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Sch. of Med., Baltimore, MD, USA
  • Volume
    41
  • Issue
    5
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    480
  • Lastpage
    487
  • Abstract
    A multiway sequential hypothesis testing (M-SHT) algorithm is proposed for simultaneous discrimination of cardiac tachyarrhythmias-supraventricular tachycardia (SVT) and ventricular tachycardia (VT)-from normal sinus rhythm (NSR). The M-SHT algorithm calculates a likelihood function from atrio-ventricular delay measurements, and compares this function with thresholds derived from specified error probabilities for the arrhythmias to be discriminated. Performance of this algorithm was evaluated on dual channel endocardial electrograms recorded in the cardiac electrophysiology laboratory. Two databases were developed, one for development of the algorithm and another for evaluation. The M-SHT algorithm accurately classified 26 out of 28 NSR (2 misclassified as SVT), 31 out of 31 cases of SVT, and 41 out of 43 VT (2 misclassified as NSR). The average length of time taken for classification of the three rhythms was: 3.6 s for NSR, 5.0 s for SVT, and 1.6 s for VT. Unique features of this algorithm are that acceptable error rates for each arrhythmia are independently specified and accuracy can be traded off for a faster detection time, and vice versa.
  • Keywords
    electrocardiography; medical signal processing; 1.6 to 5 s; ECG analysis; atrioventricular delay measurements; cardiac electrophysiology laboratory; cardiac tachyarrhythmias; databases; detection time; dual channel endocardial electrograms; error rates; heart disorders; likelihood function; multiway sequential hypothesis testing algorithm; normal sinus rhythm; specified error probabilities; supraventricular tachycardia; tachyarrhythmia discrimination; ventricular tachycardia; Cardiology; Delay; Electrocardiography; Error analysis; Frequency domain analysis; Medical diagnostic imaging; Rhythm; Sequential analysis; Signal processing algorithms; Testing; Adult; Algorithms; Electrocardiography; Female; Humans; Likelihood Functions; Male; Middle Aged; Normal Distribution; Signal Processing, Computer-Assisted; Tachycardia;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.293223
  • Filename
    293223